DEV Community: CinfiniteDev

From pnpm's Cool Feature to npm's Life jacket: The (somewhat accidental) birth of age-install

CinfiniteDev — Sat, 16 May 2026 06:41:44 +0000

From pnpm's Cool Feature to npm's Life jacket: The (somewhat accidental) birth of age-install

Or: How I built a tool nobody asked for, everyone needs, and should've made years ago

It started with a blog post (as these things do)

I was procrastinating—er, researching—when I stumbled across pnpm's release notes for version 10.16. The headline practically screamed at me:

New setting for delayed dependency updates

"Oh cool," I thought. "They added a feature."

Then I actually read the description and my brain did a little somersault.

See, supply chain attacks on npm packages have been having a moment lately. Every other week, someone's favorite utility package gets hijacked, malicious code sneaks in, and suddenly your CI server is mining cryptocurrency for some script kiddie in some place. (No offense to script kiddies everywhere. I'm sure you're very talented.)

The beautiful part? These attacks get caught fast. Like, really fast. Usually within an hour, the malicious version is gone, the maintainer is panicking on Twitter, and everyone's scrambling to update their lockfiles.

So here's the genius part: pnpm thought, "What if we just... didn't install fresh packages? Like, at all?"

Mind blown emoji

The itch (that classic developer problem)

I moved on with my day. Fixed some bugs. Went to meetings about meetings. The usual. (NO not at all , this is not a typical day for me anymore. I mean if it was really a day like that , you and i wont be having such intellectual conversations.)

But the idea wouldn't leave. Because I opened my terminal and typed:

npx pnpm install react

My fingers betrayed me. Muscle memory won. I was in an npm project, and switching package managers for one feature felt like overkill.

So I did what any reasonable developer does when they have an itch: I told myself I'd think about it tomorrow, then opened VS Code at 11 PM and started typing anyway.

Building the prototype (and discovering that everything is hard)

The concept was stupidly simple:

Take a package name
Ask npm: "Hey, when was this thing published?"
Do math: now - published = too fresh?
If too fresh: "Sorry, come back later"
If old enough: proceed with install

How hard can it be? Famous last words.

Turns out: pretty pretty .

Version ranges are chaos

Someone types npm install react@^18.0.0. What version are we actually talking about?

The registry might return 18.0.0. Or 18.1.0. Or 18.2.0. Or whatever the latest in that range is. So now we have to:

Resolve the semver range
Get the actual version number
Then check the timestamp

Great. So much for "simple."

Scoped packages will break your heart

Regex, right? Find the @, split on it, done.

Except @babel/core has an @ symbol in the middle. My first implementation thought the package was @babel and the version was core. npm's error message was less helpful than my code.

Lesson learned: when parsing scoped packages, you need to find the second @. (Who designed this syntax?)

API rate limits are real

Every package check = one npm registry call. And npm will rate limit you if you're too aggressive.

So: cache everything. Timestamps never change anyway. Once you know when lodash@4.18.1 was published, you know it forever. Just write it down.

Trust issues (the list kind)

Some packages always need the latest version. Webpack? Trust webpack. Babel? Trust babel. @types/*? Yeah, probably fine.

So exclusions had to happen. Because forcing everyone to wait for every package is how you get developers who disable the safety feature entirely.

The feature nobody asked for (but everyone desperately needs)

I showed a working prototype to a friend. Their reaction:

"Wait, this isn't built into npm? I thought this was a basic security feature by now."

And honestly? That hurt. Because they were right. This should be a default. The fact that it's not feels like a plot hole in npm's security story.

But also—validation. If a smart person like them assumed it existed, maybe other smart people did too. Maybe there was an audience for this.

Actually it exist , they introduced sometime back only , but then i thought what about POWER-USERS !

So I kept building.

What is age-install? (for the uninitiated)

age-install is a CLI tool that makes npm wait before installing fresh packages. Think of it as a bouncer for your node_modules.

# Before age-install
npm install react  # installs immediately, even if published 5 minutes ago

# After age-install
age-install install react  # checks timestamp first, blocks if too new

The default minimum age is 1440 minutes (24 hours). You can configure it to whatever paranoia level suits you.

