DEV Community: Meheer Khan

Bun vs npm: A Modern Take on JavaScript Package Management 🐰 vs 📦

Meheer Khan — Fri, 26 Dec 2025 13:52:07 +0000

Let's be honest. How many times have you cloned a repo, run npm install, and then gone to grab a coffee or scroll through Twitter because you knew it would take a while?

We've all been there. npm has been the trusty workhorse of JavaScript for years. But lately, a new tool named Bun has been showing up in everyone's feed, claiming to be lightning fast.

Is it just hype? Or is it actually time to switch?

I decided to pit them against each other in a real-world scenario. Here is what every developer needs to know.

1. The Setup: Installing Dependencies

This is the most noticeable difference. npm relies on Node.js, which is single-threaded. Bun is written in Zig (a low-level language) and is designed to be incredibly fast.

The Scenario

You just cloned a React project. It has 1,500 dependencies.

Using npm:

$ npm install
# ... [spinning cursor of doom] ...
# added 1560 packages, and audited 1561 packages in 42s

Result: 42 seconds. You had time to check your Slack messages.

Using Bun:

$ bun install
# + react@18.2.0
# + lodash@4.17.21
# ... [instant scrolling text] ...
# 1560 packages installed [1.34s]

Result: 1.3 seconds. You didn't even have time to put the coffee mug down.

Why does this matter?

Bun uses a global cache on your machine. If you install react in one project, and then install it in another, Bun doesn't download it again. It just links it. It’s like having a shared LEGO bucket instead of buying a new box every time.

2. Running Scripts: The "Drop-in" Replacement

The best part about Bun? You don't have to change your workflow. You can keep your package.json exactly as it is.

package.json:

{
  "scripts": {
    "dev": "vite",
    "build": "vite build"
  }
}

Using npm:

npm run dev
> vite
  VITE v4.0.0  ready in 450 ms

Using Bun:

bun run dev
> vite
  VITE v4.0.0  ready in 120 ms

Bun replaces the node executable. When you run bun run dev, it's executing the scripts faster than Node would, often without you needing to change a single line of code.

3. TypeScript without the Config Drama

This is where Bun starts to feel like magic.

If you use npm, you usually need a build step (like tsc or esbuild) or a runtime loader to run TypeScript files directly. You can't just run node app.ts.

Bun runs TypeScript natively.

Imagine you have a simple server file:

// server.ts
console.log("Hello, World!");
const server = Bun.serve({
  port: 3000,
  fetch(req) {
    return new Response("Hello from Bun!");
  },
});

How you run it with npm/Node:

# This usually fails unless you use ts-node
npx ts-node server.ts
# OR you have to build it first
npm run build
node dist/server.js

How you run it with Bun:

bun server.ts

That's it. It reads the TypeScript and executes it instantly. No compilation step, no config files. It just works.

4. The "All-in-One" Toolbelt

With npm, your package.json "devDependencies" section is usually huge. You install separate tools for everything:

jest for testing
webpack or vite for bundling
tsc for types
nodemon for watching files

Bun aims to replace all of them.

Example: Testing

With npm (Jest):

Install jest: npm i -D jest
Add config to package.json
Run: npm test

With Bun:

Write a test in test.test.ts
Run: bun test

$ bun test
test.test.ts:
✓ add [2.14ms]
✓ multiply [0.05ms]

 2 pass
 0 fail

It has a test runner built right in. That's fewer packages to download and fewer security vulnerabilities to worry about.

The Verdict: Should You Switch?

Stick with npm if:

You are working on a massive enterprise app with 5 years of legacy scripts.
You rely on complex native modules (C++ bindings) that might break in Bun.
"If it ain't broke, don't fix it."

Switch to Bun if:

You are starting a new project.
You value speed (time is money, right?).
You are tired of managing 50 different devDependencies just to get a "Hello World" running.

My Take

I'm currently running Bun on all my personal projects. The speed difference is not a marketing gimmick; it genuinely makes coding more enjoyable. However, I still keep npm (and nvm) installed for production debugging and legacy client work.

The ecosystem is moving fast. Don't be surprised if in two years, Bun becomes the default choice for new JavaScript developers.

What do you think? Are you team 🐰 or team 📦? Let me know in the comments!

Unlocking Speed: Parallel & Distributed Algorithms for Modern Hardware

Meheer Khan — Thu, 07 Aug 2025 07:04:07 +0000

Moore's Law is dead. Your code isn't getting faster by itself. Here's how to fix it.

