I Tried TypeScript “Named” Arguments for Constructors — Here’s My Take

I’m Kayla. I write code all day. I also break it sometimes. Then I fix it. You know what? One tiny thing saved me a lot of time this year: using “named” arguments for class constructors in TypeScript. It’s not a real language feature. It’s a pattern. But it feels real once you use it.
If you’re curious about how this pattern shows up in everyday JavaScript as well, the wider community often calls it the named-arguments pattern.

And yes, I’ve used it in my own apps. On a late night, tea in hand, cat on keyboard. Let me explain.

The pain: positional args make my brain hurt

I used to write classes like this:

class User {
  id: string;
  name: string;
  email?: string;
  isActive: boolean;

  constructor(id: string, name: string, email?: string, isActive: boolean = true) {
    this.id = id;
    this.name = name;
    this.email = email;
    this.isActive = isActive;
  }
}

// Call site
const u = new User("u1", "Kayla", undefined, false);

Now read that call. What is false here? Is it isActive? Is email missing? I had to count the commas. Not fun.

The switch: one object, clear names

So I changed to “named” args. It’s just one object. But it reads like a story. If you’d like an expanded, real-world walkthrough, I’ve published one on ImprovingCode.com that pairs perfectly with the examples below.
For readers who want every gritty detail, you can dig into the full deep-dive here: I tried TypeScript “named” arguments for constructors — here’s my take.
For a succinct overview from a different angle, there’s also this Medium explainer on named arguments for constructors in TypeScript.

interface UserArgs {
  id: string;
  name: string;
  email?: string;
  isActive?: boolean;
}

class User {
  id: string;
  name: string;
  email?: string;
  isActive: boolean;

  constructor({ id, name, email, isActive = true }: UserArgs) {
    this.id = id;
    this.name = name;
    this.email = email;
    this.isActive = isActive;
  }
}

// Call site
const u = new User({
  id: "u1",
  name: "Kayla",
  isActive: false, // very clear
});

I can pass fields in any order. I can see what each value means. My future self says thanks.

Defaults that just work

I like sane defaults. I set them right in the destructuring.

interface ReportArgs {
  title: string;
  author?: string;
  date?: Date;
  pageSize?: "A4" | "Letter";
}

class Report {
  title: string;
  author: string;
  date: Date;
  pageSize: "A4" | "Letter";

  constructor({
    title,
    author = "System",
    date = new Date(),
    pageSize = "A4",
  }: ReportArgs) {
    this.title = title;
    this.author = author;
    this.date = date;
    this.pageSize = pageSize;
  }
}

const r = new Report({ title: "Q3 Numbers" }); // uses all defaults

One nice thing: the defaults kick in when a field is missing or undefined. But not when it’s null. That bit tripped me once.

Real use: a Mailer config that didn’t bite me later

I shipped a small Mailer. Then my PM asked for TLS and timeouts. I didn’t break calls, because the args were named.

interface MailerArgs {
  host: string;
  port?: number;
  secure?: boolean;
  username?: string;
  password?: string;
  timeoutMs?: number;
}

class Mailer {
  host: string;
  port: number;
  secure: boolean;
  username?: string;
  password?: string;
  timeoutMs: number;

  constructor({
    host,
    port = 587,
    secure = false,
    username,
    password,
    timeoutMs = 5000,
  }: MailerArgs) {
    this.host = host;
    this.port = port;
    this.secure = secure;
    this.username = username;
    this.password = password;
    this.timeoutMs = timeoutMs;
  }
}

const mailer = new Mailer({
  host: "smtp.myapp.com",
  username: "no-reply",
  password: "secret",
  secure: true,
});

Later, I added timeoutMs. Old calls still worked. New calls could set the field. No headache. No reorder mess.

Tiny add-on: type once, reuse everywhere

I like to reuse the args type for factories and helpers.

interface ProductArgs {
  id: string;
  name: string;
  priceCents?: number;
  tags?: string[];
}

class Product {
  id: string;
  name: string;
  priceCents: number;
  tags: string[];

  constructor({
    id,
    name,
    priceCents = 0,
    tags = [],
  }: ProductArgs) {
    this.id = id;
    this.name = name;
    this.priceCents = priceCents;
    this.tags = tags;
  }

  static freeSample(args: Omit<ProductArgs, "priceCents">) {
    return new Product({ ...args, priceCents: 0 });
  }
}

const p = Product.freeSample({ id: "p1", name: "Sticker" });

Clear types. Clear calls. Less guessing.

A few “gotchas” I hit (and how I handled them)

  • Extra fields: Passing an object literal with unknown fields will warn. I like that. If I truly need extra stuff, I capture it.

    interface WithRest extends UserArgs {
      [key: string]: unknown;
    }
    
    class UserWithRest extends User {
      rest: Record<string, unknown>;
      constructor(args: WithRest) {
        const { id, name, email, isActive, ...rest } = args;
        super({ id, name, email, isActive });
        this.rest = rest;
      }
    }
    
  • Destructuring and “parameter properties”: You can’t do this neat trick:

    // Not allowed:
    // constructor(public { id, name }: UserArgs) {}
    

    So I keep fields normal and assign inside the body. Simple wins.

  • Null vs undefined: Defaults don’t run on null. If someone sets something: null, it stays null. I check it when needed.

  • Mixing styles: For legacy code, I sometimes support both. But I don’t love it. It adds noise.

    class LegacyUser {
      id: string;
      name: string;
    
      constructor(id: string, name: string);
      constructor(args: { id: string; name: string });
      constructor(a: string | { id: string; name: string }, b?: string) {
        if (typeof a === "string") {
          this.id = a;
          this.name = b!;
        } else {
          this.id = a.id;
          this.name = a.name;
        }
      }
    }
    

When I don’t use it

  • For two tiny fields with no defaults? I may keep them positional.
  • For perf hot paths in tight loops? I stick to simple calls. Though, honestly, it’s rarely the bottleneck.

One niche scenario where the pattern also shined was while prototyping a personal “message generator” for different chat platforms. The function accepted optional fields like caption, mediaUrl, and isNSFW, and I really didn’t want to confuse them. If you need real-world inspiration (or sample data) for risqué chat content, this curated collection of WhatsApp sexts showcases how people actually phrase, punctuate, and emoji-up their messages, which is handy when you’re seeding test databases or refining content-moderation rules. For a location-specific angle on adult-themed listings, I even browsed the structure of posts over at AdultLook Poway — the page gives a clear look at the fields real advertisers use (think location, rates, and bio snippets), so you can model realistic payloads or sanity-check your own naming conventions before they hit production.

A quick checklist I follow

  • Define Args interface.
  • Make only real requirements required.
  • Put defaults in the destructuring.
  • Keep calls readable at a glance.
  • Don’t hide type errors with broad casts.

Final word: small change, calmer code

This pattern made my code easier to read. It made refactors less scary. The calls tell a story, field by field. It’s not magic. It’s just one object. But it feels nice. And when you’re tired and fixing bugs at 11 pm, nice matters.

If your

Importing CSV to DynamoDB with Lambda + TypeScript: What I Loved, What I Fussed Over

I had to load a big CSV into DynamoDB. It was for a youth soccer club site I run on weekends. Parents sent player data in spreadsheets. I needed that data in a clean table, fast. So I built a tiny Lambda in TypeScript that reads a CSV from S3 and writes rows to DynamoDB in batches. Sounds simple, right? It mostly was. But a few bumps made me sip my coffee extra slow.

Here’s my honest take, plus the exact code I used.
If you're after the expanded, tutorial-style version with extra screenshots, it's all captured in this detailed write-up.