# Default: 1440 minutes (24 hours)
age-install install react lodash

# Paranoid: 2 days
age-install install express --minimum-age 2880

# "I trust webpack but nobody else"
age-install install webpack @babel/core --exclude webpack

The check command (for the indecisive)

Ever wanted to see what's safe before committing? That's check:

age-install check react lodash express

Output:

📋 Checking 3 package(s)...

✅ Safe to install (old enough):
   - react@19.2.6 (207.8 hours old)
   - lodash@4.18.1 (1043.1 hours old)

⚠️  Too new (would be blocked):
   - express@5.0.0 (15 minutes old, min: 60 min)

⏭️  Excluded (no checks performed):
   - webpack

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Summary: 2 safe, 1 blocked, 1 excluded
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Perfect for: CI/CD pipelines, pre-commit hooks, paranoid Fridays, impressing your security team.

The JSON report (because engineers love data)

Sometimes you need to prove to someone else that you checked. Or save it for audit purposes. Or feed it into your security dashboard.

age-install check --report

Generates something like:

{
  "generated": "2026-05-15T08:30:00.000Z",
  "minimumAge": 60,
  "summary": {
    "safe": 2,
    "blocked": 1,
    "excluded": 0,
    "total": 3
  },
  "safe": [...],
  "blocked": [...],
  "excluded": [...]
}

Now you can email this to your manager, attach it to a Jira ticket, or programmatically fail your CI if anyone's feeling spicy.

Configuration options (because one size fits nobody)

Set it once, forget about it:

package.json:

{
  "ageInstall": {
    "minimumReleaseAge": 60,
    "minimumReleaseAgeExclude": ["webpack", "^@babel/", "@types/*"]
  }
}

.npmrc:

age-install.minimumReleaseAge=60
age-install.minimumReleaseAgeExclude=webpack,vite

Environment:

AGE_INSTALL_MIN_AGE=60
AGE_INSTALL_EXCLUDE=webpack,vite

Priority order: CLI flags > environment > config files > defaults.

The philosophy (getting deep for a second)

Here's the thing about supply chain attacks: most of them have the shelf life of a banana.

The malicious version goes up. Someone notices. The maintainer gets alerted. The version gets yanked. Usually within hours , sometimes an hour too.

The security here isn't in detecting the attack—it's in waiting it out.

age-install doesn't protect against sophisticated, patient attackers. It protects against the opportunistic ones—the script kiddies, the crypto-farmers, the folks who publish and pray.

For that threat model? Waiting an hour / a day , whatever works for you, is basically free insurance.

How it works (for the technically curious)

You: age-install install express@5

1. Parse: "express@5" → name="express", version="5"
2. Resolve: "5" → "5.0.0" (query npm registry)
3. Exclusion check: Is "express" in the exclusion list? No.
4. Cache check: Do we have this timestamp? No.
5. Registry query: "npm view express@5.0.0 time" → "2026-05-15T08:15:00Z"
6. Calculate: Now (08:30) - Then (08:15) = 15 minutes
7. Decision: 15 < 60. TOO NEW. BLOCKED.
8. Cache: Save timestamp for next time.

No machine learning. No threat feeds. Just timestamps and patience.

Why npm doesn't have this , .. actually they have (my conspiracy theory)

I've thought about this a lot.
They have but , but then why does age-install exist ? POWER-USERS

The future (where dreams are made)

Right now, age-install only checks packages you explicitly install. It doesn't scan transitive dependencies.

In an ideal world, we'd catch malicious packages before they enter your node_modules. But that requires parsing the entire dependency tree first—expensive and complex.

Maybe future versions. For now, direct dependency checking is better than nothing. And nothing was the alternative.

Get started (before it's too late)

npm install -g age-install

# Quick test
age-install --version

# Actually use it
npx age-install install react lodash

Or just peek at what would happen:

age-install check react lodash express


Link for reference :

https://www.npmjs.com/package/age-install

The end (but also the beginning)

I never expected building age-install to be this much learning and fun . What started as "oh that'd be cool" became a weekend project, then a serious tool, then an article you're reading right now.