The Multi-Core Revolution: Why Your Code is Stuck in the Past

Remember when computers doubled in speed every 18 months? Those days are over. Clock speeds have stagnated, but core counts have exploded:

Your laptop has 8-16 cores
A single GPU has 10,000+ cores
Data centers run clusters with 100,000+ cores

Yet most code still runs sequentially. We're leaving 95% of our hardware's potential unused. The solution? Parallel & distributed algorithms.

"The free lunch is over. Now you need to write concurrent code." - Herb Sutter

Part 1: Parallel Algorithms - Taming Multi-Core Beasts

1. Parallel Sorting: Beyond Quicksort
Traditional quicksort is O(n log n) but sequential. Let's parallelize it:

# Python with multiprocessing
import numpy as np
from multiprocessing import Pool

def parallel_sort(data, chunks=4):
    chunk_size = len(data) // chunks
    chunks = [data[i:i+chunk_size] for i in range(0, len(data), chunk_size)]

    with Pool(chunks) as p:
        sorted_chunks = p.map(sorted, chunks)

    # Merge sorted chunks
    return sorted(np.concatenate(sorted_chunks))

# Benchmark: 1M elements
data = np.random.randint(0, 1_000_000, 1_000_000)
%timeit sorted(data)           # 120ms (sequential)
%timeit parallel_sort(data)    # 35ms (4 cores)

Result: 3.4x speedup with minimal code changes!

2. GPU-Powered Parallel Reduction
For massive datasets, GPUs are game-changers. Here's a parallel sum using CUDA:

// CUDA C++ kernel for parallel reduction
__global__ void sum_reduction(float* input, float* output, int n) {
    extern __shared__ float sdata[];

    int tid = threadIdx.x;
    int i = blockIdx.x * blockDim.x + threadIdx.x;

    sdata[tid] = (i < n) ? input[i] : 0;
    __syncthreads();

    // Parallel reduction in shared memory
    for (int s = blockDim.x/2; s > 0; s >>= 1) {
        if (tid < s) {
            sdata[tid] += sdata[tid + s];
        }
        __syncthreads();
    }

    if (tid == 0) output[blockIdx.x] = sdata[0];
}

Performance: 1000x speedup for billion-element arrays on an NVIDIA H100!

Part 2: Distributed Algorithms - Scaling Beyond One Machine

1. Consensus Algorithms: Raft in Action
How do distributed systems agree on things? Meet Raft - simpler than Paxos:

# Simplified Raft implementation (Python)
class RaftNode:
    def __init__(self, node_id):
        self.id = node_id
        self.term = 0
        self.voted_for = None
        self.log = []
        self.commit_index = 0

    def request_vote(self, candidate_id, term, last_log_index, last_log_term):
        # Grant vote if candidate's log is at least as up-to-date
        if term > self.term or (term == self.term and self.voted_for is None):
            if last_log_term > self.get_last_log_term() or \
               (last_log_term == self.get_last_log_term() and last_log_index >= len(self.log)):
                self.voted_for = candidate_id
                return True
        return False

Real-world use: etcd, Consul, and CockroachDB use Raft for distributed consensus.

2. Distributed Graph Processing with Pregel
Google's Pregel model processes graphs across clusters:

// Pregel-style vertex computation (Java)
public class PageRankVertex extends Vertex<Double, Double, Double> {
    public void compute(Iterable<Double> messages) {
        if (getSuperstep() == 0) {
            setValue(1.0 / getTotalNumVertices());
        } else {
            double sum = 0;
            for (Double msg : messages) {
                sum += msg;
            }
            setValue(0.15 / getTotalNumVertices() + 0.85 * sum);
        }

        if (getSuperstep() < 30) {
            sendMessageToAllEdges(getValue() / getNumEdges());
        } else {
            voteToHalt();
        }
    }
}

Scale: Processes trillion-edge graphs (like the web) in minutes.

Part 3: Lock-Free Data Structures - The Secret to Extreme Performance

Lock-Free Queues: The Michael-Scott Algorithm
Traditional locks cause contention. Lock-free structures use atomic operations:

// C++ lock-free queue (simplified)
template<typename T>
class LockFreeQueue {
private:
    struct Node {
        T data;
        Node* next;
    };

    std::atomic<Node*> head;
    std::atomic<Node*> tail;

public:
    void enqueue(T value) {
        Node* newNode = new Node{value, nullptr};
        Node* oldTail = tail.load();

        // Link new node atomically
        while (!tail.compare_exchange_weak(oldTail, newNode)) {
            oldTail = tail.load();
        }
        oldTail->next = newNode;
    }
};

Performance: 10M+ operations/second in high-frequency trading systems.