Why I even needed this

I had player sign-ups in one messy CSV. The club wanted search by team and by email. I already had a DynamoDB table called Players. It used:

  • PK: playerId (a UUID)
  • SK: teamId (string)

I also had a GSI for email lookups. Nothing fancy. I just needed a clean, safe way to push rows in, with retries, and not blow my write capacity.


The setup that actually worked for me

  • Trigger: S3 upload (put the CSV in a bucket, Lambda runs)
  • Runtime: Node.js 20.x
  • Lang: TypeScript
  • Parser: csv-parse
  • AWS SDK: v3 (DynamoDBDocumentClient)
  • Build: esbuild (kept the bundle tiny)
  • Lambda memory: 512 MB
  • Timeout: 5 minutes (I later set 10 for large files)
  • DynamoDB write: batch write with backoff on UnprocessedItems

If you want a deeper dive into the parser itself, the csv.js parse documentation is an excellent reference—it's where I double-checked options like bom and relax_quotes.

A concise DynamoDB batch-write primer that helped me tighten this flow is over here.

I know some folks glue stuff with Glue. I kept it simple. One Lambda, one job.


A real CSV I used (trimmed)

playerId,teamId,firstName,lastName,email,birthYear
p-1001,u10-blue,Sam,Lopez,sam.lopez@example.com,2014
p-1002,u10-blue,Ana,Ruiz,ana.ruiz@example.com,2014
p-1003,u12-red,Jai,Patel,jai.patel@example.com,2012

Note: the CSV came from Numbers on a Mac first. Then someone opened it in Excel on Windows. Then it had a BOM at the start. That tiny BOM made my first run hiccup. More on that later.


My Lambda code (TypeScript)

This reads the S3 file stream, parses CSV row by row, and writes to DynamoDB in batches of 25. It handles retries for unprocessed items. It logs a tiny summary at the end. Nothing wild.
While wiring this up, I also played with using named arguments in TypeScript constructors to keep things readable—here’s my quick take on that experiment.

// code...

Env vars I set on the function:

  • TABLE_NAME = Players

Role for the function needed S3 read and DynamoDB write. Here’s the policy chunk that worked for me.

// policy...

Build tip: I used esbuild with “bundle: true” and target “node20”. I kept csv-parse in the bundle. No layer needed.


Things that made me grin

  • Batch writes are fast. With 25 items per call, it felt smooth.
  • The doc client saves time. No manual marshalling.
  • Backoff on UnprocessedItems worked well. It kept me from slamming the table.
  • Event-driven feels nice. I upload to S3, it runs. Done.

I also liked CloudWatch logs here. I watched it tick through batches while I ate a granola bar. Simple joy.


Things that bugged me (but I fixed them)

  • BOM at the start of the file. The parser with bom: true fixed that.
  • Commas inside quotes. Names like “Smith, Jr.” broke my first test. relax_quotes helped.
  • Throttling on big runs. When WCU was low, I saw retries. Backoff handled it, but it slowed the run.
  • Bad rows. Missing teamId or email? I skipped and logged them. I later wrote them to a dead letter S3 key.
  • Packaging. If your bundle grows, Lambda can get chunky. esbuild kept it lean, but I had to prune dev stuff.

One more small thing. Emails with uppercase letters caused dupes in my GSI. I normalized to lower case. That saved me later.


Real numbers from my run

  • File size: ~18,200 rows
  • Lambda memory: 512 MB
  • Timeout: 10 minutes
  • Table WCU: 500
  • Total time: about 3.5 minutes
  • Cost: cents. Like, under a coffee.

Could it be faster? Sure. But I cared more about safe writes and clean logs than raw speed.


A few tiny helpers that paid off

  • Idempotency: I used a stable playerId when it existed. If not, I made one from email + name + team. That kept reruns from making dupes.
  • Conditional writes: In another run, I used a ConditionExpression to avoid overwriting live data. For this batch job, I kept it simple.
  • Dead letter: I sent bad rows (JSON) to a “failed/” folder in S3. Parents do typos. It happens.
  • Partial keys: I logged any row missing playerId or teamId. Later I sent those rows back to the team lead with notes.

When I’d pick this stack again

  • You have CSVs from partners or teams.
  • You need DynamoDB fast, but with safety.
  • You like small tools over huge pipes.
  • You want a one-button (or one-upload) load job.

If you need heavy transforms or joins, I’d reach for another tool. But for straight CSV to DynamoDB, this felt right.

For membership-based platforms—think private clubs, dating hubs, or swinger communities—you often have to digest sign-up spreadsheets in one gulp. One real-world example is the vibrant lifestyle network over at SLS Swingers where the team curates a large catalog of member profiles; browsing their site shows how streamlined data pipelines translate into faster matching and happier users. Likewise, regional adult classifieds depend heavily on timely data imports; exploring the listings on AdultLook's Newport News board lets you see how fresh, well-structured ads improve visibility and trust—proof that clean ingestion workflows pay tangible dividends.


Quick checklist you can steal

  • S3 trigger set to the right prefix (like imports/).
  • Lambda timeout high enough for your row count.
  • Memory at least 512 MB for steady parse speed.
  • Batch size 25, with retries and backoff.
  • CSV parser set to handle BOM and quotes.
  • Normalize keys (email lower case, trim spaces).
  • Log summary: total rows, wrote count, skipped count.
  • Write errors to S3 for follow-up.

Final take

This path—Lambda + TypeScript + csv-parse + DynamoDB—felt solid. It was calm, cheap, and honest. A few bumps, sure. But once I tuned backoff and cleaned the CSV quirks, it ran like a steady drum.

For an AWS-maintained perspective, the official blog post on ingesting CSV data to Amazon DynamoDB using AWS Lambda walks through a very similar flow and is worth skimming.

Would I use it again? Yep. I already have. Two more imports, same stack, zero fuss. You know what? Sometimes plain tools just do the job.

I Built Three Stores With Node.js E-Commerce: Here’s My Honest Take

I’m Kayla. I’ve built three real stores with Node.js. Different sizes. Different pain. Same late nights.

If you’re wondering, “Can Node carry my shop?” Short answer: yes. But it depends on the shape of your store and your team. Let me explain. If you want a zero-fluff deep dive into battle-tested Node patterns for commerce, I highly recommend this breakdown on ImprovingCode — it taught me tricks I now reach for daily.

Store #1: Medusa + Next.js for a Band Merch Shop

This was a scrappy build. Hoodies, vinyl, stickers. I ran Medusa (official site) as the backend (Node), and Next.js for the storefront. Stripe for payments. Shippo for labels. Postgres and Redis on Railway. Frontend on Vercel. Nothing fancy.

What worked great:

  • I got a working store in a day. Seed data helped.
  • Products had variants out of the box. Small, medium, large? Easy.
  • The admin panel did the basics: orders, returns, swaps.
  • Stripe plugin was solid. Refunds and captures were clean.

What made me groan:

  • Shipping rules got weird. Free shipping on vinyl but not on hoodies? I wrote a custom fulfillment rule. It worked, but I felt the glue.
  • Medusa updates moved fast. A minor upgrade broke my coupon code check once. Fix was small, but I had to read the code to see why.
  • Webhooks needed care. I used BullMQ for queues so email didn’t block checkout. Worth it. Still, one missed env var and orders stuck. Ouch.

Real moment: Our Black Friday drop hit 1,200 orders in a weekend. One t3.medium box on AWS handled the backend fine with Redis cache. CPU spiked during drops only. I set rate limits with express-rate-limit and kept checkout smooth.

Would I do it again? For a small to mid shop, yes. It felt “Node-y” in a good way. I could read the code. I could patch stuff fast.

Store #2: Vendure (NestJS) for a B2B Catalog That Needed Rules

This one was not cute. It had price lists per customer, buy boxes, and a sales rep flow. I used Vendure (official site) (also Node, built on NestJS). Postgres on Supabase. Admin UI from Vendure. Frontend was a simple Next app with GraphQL.