Will anyone else use it? Maybe. Maybe not. But if it saves even one project from running malicious code, I'll consider it a win.

And if not? Well—I'll at least understand minimumReleaseAge better than I did yesterday. That's worth something, right?

Built by cinfinit with VS Code, zeroooo caffeine, and a healthy distrust of packages published in the last hours.

P.S. - If you found this useful, tell your friends. If you found it useless, tell your enemies. Either way, we're even.

The Story of GoBadge: How It All Started

CinfiniteDev — Wed, 13 May 2026 11:30:17 +0000

A journey from a simple idea to a badge service for modules

It Started with a Simple Problem (and a Wearing Out F5 Key)

"Why do I need a CLI tool just for live reload?"

If you're a Go developer, you know the drill. You make a change. You compile. You run. You repeat. Your F5 key is slowly giving up.

Existing solutions? They're CLI tools. External processes. Version mismatches. Config files. Zombie processes. "It works on my machine."

That's when GoWatcher was born — a library, not a CLI. Just import it, call gowatcher.Watch("."), and your app reloads itself. No external tools. No version chaos. No separate processes to babysit.

But here's the thing: once you build something useful, you want the stats.

The Second Problem: "How Many Projects Use My Module?"

You made a module , good , people are using it , good , BUT how many ?How do you check your module is creating impact ?

For npm packages, you look at downloads. For crates.io, you see downloads. For Go? There's nothing.

Shields.io has badges for everything — except Go modules.

That's when the lightbulb clicked: someone should build this.

Building the Badges

SO built the badges . get the data .. Done
Next: making them look like real badges. Done

SVG was the answer. Dynamic SVGs that:

Have the correct width based on text length
Use clipPath for rounded corners
Use linearGradient for that signature look
Cache for 1 hour (to avoid rate limits)

This First Version

The first working version had three endpoints:

/api/imports/{owner}/{module}
/api/importedby/{owner}/{module}
/api/stars/{owner}/{repo}

Drop them into markdown:

![Imported By](https://gobadge.vercel.app/api/importedby/cinfinit/gowatcher)
![Stars](https://gobadge.vercel.app/api/stars/cinfinit/gowatcher)

And it shows live data. No approximations. Just real numbers.

Why This Matters

Go is the second-largest ecosystem on GitHub. Millions of developers use it daily. But there's no easy way to show package impact.

npm has 30B+ downloads. Go has... nothing visible.

GoBadge fixes that. Now Go modules can show:

📦 How many dependencies your module has
🔗 How many projects depend on you

And the best part? GoWatcher was the first project to use these badges:

[![Go Version](https://img.shields.io/github/go-mod/go-version/cinfinit/gowatcher)](https://github.com/cinfinit/gowatcher)
[![Imported By](https://gobadge.vercel.app/api/importedby/cinfinit/gowatcher)](https://gobadge.vercel.app/)

Lessons Learned

The obvious source isn't always the right one — Go proxy had nothing useful
Data is often hidden in plain sight
APIs change, HTML break — Caching is essential
SVG gives you full control — No dependencies, just clean rendering

Requirements

Note: Your Go module must be registered at https://pkg.go.dev/ for the Imports and Imported By badges to work.

Try It Out

![Imported By](https://gobadge.vercel.app/api/importedby/gin-gonic/gin)
![Stars](https://gobadge.vercel.app/api/stars/gin-gonic/gin)

Check out these live examples:

gin-gonic/gin — 183k+ projects use it
uber-go/zap — Uber's logging library
gorilla/mux — Classic HTTP router

And of course, the project that started it all:

cinfinit/gowatcher — Because your F5 key deserves a break

GoBadge — Because every module deserves to show its impact.

gobadge.vercel.app

The Story Behind GoWatcher: A Tale of F5 Fatigue and Code Flow

CinfiniteDev — Thu, 07 May 2026 10:50:29 +0000

Soo ,

It Started With a Bug

Not a glamorous bug. Not a memory leak or a race condition. No, this was the most mundane bug of all: we forgot to restart the server after changing a handler.

Three hours wasted. Three hours of staring at the screen, questioning our sanity, questioning our code, questioning whether the universe was personally against us.