Part 4: Tools & Libraries - Your Parallel Toolkit

Table: Popular tools for parallel and distributed computing

Tool	Best For	Language Support
Rayon	CPU parallelism	Rust
CUDA	GPU computing	C++, Python
Apache Spark	Distributed data processing	Scala, Python, R
OpenMP	Multi-core parallelism	C, C++, Fortran
Dask	Parallel Python	Python
MPI	HPC distributed computing	C, Fortran

💡 Pro Tip: Start with Rust's Rayon for easy CPU parallelism - it's as simple as replacing .iter() with .par_iter()!

Quick Start with Rust's Rayon:

use rayon::prelude::*;

fn main() {
    let data: Vec<i32> = (0..1_000_000).collect();

    // Parallel map and reduce
    let sum_squares: i32 = data.par_iter()
        .map(|&x| x * x)
        .sum();

    println!("Sum of squares: {}", sum_squares);
}

Result: Automatic parallelization with 1 line of code!

Real-World Impact: Where These Algorithms Shine

1. High-Frequency Trading
Lock-free queues process 10M+ orders/second with microsecond latency.

2. Weather Forecasting
Distributed climate models run on 100,000+ cores (NOAA's GFS).

3. AI Training
Parallel backpropagation across 1000s of GPUs (GPT-4 trained on 25,000 A100s).

4. Search Engines
Distributed graph processing for web ranking (Google's Pregel).

The Future: Quantum & Beyond

The next frontier is quantum parallelism:

Shor's algorithm factors integers exponentially faster
Quantum simulation requires new distributed models
Hybrid quantum-classical algorithms are emerging

Get Started Today

1. Try Rayon in Rust: Add rayon = "1.8" to Cargo.toml

2. Experiment with Spark: Run locally with pyspark

3. Learn CUDA: NVIDIA's free courses on Udacity

Read "The Art of Multiprocessor Programming"

"Parallel computing is the future. Every developer needs to think in parallel." - Tim Sweeney (Epic Games)

Recommended Reading

What parallel computing challenges have you faced? Share your experiences in the comments!

Git for Beginners – A Visual Introduction

Meheer Khan — Fri, 01 Aug 2025 06:32:59 +0000

Ever lost hours of work? Struggled to collaborate on code? Felt terrified by the git command line? Git is your superhero sidekick! It tracks changes, enables collaboration, and lets you experiment safely. This guide makes it visual and simple.

By the end, you'll understand Git's core workflow visually and be ready to use it confidently.

What is Git?

Git is a Version Control System (VCS). Think of it like "Google Docs for Code" but way more powerful and flexible.

Key Benefits:

Time Machine: Save every version of your project. Go back in time instantly.
Teamwork Made Easy: Multiple people work on the same project without overwriting each other.
Experiment Safely: Try wild new ideas in a "sandbox" without breaking your main project.
Backup: Your project history is safely stored (locally & often remotely).

Visual: Git as a Time Machine

[Project Timeline:
┌──────┐       ┌──────┐       ┌──────┐       ┌──────┐
│Init  │──────>│Add   │──────>│Style │──────>│Fix   │
│      │       │HTML  │       │CSS   │       │Bug   │
└──┬───┘       └──┬───┘       └──┬───┘       └──┬───┘
   │              │              │              │
   │ a1b2c3d      │ e4f5g6h      │ i7j8k9l      │ m0n1o2p
   │              │              │              │
   ▼              ▼              ▼              ▼
[Start] ─────────> [Page] ───────> [Styled] ────> [Fixed]]

The Core Concepts: The Three States

Git has three main areas where your files live. Understanding this flow is the key to mastering Git.

Visual: The Three States of Git

[┌───────────────────┐      git add      ┌─────────────────┐      git commit      ┌─────────────────────┐
│                   │ ─────────────────> │                 │ ─────────────────> │                     │
│  Working          │                    │   Staging       │                    │  Local Repository  │
│  Directory        │                    │   Area          │                    │  (.git folder)     │
│  (Your project    │ <───────────────── │                 │ <───────────────── │  (Database of      │
│   folder)         │      git reset     │                 │      git checkout   │   snapshots)        │
│                   │                    │                 │                    │                     │
└───────────────────┘                    └─────────────────┘                    └─────────────────────┘
      ▲                                          ▲                                      ▲
      │                                          │                                      │
      │ git status                               │ git diff --staged                   │ git log
      │ git diff                                 │                                      │
      └──────────────────────────────────────────┴──────────────────────────────────────┘]

Working Directory Your project folder on your computer. This is where you edit files.
Staging Area A "holding area" where you pick which changes to save next. Think of it as a checklist of changes for your next commit.
Local Repository The hidden .git folder storing all your committed snapshots. This is Git's database.