What I loved:

  • Strong TypeScript. I knew what each field was. Errors made sense.
  • Promotions were flexible. We made “Buy 10, get 2 free for Warehouse Clients” without hacks.
  • GraphQL API was clean. I could test it in the playground like a pro.

What tested my patience:

  • The plugin dev flow felt heavier. NestJS makes you think in modules. Good for order. Slower for quick hacks.
  • Build times were longer. Not bad, but I noticed on CI.
  • Bulk import needed care. I wrote a script with csv-parse and used the import API. It worked, but it wasn’t plug-and-play.

Real issue: We sent order webhooks to an old ERP. The ERP would time out. Vendure retried, which was fine, but the ERP double-booked orders. I added idempotency keys and a BullMQ queue. Problem solved. Felt very “warehouse.”

Would I use it again? For B2B or complex pricing, yes. For a small shop? Probably overkill.

Store #3: A Custom Express Build for a Local Bakery

This one was fun. And a little silly. The bakery needed pickup slots, day-old deals after 3 p.m., and a “we ran out” button. Nothing fit clean. So I went custom: Express + Objection.js + PostgreSQL. Stripe for payments. Nodemailer for email. Hosted on Fly.io with Docker. PM2 for the process.

What worked sweet:

  • I controlled the checkout flow. Pre-auth on Stripe until staff marked “Ready.” People liked it.
  • The “day-old” logic was simple code, not a plugin fight.
  • Fast pages. No heavy admin. Just what they needed.

What bit me:

  • I had to build an admin. Even a small one takes time.
  • Returns were manual. They wanted it that way, but still.
  • I had to write tests. And yes, I broke things when I skipped them.

Real moment: On launch day, I fat-fingered a CORS rule. Checkout failed for Safari only. I fixed it in 10 minutes, but that ten felt like an hour. Keep a staging site. Please.

Would I repeat? Only when the rules are weird, the team is small, and time lines are short. It’s fast… until it’s not.

Payments, Emails, and All the Glue

  • Stripe worked great in all three builds. Webhooks can drift, so log every event. I store Stripe IDs on orders. Saves me.
  • PayPal was okay on Medusa. Sandbox was flaky. Live was fine.
  • Email: I moved from SMTP to Resend. Fewer delivery headaches.
  • Klaviyo plugged in clean on the Next.js frontends. Tags make life easy.

Thinking about spicing up your storefront with real-time video demos or live shopping sessions? Before you dive in, take a minute to skim this detailed ImLive review — it breaks down how a high-traffic cam platform handles streaming performance, user engagement, and friction-free payments, offering actionable lessons you can borrow when building similar live-commerce features in Node.

Likewise, if your catalog dips into adult or high-risk inventory, ad networks and classifieds can flip their policies overnight. The coverage of the AdultLook ban fallout shows exactly how fast a single platform change can nuke a traffic source — the piece maps the timeline, the impact on sellers, and concrete strategies for diversifying marketing so your Node checkout doesn’t stall when rules shift.

Hosting and Cost (Yes, It Matters)

  • Vercel was perfect for frontends. Build previews saved my butt during design changes.
  • Backends: Railway was easy for quick spins. Fly.io or DigitalOcean for control. PM2 + Nginx still works.
  • Database: Supabase for Postgres with backups. Redis on Upstash for queues and cache.

Rough monthly for the band store: about $90–$130 across Vercel, Railway, Supabase, and Upstash. Spikes on big drops, but not scary.

Things I Wish Someone Told Me

  • Use a queue (BullMQ) for emails, webhooks, and inventory sync. Your checkout will thank you.
  • Cache product pages. I used stale-while-revalidate in Next.js. Inventory stayed fresh with a webhook poke.
  • Rate limit checkout and cart. Bots will find you.
  • Test coupons and taxes like a maniac. TaxJar made it sane for US. EU VAT took longer. Label your test orders clearly.

So… Which Path Should You Take?

  • New store, simple rules, fast launch: Medusa + Next.js + Stripe. You’ll ship, then polish.
  • Complex pricing or B2B flow: Vendure. It’s strict, but it won’t crumble.
  • Weird logic or local quirks: Custom Express. Keep scope tight. Write tests.

If you’re a solo dev, stick with Medusa first. If you’re a small team with TypeScript chops, Vendure feels solid. If you’re a tinkerer with a strong coffee habit, custom is fun—but be real about maintenance.

My Verdict

Node.js e-commerce can be smooth, human, and fast. It lets you fix the tiny things that make a store feel right—like a gentle checkout or a tidy receipt. But it’s not magic. You still need logs, queues, and a plan when a webhook sneezes.

Would I bet my next store on Node again? Yeah. With eyes open, a queue ready, and a sticky note that says: “Don’t touch prod on Fridays.”

You know what? That note has saved me more than once.

I deleted Node.js on my machines. Here’s what actually worked.

I love Node.js. I build little tools, test APIs, and mess with hobby apps (I even built three full e-commerce stores with it—here’s my honest take). But sometimes you need a clean slate. I had to remove Node.js twice this year—once on my MacBook, and once on a Windows desktop at my studio. It sounded simple. It wasn’t always simple. But it’s doable.

Here’s what I did, what broke, and what I’d do again.


Quick story first

Why remove it at all? I had version clashes. One client used 18, another used 20. My global packages got weird. You know what? I just wanted a clean cut and a calm console.

Short version:

  • Homebrew made my Mac easy.
  • Windows uninstalled fine, but PATH got sneaky.
  • NVM was my favorite way to manage versions.
  • Manual removal works, but it’s fussy.

Quick aside: for a deeper cleanup checklist that complements the steps below, check out Improving Code for an excellent walkthrough. You can follow the full play-by-play in this dedicated guide.


My MacBook: Homebrew made it feel tidy

This was my main machine (Apple Silicon). I had installed Node.js with Homebrew. Brew did most of the heavy lifting. If you're after an external walkthrough, the BrowserStack guide on removing Node with Homebrew covers the essentials as well.

What I ran:

  • brew list | grep node (just to see it)
  • brew uninstall node (or brew uninstall node@18, if versioned)
  • brew cleanup
  • node -v (should fail or say not found)
  • which node (should show nothing)

One hiccup: my global npm folder stayed around. npm kept pointing to an old path. I cleaned it by removing my global folder.

  • npm root -g (note the path)
  • Then I deleted that folder. On my Mac it lived under /opt/homebrew/lib/node_modules.

If you installed Node.js from the .pkg file (not Brew), I’ve done that clean too. I had to delete the files by hand:

  • /usr/local/bin/node
  • /usr/local/bin/npm and /usr/local/bin/npx
  • /usr/local/include/node
  • /usr/local/lib/node_modules
  • /usr/local/share/man/man1/node.1
  • On Apple Silicon, also check /opt/homebrew/... paths

After that, node -v should be gone. If it still shows, your shell might be caching. I closed Terminal and opened it again.


NVM saved my sanity (Mac and Linux)

Honestly, this is the way. I keep multiple Node versions without nuking my setup. When I needed to remove a version, I ran:

  • nvm ls (see what’s installed)
  • nvm uninstall 18 (or whatever version)
  • nvm alias default 20 (set a default)
  • If I wanted a true clean: remove NVM itself by deleting ~/.nvm and removing the NVM lines in .zshrc or .bashrc.

It felt safe. No stray files. No mystery paths. No drama.


Windows: the sneaky PATH thing

On my studio PC, I removed Node.js through Settings. It worked fine, but it left crumbs. I also cross-checked my process against a thorough GeeksforGeeks tutorial on completely removing Node.js from Windows—handy for spotting stray files.