"F5! F5! F5!" we screamed at our keyboards. But nothing happened. Because we'd forgotten to restart.

The Problem No One Talks About

Here's the thing about Go development: it's fantastic. Type-safe, fast, great concurrency model. But when it comes to iteration speed? Eh.

You change code. You press Ctrl+C. You rebuild. You run. You test. Repeat.

Now, I know what you're thinking: "Just use an existing live-reload tool!" And we did! For about sometime.

But here's the thing - every time we set up a new machine, there's that moment:

"Wait, which tool are we using again?"
"Let me check the README for setup instructions."
"Why isn't this working? Oh, I need to install this first."

We're great fans of CLI tools. They do the job. But for our specific workflow, we wanted something different. So sometimes , it's custom. Something that works without much hassle , without much conversations, something that just WORKS the way it should be .

So we built GoWatcher:

It's a library, not a tool you install separately
It's in your go.mod, versioned with your code
No setup docs to read, no config files to manage
It's just... there, when you need it

The Lightbulb Moment

One night (okay, 2 AM - let's be honest), we're staring at our terminal, watching CLI crash for the third time that day, and we thought:

"What if... the app just reloaded itself?"

Not another CLI. Not another tool to install. What if it was just... a library?

A library you import. A library that's there in dev, gone in prod. A library that doesn't require a degree in .config.toml configuration to understand.

The Birth of GoWatcher

So we built it.

A simple, embeddable live-reload library. No external dependencies (well, just fsnotify - it's a good library, we're not monsters). No config files. No separate process to manage.

Just import and go.

import "github.com/cinfinit/gowatcher"

func main() {
    gowatcher.Watch(".")
    // rest of your app
}

That's it. That's the entire setup.

Why It Works (And Why You'll Love It)

Here's what we realized during this journey:

1. It's Just Code

No new tool to install on CI. No apt-get install xyz in your Dockerfile. It's a Go module. It's in your go.mod. It's versioned. It just... works.

2. Zero Prod Overhead

The magic of build tags means this code literally doesn't exist in production. Your users never know it was there. Your binaries stay lean.

3. Programmable

Want to run cleanup before reload? Add build flags? Pass args to your app? It's just code. You can do whatever you want.

4. It Just Works

No config. No .config.toml. No "make sure your ignore patterns are correct." It watches your tree, rebuilds on change, restarts. That's it.

The Real Reason We Built This

You know why we really built it?

Because we just wanted to focus on writing code, not setting up tooling.

We wanted new teammates to just... code. No "here's how you set up your environment" onboarding. No "make sure you have this tool installed" reminders. We wanted the tool to be there, already part of the project, when they clone it.

We just wanted to code.

And now we can. We write code. We save. It reloads. We test. We code more. No friction. EVEN good for AI :)

That's the dream, right?

The simplest thing is .. It just works. It's simple. It's fun.

If you've ever felt the F5 fatigue, give it a try. I promise, your F5 key will thank you.

GoWatcher: Because your time is better spent coding than pressing F5.

🔗 github.com/cinfinit/gowatcher

When a Simple Click Gets in the Way: A Tiny UX Detail That Matters

CinfiniteDev — Sat, 25 Apr 2026 05:59:38 +0000

I was browsing Flipkart the other day, doing something pretty routine—comparing products.

Nothing fancy. Just scanning titles, checking specs, trying to find the right model.

At one point, I needed the model number from a product title. The title was long, so it was truncated with an ellipsis. Fair enough—that's common.

So I clicked on it.

The full title appeared.

Good.

Then I tried to select the model number.

And it disappeared.

here's the link

product link

The small moment that turned into friction

I clicked again. It expanded.

I tried to select again.

Collapsed.

Now I'm clicking more carefully. Slower. Adjusting my mouse like I'm defusing a bomb.

Expand. Collapse. Expand. Collapse.

All I wanted was a few characters from a product title.

Instead, I found myself fighting the interface.

What's actually going on here?

At first glance, this feels like a minor annoyance. But if you zoom in, it's a collision of multiple design decisions:

The title is truncated to keep the layout clean
Clicking it expands the full text
Clicking it again collapses it
The same text is also selectable

Each of these decisions is reasonable on its own.

