YK Sugi

10 commandments for vibe coding

Is 'vibe coding' with AI just a recipe for disaster? Discover ten commandments that make it a production-ready methodology.

10 commandments for vibe coding
#1about 1 minute

Defining vibe coding beyond just using AI

Vibe coding is distinguished from methodical AI use by not checking every single line of generated code, making it a production-ready practice.

#2about 1 minute

Why junior developers should use AI cautiously

Junior developers, or anyone new to a specific tech stack, should use AI for fundamental questions to avoid making costly early mistakes.

#3about 1 minute

Breaking down large problems for AI to solve

Deconstruct large projects or bug fixes into smaller, manageable pieces that AI can successfully handle in a single attempt.

#4about 2 minutes

Using tests to manage AI-generated code and bugs

Writing comprehensive tests, even with AI, narrows the solution space for bug fixes and turns test suites into a valuable asset.

#5about 1 minute

Maintaining codebase hygiene with small, organized files

Keep individual files under 400 lines and maintain a well-structured codebase to help both humans and AI navigate the project effectively.

#6about 3 minutes

Avoiding tech debt with careful architectural decisions

Move slowly on foundational architectural choices, like selecting a framework, to prevent accumulating technical debt that slows down future development.

#7about 1 minute

Providing minimal yet sufficient context to the AI

Feed the AI relevant context, like documentation for new APIs, but keep it minimal to avoid overwhelming the model and ensure efficient processing.

#8about 1 minute

The shift towards agentic AI in software engineering

The future of coding involves agentic AI that can take autonomous actions like fetching URLs or searching a codebase on your behalf.

#9about 1 minute

Using containerized environments for multiple AI agents

Provide a containerized or VM-based development environment to enable scaling up to hundreds of AI agents working in parallel on isolated tasks.

#10about 1 minute

How technical expertise maximizes AI coding value

While non-technical users can create initial value with AI, a skilled engineer following best practices can sustain and grow that value over time.

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