What I did:

  • Settings > Apps > Installed Apps > Node.js > Uninstall
  • Closed VS Code and terminals (this matters)
  • Removed leftovers:
    • C:Program Filesnodejs
    • C:Users<me>AppDataRoamingnpm
    • C:Users<me>AppDataRoamingnpm-cache
  • Then I fixed PATH:
    • Search “Environment Variables”
    • Edit PATH for my account and for System
    • Remove lines that point to C:Program Filesnodejs or Roamingnpm

Checks I ran:

  • where node
  • node -v
  • npm -v

If you want version control on Windows, nvm-windows or Volta are great. I use nvm-windows on one PC and Volta on another. Both keep things neat.


Linux (Ubuntu) notes from my lab box

I had Node.js from the NodeSource repo. That machine is also where I try out cloud scripts—like importing CSV data to DynamoDB with a TypeScript Lambda. I removed it like this:

  • sudo apt remove nodejs
  • sudo apt purge nodejs
  • sudo rm -rf /usr/lib/node_modules (only if it was created by that install)
  • If I used NodeSource, I also removed the repo:
    • sudo rm /etc/apt/sources.list.d/nodesource.list*
    • sudo apt update

I checked:

  • which node
  • node -v
  • npm -v

Then I went back to NVM on that box. Cleaner life.


Checks I swear by

These quick tests saved me time:

  • node -v and npm -v (should be gone if you removed them)
  • which node (Mac/Linux) or where node (Windows)
  • echo $PATH (Mac/Linux) or echo %PATH% (Windows)
  • npm config get prefix (to find global install folder)

I also ran:

  • npm cache clean --force (when npm acted odd)

One more tip: after big changes, close your shell. Then open a fresh one. I forget this. Then I grumble. Then I remember.


Real snags I hit (and fixed)

  • VS Code held a lock on npm files on Windows. I closed it, then the uninstall worked.
  • Zsh still showed an old Node path. I removed NVM lines in .zshrc, reloaded the shell, and it cleared.
  • Global CLI tools vanished (of course). After a clean install, I reinstalled just what I needed: npm i -g yarn, npm i -g pnpm, or none at all. Less clutter felt nice.

What I’d pick next time

  • If you used Homebrew: use brew uninstall. It’s smooth.
  • If you used a .pkg on Mac: do the manual clean and be thorough.
  • On Windows: uninstall in Apps, then fix PATH, then delete leftovers.
  • For managing versions: NVM (Mac/Linux) or nvm-windows/Volta (Windows). It keeps your head clear.

Why make it hard on yourself? Version managers just work.


Tiny cheat sheet

  • Mac (Homebrew): brew uninstall nodebrew cleanup → check versions
  • Mac (.pkg): delete node, npm, npx, include, lib folders under /usr/local (and maybe /opt/homebrew on Apple Silicon)
  • Windows: Uninstall in Apps → remove C:Program Filesnodejs and Roaming npm folders → clean PATH
  • Linux: apt remove + apt purge → remove NodeSource list if used → switch to NVM

Before you finish Marie-Kondo-ing your dev stack, you might also be in the mood to declutter the rest of your phone. If a few dating installs are gathering digital dust, check out this concise rundown of no-strings-attached options via FuckPal’s guide to the best fuck apps. It ranks the most popular casual-hookup platforms, explains who each one suits, and helps you decide which app (if any) is worth keeping on your home screen.

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Final take

Deleting Node.js isn’t scary. It’s just picky. Paths matter. Tools matter. And yes, one small leftover can make your console act strange.

But once it’s clean, a fresh install feels great. Pick a version manager, set a default, and breathe a little. That’s what I did—and I haven’t cursed at PATH in weeks. Well… almost.

I actually uninstalled Node.js three times. Here’s what worked (and what didn’t)

Yes. My builds sped up. My PATH got clean. npm stopped yelling. It felt like spring cleaning for code.

Side note: After hours of scrubbing environment variables I noticed that sometimes you also need a quick, no-nonsense way to clear the clutter in your social life. If your idea of a mental reset involves browsing casual local listings instead of shell history, you may want to check out this streamlined alternative to the old-school personals scene—the guide explains how to find like-minded adults nearby while avoiding the spam and sketchy posts that plague traditional classified sites.

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It wasn’t perfect. Deleting the wrong path can be scary. But going slow helped. I checked with which node or where node after each step. I kept backups of my dotfiles. And I only kept one install method per machine. That was the real win.

If you’re stuck, start simple. Remove the one you can see (Settings or Homebrew), then check. If it still shows up, sweep the leftovers. And breathe. You’ve got this.

—Kayla Sox

My Honest Take on “nodejs delete file” (with real code I used)

I’m Kayla, and I build small web tools at home and at work. I delete files in Node.js a lot. Cache files. Old logs. Temp images after upload. Sounds boring, right? But if you mess it up, your app acts weird. I’ve been there. So here’s how it really felt, what worked, and what bit me.

By the way, I tested on macOS Sonoma and Windows 11. Node 18 LTS. VS Code. Nothing fancy.

The quick vibe

  • Deleting one file is easy and fast.
  • Deleting a folder works now with fs.rm. That used to be messy.
  • Windows likes to lock files. That tripped me more than once.
  • Error codes matter. ENOENT, EISDIR, EBUSY—know them and you’ll be fine.

You know what? Node keeps it simple, but not simple-minded.

If you’d like an even deeper dive into bullet-proof file operations in Node, I found this concise write-up on Improving Code exceptionally useful. For an even more personal walkthrough of the snippets below, check out my honest take on Node.js delete file with real code I used.

My setup, so you know I’m not guessing

  • Node 18.17 on my MacBook Air (M2).
  • Node 18.18 on a Windows 11 desktop.
  • Apps: a small photo resizer, a log cleaner script, and a tiny API that uploads files, then clears temp stuff.

Alright, let me show you what I ran.

Deleting one file (the “no drama” path)

I use this when a user replaces a profile photo. I clear the old one.

import { promises as fs } from 'fs';
import path from 'path';

async function deleteFileSafe(filename) {
  const filePath = path.join(process.cwd(), 'uploads', filename);

  try {
    await fs.unlink(filePath);
    console.log('Deleted:', filePath);
  } catch (err) {
    if (err.code === 'ENOENT') {
      // File not found. That’s fine for my case.
      console.log('Already gone:', filePath);
    } else {
      // Anything else? I want to know.
      console.error('Delete failed:', err.code);
      throw err;
    }
  }
}

This worked well on both Mac and Windows. If the file doesn’t exist, I don’t cry about it. I just log and move on. If you’re hungry for every last option or flag you can tweak, the official Node.js File System docs spell them all out in one place.

Deleting a whole folder (yes, including stuff inside)

Old Node needed extra tools for this. Not now. I clean a cache folder after a build.

import { promises as fs } from 'fs';

async function wipeCache(dir) {
  await fs.rm(dir, { recursive: true, force: true });
  console.log('Cache wiped:', dir);
}

// Example
await wipeCache('./.cache');
  • recursive: true lets it clear all files and folders inside.
  • force: true makes it skip “file not found” errors.

If you want a quick primer on the fs.rm method and its handy options, this breakdown on GeeksforGeeks hits the high points without the fluff.

Small warning: force: true can hide real mistakes. I once passed the wrong path and didn’t see it for a day. Ouch.

Cleaning old logs (my weekly chore)

I run this on Sunday night. It keeps only one week of logs. Simple rules, clean space.

import { promises as fs } from 'fs';
import path from 'path';

async function cleanOldLogs(dir, days = 7) {
  const cutoff = Date.now() - days * 24 * 60 * 60 * 1000;
  const names = await fs.readdir(dir);

  for (const name of names) {
    const full = path.join(dir, name);
    const stat = await fs.stat(full);
    if (stat.isFile() && stat.mtimeMs < cutoff) {
      await fs.unlink(full);
      console.log('Removed old log:', name);
    }
  }
}

// Example
await cleanOldLogs('./logs', 7);

This one felt very “Node”. Small, clear, and it just works.