Together, they create friction.

The real problem: one element, multiple intentions

The title is trying to do too much.

It's acting as:

A display element (to read)
A control (to expand/collapse)
A selectable field (to interact with text)

And that's where things break.

Because user intent isn't that complicated:

Sometimes I want to read more
Sometimes I want to copy something
Sometimes I just want to scan quickly

But the interface treats all of these as the same action: click the text

That overlap creates ambiguity—and friction.

The issue isn't "temporary"—it's fragile

The expanded state doesn't disappear on its own.

It disappears because of how easy it is to accidentally trigger collapse.

And that's the real problem.

Clicking is required for both:

Expanding/collapsing
Beginning text selection

So even though the system is technically consistent (click toggles state), it conflicts with natural user behavior.

The UI isn't unstable—it's too sensitive to the same interaction users need for something else.

The bigger insight: micro-interactions can block real goals

I wasn't trying to "interact with a title."

I was trying to:

Compare products
Verify specifications
Maybe search that model elsewhere

The expanding/collapsing behavior wasn't helping me do that.

It was getting in the way.

That's the subtle danger of micro-interactions:

A tiny detail—like how text expands—can quietly block a meaningful user task.

A principle worth remembering

If there's one takeaway from this, it's this:

Don't overload a single element with multiple competing interactions.

Or even simpler:

Separate reading from acting.

Text is usually for reading (and sometimes selecting). Controls are for actions.

When one element tries to do both, users pay the price.

What could work better?

This isn't a hard problem to fix. Just a matter of being intentional.

A few better approaches:

Let the title expand on click, but don't collapse it on the same element
Add a small, clear "expand/collapse" control separate from the text
May be allow multi-line wrapping based on length instead of aggressive truncation

None of these are complex.

But they respect user intent.

Why this matters more than it seems

Moments like this don't usually make users quit instantly.

But they do something more subtle:

They introduce hesitation
They create small frustrations
They make the product feel just a little less intuitive

And over time, those small moments add up.

Final thought

Good UX isn't just about clean layouts or clever interactions.

It's about making sure nothing gets in the way of what the user came to do.

Because if a user has to fight the interface to complete a simple task—

the design, no matter how polished, is already working against them.

🗺️ Fixing Ola Web’s Cramped Map — and Why Small UX Gaps Ship to Production

CinfiniteDev — Mon, 13 Apr 2026 22:33:39 +0000

So, I was using the Ola web app recently and ran into something just… odd.

The map — arguably the most important part — was stuck in a tiny section of the screen.

No fullscreen button
No resize option
No setting to change it

Just… a constrained map UI.

🤔 The Obvious Question

Why can’t I expand this?

And more importantly:

Why do I have to wait for the app to fix it?

💡 A Simple Hack

Instead of working around the UI, I decided to override it.

I wrote a small bookmarklet that:

injects a button into the page
expands the map to full usable size
lets me toggle it back

No extensions. No installs. Just a click.

🔖 Why a Bookmarklet?

Because it’s the lowest-friction way to modify a live website:

runs instantly in the browser
no setup or permissions
works directly on the DOM

It’s essentially a tiny user-side patch.

⚙️ What It Does

Nothing complex — just direct DOM manipulation.

👉 Repo: https://github.com/cinfinit/ola-web-bookmarklet

🧠 But This Isn’t Really About the Bookmarklet

While building this, a more interesting question came up:

How do small UX gaps like this make it to production?

This isn’t a crash.

It’s not even a “bug” in the traditional sense.

It’s just… missing functionality.

⚙️ Why These Gaps Slip Through

From the outside, it’s easy to say:

“frontend should’ve fixed this”
“design missed it”
“QA didn’t catch it”

But in reality, production systems are shaped by constraints:

shipping deadlines > polish
core flows > edge usability
measurable metrics > subjective friction

If the map technically works, it ships.

Even if the experience isn’t great.

But should it be that way? We’ll get to that.

📉 The Problem with “Small” UX Issues

These issues are hard to catch because:

they don’t break anything
they don’t throw errors
they don’t trigger alerts
they rarely show up clearly in analytics

But they silently degrade the experience.

