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What is Slurm Coding? The Intense New AI Development Pattern Beyond Vibe Coding

Cowrie
Cowrie
Dev @ Bswen

I sat down to build a simple CLI tool. Three hours later, I had a complete web application with authentication, database persistence, and a REST API.

That’s when I realized something was different about how I was working with AI coding assistants.

The Problem: Traditional Development Feels Slow Now

Last week, I needed to build a small utility. My old workflow would have been:

  1. Plan the architecture
  2. Set up the project structure
  3. Write tests
  4. Implement features incrementally
  5. Debug and refactor

That’s fine. But with Claude or Cursor, I found myself doing something much more intense. I wasn’t just “vibing” with the code. I was in a hyper-focused state, rapidly bouncing between:

  • “Add this feature”
  • “Fix that error”
  • “Now connect it to this”
  • “Add tests”
  • “Deploy it”

The feedback loop was so fast that I built something that should have taken weeks in a single afternoon.

Then I found a Reddit post that perfectly described what I was experiencing. It’s called “Slurm Coding.”

What is Slurm Coding?

Slurm coding is an intense, fast-paced development pattern where developers rapidly iterate with AI coding assistants in a continuous feedback loop. The name comes from the intense, almost frenetic energy of the process, not from the drink in Futurama (though both are addictive).

Here’s how it differs from vibe coding:

Comparison: Vibe vs Slurm
┌─────────────────┬──────────────────────┬──────────────────────┐
│ Aspect          │ Vibe Coding          │ Slurm Coding          │
├─────────────────┼──────────────────────┼──────────────────────┤
│ Energy          │ Relaxed, exploratory │ Intense, focused      │
│ Speed           │ Measured             │ Rapid-fire            │
│ Goal            │ Learn and discover   │ Build and ship        │
│ Feedback Loop   │ Minutes to hours     │ Seconds to minutes    │
│ Outcome         │ Understanding        │ Working systems       │
│ Mental State    │ Flow                 │ Hyper-focus + dopamine│
└─────────────────┴──────────────────────┴──────────────────────┘

A Typical Slurm Coding Session

Let me show you what happened when I tried to “just add user authentication”:

my_app.py
# Me: "Add user authentication with JWT"
# AI generates:


from flask import Flask, request, jsonify
from flask_jwt_extended import JWTManager, create_access_token
from werkzeug.security import generate_password_hash, check_password_hash


app = Flask(__name__)
app.config['JWT_SECRET_KEY'] = 'your-secret-key'
jwt = JWTManager(app)


users = {}


@app.route('/register', methods=['POST'])
def register():
    username = request.json.get('username')
    password = request.json.get('password')
    users[username] = generate_password_hash(password)
    return jsonify(message="User created"), 201


# ... and 30 more lines of auth code

“Great,” I thought. “Now add a database.”

models.py
# Me: "Add SQLAlchemy with User and Post models"
# AI generates:


from flask_sqlalchemy import SQLAlchemy
from datetime import datetime


db = SQLAlchemy()


class User(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    username = db.Column(db.String(80), unique=True, nullable=False)
    password_hash = db.Column(db.String(120), nullable=False)
    posts = db.relationship('Post', backref='author', lazy=True)


class Post(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    title = db.Column(db.String(100), nullable=False)
    content = db.Column(db.Text, nullable=False)
    created_at = db.Column(db.DateTime, default=datetime.utcnow)
    user_id = db.Column(db.Integer, db.ForeignKey('user.id'), nullable=False)

“Now add CRUD operations for posts.”

routes.py
# Me: "Add CRUD for posts with auth"
# AI generates complete CRUD with validation, error handling...


@app.route('/posts', methods=['POST'])
@jwt_required()
def create_post():
    current_user = get_jwt_identity()
    data = request.json
    post = Post(
        title=data['title'],
        content=data['content'],
        user_id=current_user
    )
    db.session.add(post)
    db.session.commit()
    return jsonify(post.to_dict()), 201


# ... plus GET, PUT, DELETE endpoints

“Now add pagination.”