Temp files after upload (don’t forget these)

I upload large images to cloud storage. While the upload runs, I save a temp file. After a success, I clean it up.

Here’s the flow I used:

import { promises as fs } from 'fs';
import path from 'path';

// Pretend this uploads and returns true when done
async function fakeUploadToCloud(srcPath) {
  // ... do real upload work here ...
  return true;
}

async function handleUpload(tempName) {
  const tmpPath = path.join(process.cwd(), 'tmp', tempName);

  const ok = await fakeUploadToCloud(tmpPath);
  if (ok) {
    try {
      await fs.unlink(tmpPath);
      console.log('Temp cleared:', tmpPath);
    } catch (err) {
      console.error('Temp delete failed:', err.code);
    }
  }
}

Two notes from real life:

  • If you keep a read stream open on Windows, fs.unlink can throw EBUSY. Close streams first.
  • With big files, wait for the upload to fully finish. Premature delete can break stuff. Ask me how I know.

The weird parts I ran into

  • EISDIR when I tried fs.unlink on a folder. My bad. Use fs.rm for folders.
  • EBUSY on Windows when the file was still open by another process (or my own stream). I fixed it by closing the handle and retrying after 100 ms.
  • EACCES on a CI box where the user didn’t have rights. I changed the folder owner and it was fine.
  • Paths with spaces on Windows worked, but I now always use path.join and path.resolve. It keeps things neat.

Here’s a tiny retry helper I used when files felt “sticky” on Windows:

async function retry(fn, tries = 3, waitMs = 100) {
  let lastErr;
  for (let i = 0; i < tries; i++) {
    try {
      return await fn();
    } catch (err) {
      lastErr = err;
      await new Promise(r => setTimeout(r, waitMs));
    }
  }
  throw lastErr;
}

And then:

await retry(() => fs.unlink('C:\temp\locked.txt'));

It’s not fancy, but it saved me during a deploy.

A simple safety net (when I feel nervous)

If a delete feels risky, I “soft delete” first. I rename the file, then remove it later.

import { promises as fs } from 'fs';
import path from 'path';

async function softDelete(p) {
  const backup = p + '.to-delete';
  await fs.rename(p, backup);
  // Later, in a cron or a worker:
  await fs.unlink(backup);
}

Why? It gives me a tiny window to undo mistakes. I used this on a folder with user photos. It helped once when a path bug hit production.

Speed talk, in plain words

Deleting many files? Promise.all is fast, but it can flood the disk. I saw some hiccups on my Windows box. So I keep it simple with a for…of and await. It’s slower, but smooth.

If you need a middle road, cap the number of parallel deletes. I sometimes run 5 at a time.

Tools I tried (but I use core now)

  • rimraf: I used this before fs.rm got good. It was fine, but I don’t need it now on Node 16+.
  • del: Nice for globs, but I lean on fs.rm and a quick readdir these days.

Keeping fewer deps makes my build lighter. And it’s one less thing to keep up to date.

Little tips from my notebook

  • Always check the path you pass. I log it. Twice if I’m tired.
  • Close file streams before delete. Especially on Windows. Trust me.
  • Handle ENOENT as “okay” if your workflow tolerates missing files.
  • Use fs.rm for folders. fs.unlink for files. Don’t mix them.
  • For logs and temp stuff, set a schedule. I run a cron on Sunday night.

Side note: all this tidying eventually pushed me to uninstall and reinstall Node itself more times than I’d like to admit. When I finally wiped it from my dev laptop, this step-by-step guide is what actually worked. After three separate attempts across different machines, I also wrote up a candid post on what worked and what didn’t. Feel free to bookmark them if you ever need a clean slate.

Final word

Node.js file delete feels solid now. It’s fast. The APIs are clear. Errors make sense once you’ve seen them a few times. I do wish Windows was less sticky with file locks

Is Node.js Safe? My Real Take After Shipping Stuff With It

Short answer? Yes, Node.js can be safe. But it’s not a magic shield. It’s like a sturdy bike—great frame, fast wheels—but you still need a helmet, working brakes, and lights at night. Let me explain what I’ve seen, hands on, the good and the not-so-good.

What I’ve Built With Node.js (So You Know I’m Not Guessing)

  • A tiny family recipe API on Express, Postgres, and Prisma. It runs on Render. My dad sends me new chili edits, like, weekly.
  • A school pickup app for my sister’s PTA. About 800 parents used it during fall rush. Text alerts, simple logins, nothing fancy.
  • At work, a webhook service that takes payment updates and pushes them to our CRM. It sits behind a load balancer and logs to Pino. We watch it like a hawk on Mondays.

That’s three very different lanes. All Node. All live.

Times Node Felt Safe (Real Wins)

  • Input rules saved us: I used zod to check request bodies. One night, someone sent a 5 MB JSON blob with junk fields. The request got rejected fast. Server stayed calm. I slept fine.
  • Rate limits mattered: On the PTA app, we saw a spike from one IP. Looked like a simple flood. express-rate-limit kicked in after 100 hits per 15 minutes. We sent back 429s, and traffic settled.
  • Helmet did heavy lifting: Turning on Helmet added sane headers—X-Frame-Options, HSTS, all that. I didn’t have to think too hard. It blocked some clickjacking tests we ran.
  • JWT done right: We used short-lived tokens and rotated refresh tokens. A leaked token would’ve died quick. That felt good.

You know what? Speed is nice, but I sleep better when logs are clean and quiet.

Times Node Bit Me (Yes, It Happens)

  • Package drama is real: I still remember the ua-parser-js incident. Not our code, but a dependency deep down. We pinned versions and ran Snyk and npm audit. Still, it was a scare. We rotated tokens that day. That week I almost rage-uninstalled Node yet again—if you’re curious, here’s the full story of the three times I actually pulled it off and what I learned.
  • Big file uploads: Multer let a user try a huge upload once. The server didn’t crash, but memory jumped. We added file size caps and a queue. No more spikes. That made me revisit my own helper for safely deleting files in Node—I wrote up the exact code I ended up shipping here.
  • CORS mis-set: I left CORS too open for a staging app and forgot to tighten it before a demo. Not a breach, but a bad habit. Now I keep allowlists by default.
  • Weak secrets, near miss: In early testing, an env var for JWT secret fell back to a default. A teammate noticed weird auth in staging. We fixed the fallback and added checks that refuse to boot if secrets are weak. Slight shame, strong lesson.

Hearing about my own near misses always brings to mind the bigger disasters you read about in the news—think headline-grabbing phone-hack scandals where private messages and photos of A-listers suddenly flooded the web. For a quick refresher on why privacy-first engineering matters, check out this analysis of high-profile celebrity sexting leaks. It breaks down what went wrong, the real-world fallout, and the security blind spots that let it happen, giving you actionable lessons you can fold into your own threat model today.

That same imperative shows up in less-publicized corners of the internet too—think regional dating classifieds where people post extremely personal details. One example is the Brockton feed on AdultLook, hosted by OneNightAffair. Checking out that listing page lets you observe how a real-world, high-traffic niche platform enforces HTTPS, separates user images from profile data, and funnels contact requests through server-side logic—practical security patterns worth stealing for any Node app.

So, is Node the problem? Not really. The runtime was fine. Most pain came from me, settings, or packages.

What I Do Now To Keep Node Safe

This is the playbook I use. It’s simple and it works. For a deeper dive into secure Node.js patterns, I wrote up a full checklist over on ImprovingCode.com. I also put together a candid look at Node.js safety based on real-world shipping experience if you want even more context.