The Essential Workflow (Step-by-Step with Visuals)
Let's create a simple "Hello World" project to see Git in action.

Step 0: Setup

First, install Git and configure your identity:

# Install Git (https://git-scm.com/downloads)
# Configure your identity
git config --global user.name "Your Name"
git config --global user.email "you@sample.com"
# Initialize a new repository
git init

The hidden .git folder appears in your project directory.

Step 1: Make Changes

Create index.html with:

<h1>Hello World!</h1>

Step 2: Check Status

git status

output:

Untracked files:
  (use "git add <file>..." to include in what will be committed)
        index.html

Step 3: Stage Changes

git add index.html

Now check status again:

git status

output:

Changes to be committed:
  (use "git restore --staged <file>..." to unstage)
        new file:   index.html

Visual :

[┌───────────────────┐                    ┌─────────────────┐
│  Working          │                    │   Staging       │
│  Directory        │                    │   Area          │
│                   │                    │                 │
│  ┌─────────────┐  │                    │                 │
│  │ index.html  │  │                    │                 │
│  └─────────────┘  │                    │                 │
│                   │                    │                 │
└─────────┬─────────┘                    └─────────────────┘
          │
          │ git add index.html
          │
          ▼
┌─────────────────┐
│   Staging       │
│   Area          │
│                 │
│  ┌─────────────┐│
│  │ index.html  ││
│  └─────────────┘│
│                 │
└─────────────────┘]

Step 4: Commit Changes

git commit -m "Add initial HTML structure"

Visual :

[┌─────────────────┐                    ┌─────────────────────┐
│   Staging       │                    │  Local Repository   │
│   Area          │                    │  (.git folder)      │
│                 │                    │                     │
│  ┌─────────────┐│                    │  ┌─────────────┐    │
│  │ index.html  ││                    │  │ Commit:     │    │
│  └─────────────┘│                    │  │ a1b2c3d     │    │
│                 │                    │  │ ┌─────────┐ │    │
└────────┬────────┘                    │  │ │index.htm│ │    │
         │                             │  │ │l        │ │    │
         │ git commit -m "..."         │  │ └─────────┘ │    │
         │                             │  └─────────────┘    │
         ▼                             └─────────────────────┘]

Step 5: Make More Changes & Repeat

Step 6: Viewing History

git log --oneline

Output:

m0n1o2p (HEAD -> main) Update greeting
a1b2c3d Add initial HTML structure

Undoing Mistakes (Safety Nets)

Unstage Changes

git reset HEAD index.html

Visual :

[┌─────────────────┐                    ┌───────────────────┐
│   Staging       │                    │  Working          │
│   Area          │                    │  Directory       │
│                 │                    │                  │
│  ┌─────────────┐│                    │                  │
│  │ index.html  ││                    │                  │
│  └─────────────┘│                    │                  │
│                 │                    │                  │
└────────┬────────┘                    └───────────────────┘
         │
         │ git reset HEAD index.html
         │
         ▼
┌───────────────────┐
│  Working          │
│  Directory        │
│                  │
│  ┌─────────────┐  │
│  │ index.html  │  │
│  └─────────────┘  │
│                  │
└───────────────────┘]

Discard Working Directory Changes

git checkout -- index.html

Warning : This deletes your uncommitted changes! Use carefully.

Visual :

[┌─────────────────────┐                    ┌───────────────────┐
│  Local Repository   │                    │  Working          │
│  (.git folder)      │                    │  Directory        │
│                     │                    │                   │
│  ┌─────────────┐    │                    │  ┌─────────────┐  │
│  │ Commit:     │    │                    │  │ index.html  │  │
│  │ a1b2c3d     │    │                    │  │ (modified) │  │
│  │ ┌─────────┐ │    │                    │  └─────────────┘  │
│  │ │index.htm│ │    │                    │                   │
│  │ │l        │ │    │                    │                   │
│  │ └─────────┘ │    │                    │                   │
│  └─────────────┘    │                    │                   │
└─────────┬───────────┘                    └───────────────────┘
          │
          │ git checkout -- index.html
          │
          ▼
┌───────────────────┐
│  Working          │
│  Directory        │
│                   │
│  ┌─────────────┐  │
│  │ index.html  │  │
│  │ (original)  │  │
│  └─────────────┘  │
│                   │
└───────────────────┘]

Amend Your Last Commmit

git commit --amend -m "Better commit message"

Visual :

[Before Amend:
┌──────┐       ┌──────┐
│  A   │──────>│  B   │
└──────┘       └──────┘

After Amend:
┌──────┐       ┌──────┐
│  A   │──────>│  B'  │
└──────┘       └──────┘

          │
          │ git commit --amend
          ▼]

Branching: The Real Power

What is a Branch?
A branch is an independent line of development. Think of it as a parallel universe for your code.