And over time, that adds up.

👀 Who Owns This?

The uncomfortable answer:

No one fully owns these gaps.

They sit in between:

design decisions
frontend implementation
product prioritization

Which makes them easy to overlook.

🛠️ How Do We Prevent This?

You can’t eliminate these issues completely — but you can reduce them.

1. Treat UX Friction as a First-Class Signal

Not everything important shows up in metrics.

watch real user sessions
collect qualitative feedback
pay attention to “annoyances,” not just failures

2. Add “UX Sanity Checks” Before Shipping

Alongside QA, ask:

“Is this actually comfortable to use?”
“Are key interactions constrained unnecessarily?”

These are simple questions, but often skipped.

3. Build Small Internal Tools

Encourage engineers to:

prototype quick fixes
experiment with UI improvements

This bookmarklet is exactly that — a lightweight experiment.

4. Close the Gap Between Design and Reality

Sometimes designs look fine, but:

screen constraints
layout nesting
real-world usage

…make them worse in practice.

Regularly test in real conditions, not just mockups.

5. Track “Minor” Issues Somewhere

Not everything deserves a sprint.

But having a place for:

small UX gaps
polish improvements

…prevents them from disappearing completely.

💡 A Different Mindset

This experience changed how I think about production apps:

The UI you see isn’t final — it’s just what shipped under constraints.

🧩 Takeaway

Not every missing feature needs a feature request.

Sometimes:

the fix is small
the impact is real
and the fastest path is doing it yourself

In this case, it was just a bookmarklet.

But yes — a production fix is a production fix.

Here's how the fix looked

🚀 Try It

If you want to try the bookmarklet:

https://github.com/cinfinit/ola-web-bookmarklet

Takes less than a minute to set up.

From Chaos to Control: Multiple Node.js Environments with Multi-Env CLI

CinfiniteDev — Wed, 25 Mar 2026 23:10:11 +0000

⚡ Multi-Env CLI

Stop juggling .env files for Node.js projects. Run multiple environments side-by-side with hot-reload support.

💡 Why Multi-Env CLI?

If you’ve ever worked on a Node.js project, you know the pain of juggling multiple environments.

For testing a feature across dev, staging, and prod, every time we needed to tweak an environment variable, we typically:

🛑 Stop the server
📄 Copy .env to .env.staging or .env.prod
🔄 Restart the app
👀 Double-check which instance was running

By the end of the day, we had three terminals open, three versions of .env floating around — it felt like manually juggling spinning plates.

💡 The Thought

There has to be a better way.

That’s how Multi-Env CLI came to life — a small CLI tool that:

🚀 Runs multiple Node.js instances at the same time
✏️ Lets you edit environment variables live without restarting
🔒 Keeps your original .env files untouched
🛠️ Makes it easy to list, kill, and manage instances

🔥 Pain Points Solved

Before Multi-Env CLI, developers often ran into:

📂 Constantly copying .env files for each environment
🔄 Restarting the server every time a variable changes
🤯 Losing track of which instance is running which environment

With Multi-Env CLI, all of that is gone:

📝 Temporary env files for each instance
⚡ Hot reload — editing the temp env automatically restarts the app
📋 Instance management — list, kill, and clean up instances safely

🛠️ Typical Workflow

Generic Multi-Env CLI Command

npx multi-env run --env-file <path-to-env-file> --cmd "<your-command>"

Run a staging instance

npx multi-env run --env-file .env.staging --cmd "node server.js" --auto-cleanup

Edit Environment Variables Live

Open .multi-env/env.temp.