  • Use LTS: I stick to Node LTS and apply patches fast.
  • Lock it down:
    • Helmet for headers
    • express-rate-limit for floods
    • CORS with an allowlist
    • csurf if I use cookies
  • Check inputs: zod or express-validator for every route that takes data.
  • Handle auth the right way:
    • bcrypt for passwords
    • short-lived JWTs
    • refresh token rotation
    • strong secrets in environment variables (dotenv in dev, a secret manager in prod)
  • Keep secrets secret: Never log tokens. Never put keys in Git. Ever.
  • Database safety: Parameterized queries. Prisma helps here.
  • TLS everywhere: HTTPS only. HSTS on.
  • Dependency care:
    • Pin versions and keep the lockfile
    • npm audit and Snyk scans
    • Review new packages; avoid random tiny libs for one-liners
  • Logging and restarts:
    • Pino or Winston for logs
    • pm2 or systemd to restart on crash
    • Alerting on error spikes

It’s a lot in a list, but it becomes muscle memory. Like washing hands before cooking—quick, smart, done. If you want an authoritative checklist straight from the source, the official Node.js docs have a solid overview of security best practices. I also keep the community-curated Node.js best practices list bookmarked for quick reference.

Who Should Use Node.js?

  • Small teams that ship fast and can mind their packages.
  • Folks who like JavaScript front to back. Less context switching helps.
  • Apps that need real-time stuff—chat, live updates, queues.

If your team won’t keep up with patches or reviews? Node can still be fine, but use fewer dependencies and pick well-known ones.

Thinking about pulling Node off your laptop entirely before you decide? You might find this walkthrough of exactly how I deleted it (and what actually worked) useful.

A Few Real Checks I Run Before Launch

  • Did I cap request body size? (Yes.)
  • Are timeouts set? (Server and database.)
  • Are error messages generic? (No stack traces to users.)
  • Are CORS rules strict? (Only what we need.)
  • Do logs hide secrets? (Yes, redacted.)
  • Is the health check endpoint safe? (No private data; just OK/NOT OK.)

So… Is Node.js Safe?

It can be. I ship with it, I trust it, and I’d use it again tomorrow. But safety comes from the whole setup—your code, your packages, your settings, and your habits. Node gives you a strong frame. You add the helmet, the brakes, and the lights.

If you treat it with care, Node.js is not just safe. It’s steady. And steady is what lets you go fast without flying off the road.

TypeScript vs Python: My real-life take

Hey, I’m Kayla. I code for work and for fun. I’ve built apps with TypeScript. I’ve shipped tools and data stuff with Python. I’ve broken things in both. I’ve fixed messes in both. So here’s my honest, first-hand review.
If you’d like to see a longer side-by-side breakdown that digs into everything from setup pain to deploy speed, I put together my notes in this real-life comparison.

Quick vibe check

  • TypeScript feels like a safety net. It nags me a bit, but it saves me from facepalm bugs.
  • Python feels like a warm hoodie. It’s fast to write. It’s easy to read. But sometimes, a tiny bug hides in the shadows.

I use both each week. I’ll tell you how and why.

The dashboard week: TypeScript helped me sleep

I made a small dashboard at work with React and TypeScript. It showed live orders, refunds, and a tiny sparkline chart. Pretty standard. We had a weird bug: a user with no saved settings made the page crash on load. In plain JS, it would crash at runtime. With TypeScript, the compiler told me, “Hey, settings might be undefined. Handle it.” It stopped me before I shipped it.

Did it slow me down on day one? Yep. I had to add types for props, API calls, and chart data. Taking a moment to sprinkle in thoughtful inline comments made those types feel lighter to future-me. I argued with tsconfig too. But after that, it felt calm. Fewer bugs. Better hints in VS Code. When I changed the API shape, the code lit up red in the right spots. I didn’t have to hunt.

Real tools I used:

  • React with TypeScript
  • Zod for runtime checks
  • Jest for tests
  • ESLint + Prettier (and a little side-eye at tsconfig)

One more thing: I liked that “null vs undefined” gets called out. It’s annoying. But helpful. It’s like a coach who tells you to tie your shoes.

The data mess morning: Python let me move fast

I had a pile of CSV files. Sales, returns, and promo codes. Some rows were broken. Some dates were funky. I opened a Jupyter notebook with Python, used pandas, and got answers in under an hour. Cleaned data. Joined tables. Made a quick chart. Done.
If you ever need to sling those CSV rows straight into DynamoDB with a TypeScript AWS Lambda, here’s a handy walk-through that saved me a ton of trial-and-error.

That same day, I wrote a script that renamed 500 photos and pushed them to S3. Python again. Why? It’s simple. The code reads like plain talk. My teammate, who doesn’t code full-time, could read it and tweak it.

Real tools I used:

  • pandas and numpy
  • Jupyter for fast feedback
  • requests for HTTP calls
  • pytest for tests
  • black + ruff for clean code

A bug I hit: NaN vs None vs empty string. That bit me. A count looked off by 1,000. I added pydantic models to validate rows and used mypy to add types later. That cleaned it up. So yes, Python can have types too. You just don’t have to start there.

Web APIs: both can shine

I built a small chat service as a weekend thing. Two versions.

  • TypeScript version: Next.js front end, Express API, shared types for messages. I used Zod schemas to check requests. I loved that types flowed from API to UI. When I changed a field name, everything failed fast during build. Nice.

  • Python version: FastAPI with pydantic models. Super clean. Docs were auto-made. The speed felt great. I could write a new route in minutes. For simple APIs, this felt easy and kind.

Which did I ship? The TS version, because my front end used the same types. It kept the team in sync. But the FastAPI version was quicker to write. I still use it for internal tools.

Speed, teams, and those weird gotchas

  • Speed of coding: Python wins for quick scripts and data work. Less setup. Less fuss.
  • Speed at runtime: For math, Python with numpy is fast. For lots of small web calls, Node with TypeScript feels snappy.
  • Team size: With more devs, TypeScript helps keep code from drifting. Fewer “what’s this object?” moments.
  • Debug stories:
    • TypeScript once saved me from calling a function that sometimes returned null. It warned me. I added a check. No bug report.
    • Python once let a bad date string slide into a report. It looked fine. It wasn’t. I added pydantic and tests. Fixed.

Gotchas I hit:

  • Node version mismatch. Everything broke. NVM fixed it.
  • Python envs got messy. I now use pyenv + venv or Poetry. Much calmer.
  • TypeScript generics are great, but they can melt your brain on Friday at 4 pm.
  • And if constructors with long positional parameter lists have you pulling your hair out, you can try named arguments in TypeScript—here’s a quick field report on how that feels.
  • Python list slicing is cute… until an off-by-one sneaks in.

Tooling that felt good

  • TypeScript: VS Code IntelliSense is gold. Jest runs fast. ESLint nags me, but it’s right.
  • Python: Jupyter for play, pytest for real. black and ruff keep code clean. FastAPI is a joy.

If you want an even deeper toolbox breakdown (and some sharp refactoring tricks), check out the articles over at Improving Code.

When I pick TypeScript

  • Front ends with React, Vue, or Svelte.
  • Shared types across API and UI.
  • Large codebases with many hands.
  • Event-heavy apps: chats, sockets, live dashboards.

A real example: our holiday sale dashboard. High traffic. Lots of states. TS let us refactor without fear. I slept fine.

When I pick Python

  • Data work: cleaning, joins, notebooks.
  • Small scripts: backups, renames, quick HTTP jobs.
  • APIs that need speed to build, not fancy types.
  • ML or stats tasks. It owns that space.

A real example: tax-time data checks. I wrote one notebook. It saved me hours. No drama.

Can you mix them? Oh yes

Most weeks, I do:

  • FastAPI backend (Python)
  • React front end (TypeScript)
  • A small Python worker for heavy jobs (Celery + Redis)
  • Shared API docs, not shared code

That split feels smooth. Use each where it shines.