Why Branch?
Isolate new features, bug fixes, or experiments without touching the stable main code.

Visual: Branching Workflow

[          main:    ●────●────●────●────●
                   │         \
                   │          \
                   │           \
                   │            ●────●   feature-x
                   │            │    │
                   │            │    │
                   │            ▼    ▼
                   │         [Design] [Implement]
                   │
                   ▼
                [Stable]]

After Merging:

[          main:    ●────●────●────●────●────●────●
                   │         \         /
                   │          \       /
                   │           ●────●
                   │           │    │
                   │           ▼    ▼
                   │        [Design] [Implement]
                   │
                   ▼
                [Stable + Feature]]

Branching Commands

# Create a new branch
git branch feature-x

# Switch to the new branch
git checkout feature-x

# Make changes, add, commit...
# (work happens on feature-x)

# Switch back to main
git checkout main

# Merge feature-x into main
git merge feature-x

# Delete the merged branch
git branch -d feature-x

Remote Repositories (GitHub/GitLab)

What?
A copy of your repository hosted online (e.g., on GitHub).
Why?
Backup, collaboration, sharing.

Visual: Remote Repository Interaction

[┌──────────────────────┐          ┌──────────────────────┐
│                      │          │                      │
│   Local Repository   │          │   Remote Repository  │
│   (Your Computer)    │          │   (GitHub/GitLab)    │
│                      │          │                      │
│  ┌─────────────────┐ │          │ ┌─────────────────┐  │
│  │ main            │ │          │ │ origin/main     │  │
│  │ ●───●───●       │ │          │ │ ●───●───●       │  │
│  └─────────────────┘ │          │ └─────────────────┘  │
│                      │          │                      │
│  ┌─────────────────┐ │          │ ┌─────────────────┐  │
│  │ feature-x       │ │          │ │ origin/feature-x│  │
│  │         ●───●   │ │          │ │         ●───●   │  │
│  └─────────────────┘ │          │ └─────────────────┘  │
│                      │          │                      │
└──────────┬───────────┘          └──────────┬───────────┘
           │                                  │
           │ git push                         │ git pull
           │                                  │
           ▼                                  ▼
    [Upload changes]                 [Download changes]]

Remote Commands

# Link local repo to remote
git remote add origin https://github.com/username/repo.git

# Send commits to remote
git push -u origin main

# Get changes from remote
git pull origin main

Common Pitfalls & Tips for Beginners

Git Command Cheat Sheet

[┌─────────────────────────────────────────────────────────────┐
│                    GIT COMMAND CHEAT SHEET                  │
├─────────────────────────────────────────────────────────────┤
│ SETUP                                                        │
│ git init          → Start new repo                          │
│ git clone <url>   → Download existing repo                   │
├─────────────────────────────────────────────────────────────┤
│ DAILY WORKFLOW                                               │
│ git status        → Check file state                        │
│ git add <file>    → Stage changes                           │
│ git commit -m "msg"→ Save changes                           │
│ git log --oneline→ View history                            │
├─────────────────────────────────────────────────────────────┤
│ BRANCHING                                                    │
│ git branch        → List branches                           │
│ git checkout <b>  → Switch branch                           │
│ git merge <b>     → Combine branches                        │
├─────────────────────────────────────────────────────────────┤
│ REMOTES                                                      │
│ git push          → Send to remote                          │
│ git pull          │ Get from remote                         │
└─────────────────────────────────────────────────────────────┘]

Key Tips:

Pitfall: Committing too much at once. Tip: Make small, frequent commits with clear messages.
Pitfall: Ignoring git status. Tip: Run git status often! It's your best friend.
Pitfall: Forgetting to add before commit. Tip: Check git status to see what's staged.
Pitfall: Fear of breaking things. Tip: Git is designed to be safe! Experiment on branches.

Conclusion & Next Steps

You now understand Git's core: The Three States, the basic workflow (add, commit), branching, and remotes – all visually!

Git seems complex at first, but with practice, it becomes second nature. Don't be afraid to experiment!

Your Next Steps:

Practice: Open a terminal, create a new folder, run git init, and try the workflow yourself!
Explore: Sign up for GitHub/GitLab, create your first remote repo, and try push/pull.
Learn More:
Learn Git Branching
- Interactive browser-based tutorial
- Visual way to learn Git branching
- No installation required

Pro Git Book
- Free comprehensive guide
- Written by Git experts
- Available in multiple languages
Engage: Stuck? Have questions? Leave a comment below!