Change variables and save → the app restarts automatically

Run Production Instance Simultaneously

npx multi-env run --env-file .env.prod --cmd "node server.js"

List Running Instances

npx multi-env list

Kill Any Instance When Done

npx multi-env kill --id <instance-id>

✨ Key Features

📝 Hot-editable env files — no more manual restarts
🔀 Run multiple instances side by side (dev, staging, prod)
📂 CLI-managed temp files — original .env stays safe
🛡️ Crash-safe — dead instances are cleaned automatically
⚡ Plug-and-play — works with any Node.js project

👥 Who It’s For

💻 Node.js developers running multiple environments locally
🧪 Teams testing feature flags or environment-dependent features
🚀 Anyone doing rapid prototyping, CI/CD testing, or multi-tenant apps

🚀 Getting Started

Install globally:

npm install -g multi-env-cli

Or use via npx without installing:

npx multi-env run

📂 Temp Env Files

All temp env files are stored in .multi-env/ inside your project

Original .env files are never modified

Editing temp env files triggers auto-restart for the specific instance

🏁 Ending Note

Multi-Env CLI was built to make working with multiple Node.js environments simpler, faster, and safer. No more juggling .env files, restarting servers manually, or losing track of instances.

Whether you’re testing feature flags, running dev/staging/prod side by side, or experimenting with rapid prototyping, this tool helps you stay in control — and keeps your workflow smooth and stress-free.

Give it a try, and see how much easier managing Node.js environments can be! 🚀

“Temp files are my playground — shuffle, duplicate, or vanish them without breaking a sweat.” — The Env Whisperer

npm link: https://www.npmjs.com/package/multi-env-cli

🧩 Next Component Analyzer: Stop Guessing if Your Components Should Be Server or Client

CinfiniteDev — Wed, 18 Mar 2026 08:41:28 +0000

Ever added "use client" somewhere in your Next.js app just because "it might need state" — and then wondered a week later?

"Wait… does this even need to be a client component?"

Yeah… we’ve all been there.

This is the story of Next Component Analyzer: the tool built to stop guessing and help you classify components correctly, every time.

🔍 From Developer Pain to Solution

Working with Next.js, I noticed a pattern: developers often overuse "use client". Why?

They’re not sure if a component uses state or browser APIs
They’re following a habit: “Better safe than sorry”
A missed "use client" can break hooks or event handlers

But overusing "use client" isn’t harmless — it can:

Increase bundle size
Move server-renderable components to the client unnecessarily
Make your project harder to maintain , it wont just appear like that , but it can , you never know.

Wanted a way to audit components automatically and answer the question:

“Does this component really need to be a client component?”

That’s how Next Component Analyzer was like build me .

🛠 What Next Component Analyzer Does

Next Component Analyzer is your CLI sidekick for Next.js:

Scans your entire project
Detects React hooks, browser APIs, and JSX events
Suggests whether a component should be Server or Client
Highlights unnecessary "use client" directives

It’s AST-based, so it doesn’t rely on naive string matching — no false positives here.

📊 Component Classifications

The analyzer classifies components into four meaningful categories:

Category	What it means
Client Component (correct)	Has client features and `"use client"`
Suggested: Client Component	Has client features but missing `"use client"`
Suggested: Server Component	No client features, no `"use client"`
Could be Server Component (unnecessary client)	`"use client"` is present, but no client features

⚡ Installation & CLI Usage

Run without installing:

npx next-component-analyzer

Or install globally:

npm install -g next-component-analyzer
next-component-analyzer

The CLI will scan your project and produce a classification report.

💻 Programmatic Usage

Perfect for CI pipelines, dashboards, or custom scripts:

import { analyzeProject } from "next-component-analyzer";

async function run() {
  const results = await analyzeProject();
  console.log(results);
}

run();

Example output:

[
  {
    "filePath": "app/page.tsx",
    "classification": "server",
    "detected": ["fetch"]
  },
  {
    "filePath": "components/button.tsx",
    "classification": "client",
    "detected": ["useState", "useEffect"]
  }
]

✅ Integrate results into CI checks, dashboards, or editor tools.

🌟 Why This Matters

Next Component Analyzer helps you:

Keep your Next.js apps lean
Avoid unnecessary client components
Automatically enforce component architecture rules
Reduce bugs caused by forgotten "use client" directives

It turns guesswork into data-driven decisions, saving time and improving performance.

🧠 Philosophy

Every component should answer a simple question:

“Do I actually need to be a client component?”

Next Component Analyzer gives you the answer. By analyzing hooks, browser APIs, and events, it ensures intentional "use client" usage — no more guesswork, no more cluttered client bundles.