My plain answer

  • If you’re doing data or quick tasks: choose Python.
  • If you’re building a front end or a big app with a team: choose TypeScript.
  • If you want both speed and safety: start loose, then add types. Python can add types later. TypeScript starts strict.

You know what? You can’t really go wrong. Both are strong. Both are friendly with good tools. Pick the one that lets you ship without stress.

Little checklist before you choose

  • Do you need charts, UI, or a big app? TypeScript.
  • Do you need to crunch files today? Python.
  • Do you share code with many devs? TypeScript helps.
  • Do you work solo and need a fast script? Python is sweet.
  • Do you hate runtime surprises? TypeScript. Or add mypy/pydantic to Python.

If you’re still stuck, start with Python for one week. Then try a small TypeScript app the next. Feel the difference. Your hands will tell you the truth.

Need a break from the console? After pushing a long release, it’s healthy to step away and meet people offline. If you’re interested in meeting women nearby, check out the local girls directory on FuckLocal. You’ll be able to browse location-based profiles and arrange a meetup quickly—no endless swiping, just straightforward connections.

For folks in South Florida who’d rather browse a curated list of verified companions, the AdultLook Boca Raton directory offers detailed profiles, filters, and real-time availability so you can find the perfect match without wasting time.

That’s my take. Real code. Real bugs. Real wins.

Typescript File Path Argument — My Hands-On Take

I’m Kayla. I write a lot of small CLI tools in TypeScript. I pass file paths on the command line all the time. It sounds simple. It’s not always simple. But it can be.

Here’s what I liked, what made me sigh, and the exact code I use now.

I also wrote a deeper, fully narrated walkthrough that zooms in on nothing but argument handling—feel free to jump over to TypeScript file path argument — my hands-on take if you’d like an even more granular look.

Quick gut check

  • What I loved: Node’s path tools are solid. Once I resolve the path, stuff just works.
  • What bugged me: Windows backslashes. Paths with spaces. ESM import from a file path. Also, the “paths” setting in tsconfig fooled me at first.
  • Who this helps: Anyone building a TypeScript CLI that takes a file path like –input ./data/file.json.

For an additional perspective on robust path handling in Node and TypeScript, check out this practical article on Improving Code — it echoes many of the principles I lean on here.

The simple win that saved my night

At 2 a.m., I was shipping a tiny tool for my team. It read a JSON file. I kept getting “file not found.” The fix was one line. Resolve the path against the current folder.

// src/index.ts (ESM)
import fs from "node:fs/promises";
import path from "node:path";

const args = process.argv.slice(2); // e.g. ["--input", "./data/file.json"]

function getArg(name: string): string | undefined {
  const idx = args.indexOf(name);
  return idx >= 0 ? args[idx + 1] : undefined;
}

const rawInput = getArg("--input");
if (!rawInput) {
  console.error("Please pass --input <path>");
  process.exit(1);
}

// Always resolve against where the user runs the command
const inputPath = path.resolve(process.cwd(), rawInput);

const text = await fs.readFile(inputPath, "utf8");
console.log("File length:", text.length);

Run it like this:

  • macOS/Linux:
    • node dist/index.js –input ./data/user.json
  • Windows (PowerShell):
    • node dist/index.js –input ".datauser.json"

You know what? That one path.resolve(process.cwd(), rawInput) line fixed three weird cases for me: dots in paths, spaces in folder names, and different shells. If you want to see how Node itself explains the nuances of absolute versus relative paths, the concise official guide on working with file paths is worth a skim.

Windows paths, quotes, and tiny traps

On my Mac, I forget about quotes. On Windows, I can’t. If a path has spaces, quotes matter:

  • Works:
    • node dist/index.js –input "C:UsersKaylaMy Docsusers.json"
  • Breaks:
    • node dist/index.js –input C:UsersKaylaMy Docsusers.json

Also, ~ does not expand to your home folder in Node args. I wish it did. I wrote a tiny helper.

import os from "node:os";
import path from "node:path";

function expandTilde(p: string) {
  if (!p.startsWith("~")) return p;
  return path.join(os.homedir(), p.slice(1));
}

Then I do:

const inputPath = path.resolve(process.cwd(), expandTilde(rawInput));

ESM import from a file path (the not-so-fun bit)

I wanted to let folks pass a path to a config file that exports JS. With ESM, you can’t import a plain file path string. You need a file URL. This tripped me up for a whole morning.

// Load a JS/TS config via ESM
import { pathToFileURL } from "node:url";
import path from "node:path";

async function loadConfig(p: string) {
  const full = path.resolve(process.cwd(), p);
  const url = pathToFileURL(full).href;
  try {
    const mod = await import(url);
    return mod.default ?? mod.config ?? mod;
  } catch (err) {
    console.error("Failed to import config at:", full);
    throw err;
  }
}

It looks fussy. But it’s steady. It works on macOS and Windows for me with tsx and Node 20.

Globs made easy (batch files, but simple)

Sometimes I want to pass a bunch of files like src/**/*.ts. I use fast-glob. It respects .gitignore too, which is nice.

import fg from "fast-glob";
import path from "node:path";

async function expandInputs(patterns: string[]) {
  const resolved = patterns.map(p => path.resolve(process.cwd(), p));
  return await fg(resolved, { onlyFiles: true });
}

// Example: node dist/index.js --input "src/**/*.ts"

Little note: I resolve first, then pass to fast-glob. That kept my results stable across shells.

“paths” in tsconfig is not a user path feature

This one stung. I set this in tsconfig:

{
  "compilerOptions": {
    "baseUrl": ".",
    "paths": {
      "@/*": ["src/*"]
    }
  }
}

Nice for imports like import foo from "@/utils/foo". But that does nothing for CLI args. If a user passes "@/data/sample.json", your tool won’t find it. It’s a compiler thing, not a runtime thing. So I keep user file paths real and plain.

A tiny but complete CLI I ship at work

This is my current pattern. It’s boring. It’s also calm.

// src/cli.ts (ESM)
// Run with: tsx src/cli.ts --input ./data/input.json
import fs from "node:fs/promises";
import path from "node:path";
import os from "node:os";
import { pathToFileURL } from "node:url";

// Parse flags without extra libs
const args = process.argv.slice(2);
function getFlag(name: string) {
  const i = args.indexOf(name);
  return i >= 0 ? args[i + 1] : undefined;
}
function hasFlag(name: string) {
  return args.includes(name);
}
function expandTilde(p: string) {
  if (!p || !p.startsWith("~")) return p;
  return path.join(os.homedir(), p.slice(1));
}
function normalizeUserPath(p: string) {
  return path.resolve(process.cwd(), expandTilde(p));
}

const input = getFlag("--input");
const config = getFlag("--config");
const useStdin = hasFlag("--stdin");

let text: string;

if (useStdin) {
  // Fallback: read from stdin
  text = await new Promise<string>((res, rej) => {
    let buf = "";
    process.stdin.setEncoding("utf8");
    process.stdin.on("data", chunk => (buf += chunk));
    process.stdin.on("end", () => res(buf));
    process.stdin.on("error", rej);
  });
} else if (input) {
  const filePath = normalizeUserPath(input);
  text = await fs.readFile(filePath, "utf8");
} else {
  console.error("Pass --input <path> or --stdin");
  process.exit(1);
}

let cfg: any = {};
if (config) {
  const url = pathToFileURL(normalizeUserPath(config)).href;
  cfg = (await import(url)).default ?? {};
}

console.log("Chars:", text.length, "Config keys:", Object.keys(cfg).length);

Why I like this:

  • It handles stdin. Good for piping.
  • It expands ~. People use it without thinking.
  • It resolves paths the same way every time.