“Now add rate limiting.”

“Now add tests.”

“Now containerize it.”

Four hours later, I had a production-ready API with:

  • JWT authentication
  • Database models
  • CRUD operations
  • Pagination
  • Rate limiting
  • Docker configuration
  • Test coverage

The scary part? I barely stopped to think. Each prompt triggered a dopamine hit when the code worked.

Why This Matters

The Reddit post that coined this term hit 380+ upvotes with 134 comments. The top comment was “I feel targeted by this post” with 141 upvotes.

This isn’t just about productivity. It’s about a fundamental shift in how we build software:

  1. Idea-to-implementation is now minutes, not days: You can test ideas faster than ever
  2. The bottleneck has shifted: It’s no longer typing speed or API knowledge. It’s decision fatigue and scope creep
  3. Quality risks increase: Speed can mask technical debt. You need discipline to slow down and review
  4. Junior developers face new challenges: They might ship code they don’t fully understand

Common Mistakes (That I Made)

Mistake 1: Not Understanding What You Ship

I once deployed a feature I didn’t understand. It worked, but when it broke in production, I had no idea how to fix it.

Fix: Always read and understand the code before committing. Use AI to explain the code it generated.

Mistake 2: Scope Creep on Steroids

With vibe coding, you naturally limit scope because implementation takes effort. With Slurm coding, adding features is so easy that you keep adding more.

scope-creep.txt
Original goal: "Build a simple todo app"


After 2 hours of Slurm coding:
- Authentication (OAuth2, JWT)
- Real-time sync (WebSockets)
- Mobile app (React Native)
- AI suggestions (OpenAI API)
- Analytics dashboard
- Dark mode
- Offline support
- PWA features
- And still no core todo functionality done well...

Fix: Write down your scope before starting. Check it every 30 minutes.

Mistake 3: Skipping Tests Because “It Works”

When AI generates working code instantly, it’s tempting to skip tests.

Fix: Force yourself to ask for tests. Or use TDD by asking for tests first.

Mistake 4: Not Reviewing Generated Code

AI makes mistakes. It introduces subtle bugs, security issues, and anti-patterns.

Fix: Use code review agents or manually review before each commit.

The Dopamine Loop

Here’s what happens in your brain during a Slurm coding session:

dopamine-loop.txt
┌─────────────────────────────────────────────────────────────┐
│                     THE SLURM LOOP                          │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│   Idea ──> Prompt AI ──> Code Generated ──> It Works! ──┐  │
│      ▲                                                   │  │
│      │                                                   │  │
│      └──────── Dopamine Hit ◄────────────────────────────┘  │
│                                                             │
│   Each iteration takes 30 seconds to 5 minutes              │
│   Each success triggers reward response                     │
│   Before you know it, 4 hours have passed                   │
│                                                             │
└─────────────────────────────────────────────────────────────┘

This is why Slurm coding is both powerful and dangerous. It hijacks the same reward mechanisms as social media or gaming.

When to Use Slurm Coding

Good for:

  • Prototyping and MVPs
  • Learning new technologies
  • Hackathons and time-boxed experiments
  • Generating boilerplate code
  • Exploring solution spaces

Avoid for:

  • Production-critical systems (without thorough review)
  • Security-sensitive code
  • When you’re sleep-deprived (trust me)
  • When you need to deeply understand the domain

The Verdict

Slurm coding isn’t inherently good or bad. It’s a new capability that requires new discipline.

The key is recognizing when you’re in a Slurm session and consciously deciding:

  1. Is this the right approach for this task?
  2. Am I understanding what I’m building?
  3. Should I slow down and review?

I still Slurm code. But now I set timers, define scope upfront, and force myself to review before deploying.

The speed is addictive. The results are impressive. But like any powerful tool, it requires responsible use.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

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