🔗 Try It Yourself

npx next-component-analyzer

Scan your Next.js project today and see exactly which components should be server, which should be client, and which might be overdoing it.

Here's the link to package : https://www.npmjs.com/package/next-component-analyzer

🕵️‍♂️ Dependencies Should Not Be Silent: Inspect What Your npm Packages Actually Do

CinfiniteDev — Mon, 16 Mar 2026 06:49:42 +0000

SO ,

Every time you run:

npm install some-package

you are executing someone else's code on your machine.

But here’s the uncomfortable truth:

Do you really know what that code is doing?

Most don’t.

🚀 From User to Producer: How I Realized the Risk

Before I first started building npm packages, I was just a user like everyone else. Install a package, trust it works, move on.

But when you switch from user → producer, everything changes: you see how packages execute, which scripts run automatically, and the sheer power even a tiny package can hold.

Then I read about this: npm supply-chain attack happened sometime back.

A single compromised package could affect millions of machines.

💡 That’s when I thought:

“Even a small package can impact huge systems. What if we could see what it does before we install it?”

That thought sparked npm-telemetry.

⚠️ The Problem With Blind Trust

npm packages can:

🌐 Make network requests
📁 Access the file system
🔐 Read environment variables
⚙️ Spawn child processes
🧙 Execute dynamic code (eval / new Function)
📦 Run postinstall scripts

Most developers only realize this after something goes wrong. Supply-chain attacks are becoming increasingly common — and frighteningly easy.

npm-telemetry gives visibility upfront, letting you make informed decisions before installing.

🛠 Introducing npm-telemetry

npm-telemetry is a lightweight CLI and Node.js library that inspects packages and reports on their capabilities.

Think of it as a nutrition label for npm packages: you inspect, you understand, you trust consciously.

What It Detects

🌐 Network access
📁 File system read/write
🔐 Environment variable access
⚙️ Child processes
🧙 Dynamic execution (eval / new Function)
📦 Postinstall scripts

It also calculates an analysis coverage score, so you know how thoroughly the package was inspected.

🏃‍♂️ Getting Started

No global installation needed. Run:

npx npm-telemetry <package_name>

Example:

npx npm-telemetry axios

Output:

🔍 Analysis Report: axios
Permissions:
🌐 Network: YES
📁 FS Read: NO
📁 FS Write: NO
🔐 Env Access: NO
⚙️ Child Process: NO
⚠ Dynamic code execution: NO
⚠ Postinstall script: null

✅ Instantly know what the package is capable of doing.

💻 Programmatic Usage

Integrate npm-telemetry into CI pipelines, dashboards, or custom scripts.

CommonJS

const analyzePackage = require("npm-telemetry");

(async () => {
  const result = await analyzePackage("axios");
  console.log(result.coverage);
  console.log(result.report.network);
})();

ES Modules

import analyzePackage from "npm-telemetry";

const result = await analyzePackage("axios");
console.log(result.coverage);
console.log(result.report.network);

Returned object:

{
  "package": "axios",
  "coverage": 92,
  "report": {
    "fsRead": false,
    "fsWrite": false,
    "network": true,
    "env": false,
    "childProcess": false,
    "usesEval": false,
    "dynamicRequire": false,
    "postinstall": null
  }
}

🔬 How npm-telemetry Works

Under the hood:

Scans package code for sensitive APIs
Detects dynamic code (eval, new Function)
Flags postinstall scripts
Generates a coverage score

💡 No execution happens on your machine, keeping it safe.

[Package] 
    ↓
[npm-telemetry analysis] 
    ↓
[Permissions report & coverage score]

🛡 Why This Matters

npm-telemetry:

Makes dependency behavior visible
Lets developers audit packages before installing
Helps enforce security policies
Enables custom risk scoring

Not to accuse packages, but to give developers conscious control.

💡 Philosophy

Every dependency should answer one question:

“What am I doing on your system?”

npm-telemetry provides visibility, honesty, and peace of mind.

Software shouldn’t be magic — trust should never be blind.

✅ Try It Yourself

npx npm-telemetry <package_name>

Inspect any npm package before installing it — you may be surprised at what you discover.

Here's the link to package : https://www.npmjs.com/package/npm-telemetry