Stuff that made me grumpy (but I solved it)

  • Backslashes: I now print the resolved path on errors. Users see what the tool sees.
  • Spaces: I tell Windows folks to use quotes. I also show an example in –help.
  • Symlinks: path.resolve is fine, but if you need the real file, use fs.realpath.
  • ts-node vs tsx: I had fewer ESM headaches with tsx. So I stick with tsx for dev.
  • CI weirdness: Always use process.cwd() and not __dirname for user args. That kept my builds stable on GitHub Actions.

Need to clean up temporary build artefacts as part of your workflow? I keep a concise, battle-tested snippet in my honest take on deleting files with Node.js that you can drop straight into any CLI.

On a lighter note, I’m fascinated by how developers and everyday users alike repurpose familiar platforms for entirely new objectives—watching that creativity can spark fresh ideas for tool-building and edge-case testing. A quirky example is the emerging trend of treating LinkedIn as a matchmaking hub; the thoughtful analysis at LinkedIn Dating — Why and How It’s Becoming a Thing digs

Renaming a TypeScript Field and Keeping JSDoc: My Hands-On Review

I’m Kayla. I write TypeScript a lot. Coffee at my desk. Git yelling at me sometimes. And I had one small ask: rename a field, but keep the JSDoc clean and safe. If you want the more formal deep-dive version of this same journey, you can check out Renaming a TypeScript Field and Keeping JSDoc: My Hands-On Review.

You’d think it’s simple. It is… mostly. I tried a few real paths on my laptop, and I’ll show you what worked, what broke, and the tiny gotchas.

My setup: macOS Sonoma, VS Code 1.93, TypeScript 5.6.3, Node 20.


The quick win: VS Code “Rename Symbol” (F2)

Here’s the thing. The built-in rename in VS Code is actually great. It uses the TypeScript language service under the hood. So it can track types, not just text. And it keeps your JSDoc right where it belongs. If you’re looking for a broader discussion on how I structure and preserve comments in real projects, I share concrete patterns in Comments in TypeScript—my real-world take.

Fun fact: the quality of this rename operation got a notable bump back in TypeScript 4.5.

If you’re hungry for more hands-on refactoring tactics, the walkthrough on Improving Code expands on these rename strategies with broader TypeScript examples. If you happen to work in JetBrains WebStorm, the IDE offers a dedicated set of TypeScript-specific rename refactorings that feel pretty similar.

Steps I use:

  • Put the cursor on the field name (the declaration, not just a random use).
  • Press F2. Type the new name. Hit Enter.
  • Watch edits roll across files. It’s kinda nice.

Real example: class field

Before:

class User {
  /** The user's name shown in the app */
  name: string;

  constructor(name: string) {
    this.name = name;
  }
}

const u = new User("Kayla");
console.log(u.name);

I put my cursor on name in the class, hit F2, and rename to fullName.

After:

class User {
  /** The user's name shown in the app */
  fullName: string;

  constructor(fullName: string) {
    this.fullName = fullName;
  }
}

const u = new User("Kayla Sox");
console.log(u.fullName);

The JSDoc stayed. All uses changed. No drama.

Real example: interface property

Before:

interface Person {
  /** Age in years, used for stats and badges */
  age: number;
}

const p: Person = { age: 7 };
function celebrate(x: Person) {
  return x.age + 1;
}

Rename age to years on the interface.

After:

interface Person {
  /** Age in years, used for stats and badges */
  years: number;
}

const p: Person = { years: 7 };
function celebrate(x: Person) {
  return x.years + 1;
}

Again, the doc stays with the declaration. Usages follow.

Real example: type alias object

Before:

type Product = {
  /** Short text shown on cards */
  label: string;
};

const card: Product = { label: "Summer Hat" };
console.log(card.label);

Rename label to title.

After:

type Product = {
  /** Short text shown on cards */
  title: string;
};

const card: Product = { title: "Summer Hat" };
console.log(card.title);

No issues. JSDoc holds.


But wait—here’s where it gets weird

Not everything follows clean. I ran into these corners:

  • Plain object literals with no type don’t rename across uses. This one bit me.

    Example:

    // Untyped object
    const config = {
      /** Show this many items */
      count: 10
    };
    
    // Later
    console.log(config.count);
    

    If you F2 on count in the object, VS Code treats it like a local key, not a symbol with references. It changes only that spot. The config.count use won’t update.

    Quick fix? Give it a type:

    interface Config {
      /** Show this many items */
      count: number;
    }
    
    const config: Config = { count: 10 };
    console.log(config.count);
    

    Now F2 works across the file tree, and the doc stays with count.

  • Computed names or string index tricks can be hit or miss.

    interface Bag {
      /** Unique key */
      id: string;
    }
    
    const key: keyof Bag = "id"; // this updates when I rename "id"
    const k = "id"; // this does NOT update; it’s just a string
    

    If it’s a plain string, it won’t track. I learned that the hard way during a Friday refactor. Not fun.

  • Getter/setter pairs keep the doc on the declaration you rename.

    class Box {
      /** Width in px */
      get width() { return 100; }
      set width(v: number) {}
    }
    

    If I rename width on the getter, the doc stays with the getter. That’s fine, but it surprised a teammate. We moved the doc to the class field later.


Batch renames at scale: ts-morph script

When I had to rename fields across many files in one sweep, I used ts-morph. It wraps the TypeScript API. It calls the same rename that VS Code uses. So it keeps JSDoc too. Notice the tsConfigFilePath argument in the snippet—if you’re curious about how to juggle those path parameters in tooling, I break it down in TypeScript file/path argument—my hands-on take.

My script:

// scripts/rename-field.ts
import { Project } from "ts-morph";

async function run() {
  const project = new Project({ tsConfigFilePath: "tsconfig.json" });

  // 1) Class property
  for (const sf of project.getSourceFiles()) {
    for (const cls of sf.getClasses()) {
      const prop = cls.getProperty("name");
      if (prop) {
        prop.rename("fullName");
      }
    }
  }

  // 2) Interface property
  for (const sf of project.getSourceFiles()) {
    for (const intf of sf.getInterfaces()) {
      const prop = intf.getProperty("age");
      if (prop) {
        prop.rename("years");
      }
    }
  }

  await project.save();
}

run().catch(e => {
  console.error(e);
  process.exit(1);
});

I ran it with ts-node scripts/rename-field.ts. It updated references and kept JSDoc. Clean commit. Big sigh of relief.

Tiny note: if your code has errors, the rename can skip spots. I run tsc --noEmit first.


What failed for me: raw find-and-replace

I tried a quick regex once. Bad idea. It broke comments and kept the JSDoc glued to the old key.

Here’s a small mess I made:

Before:

type Trade = {
  /** Time the trade was placed */
  placedAt: string;
};

const t: Trade = { placedAt: "2025-01-02T10:00:00Z" };
console.log(t.placedAt);

I did a simple replace of placedAt with createdAt. It hit docs and strings too.

After (oops):

type Trade = {
  /** Time the trade was createdAt */
  createdAt: string;
};

const t: Trade = { createdAt: "2025-01-02T10:00:00Z" };
console.log(t.createdAt);

The doc is now wrong. It reads weird. And if I had “placedAt” inside a URL or JSON? Yikes. I had to hand-fix lines. You know what? I never went back to that path.


Another real-world bit: destructuring holds up

I wanted to see if destructuring keeps up. It does.

Before:

interface Env {
  /** App environment label */
  label: string;
  /** Build number shown in footer */
  build: number;
}

const env: Env = { label: "prod", build: 42 };
const { label } = env;
console.log(label);

Rename label to title on the interface.

After:

“`ts
interface Env {
/** App environment label /
title: string;
/
* Build number shown in footer */
build: number;
}

const env: Env = { title: "prod", build: 42 };
const { title } = env