Vibe Coding Project Management: Dont Let Your Codebase Become a Mess
I tested this.
How do you manage an AI-built project?
Manage AI projects like you manage a team of junior developers. Set architecture rules in .cursorrules before writing code. Use consistent patterns enforced by linters. Review every AI-generated PR. The most important rule: define error handling format, naming conventions, and file structure before the AI writes a single line.
What structure prevents AI code chaos?
Structure: /core directory for hand-written code (auth, payments, security). /features directory for AI-generated code (CRUD, UI, API routes). The /core code is reviewed strictly. The /features code can ship faster. This separation prevents AI from touching sensitive code.
How often should you refactor?
Refactor every 2-4 weeks. AI code accumulates technical debt faster than human code. Schedule regular refactoring sessions. I spend one weekend per month fixing AI-generated issues: inconsistent patterns, missing error handling, unnecessary dependencies. This keeps the codebase maintainable.
Set rules before AI writes code. Separate /core (hand-written) from /features (AI-generated). Refactor every 2-4 weeks. AI code accumulates technical debt faster.
The “ship fast, fix later” approach does not work with AI code. AI code is already lower quality than human code. Shipping fast without review produces unmaintainable code that takes longer to fix than rewrite. Plan for refactoring from day one. Budget one weekend per month for maintenance.
Give me steps and mistakes.
AI tools are powerful but require human judgment. Review every output before merging. Test every feature with edge cases. Never trust AI code in production without verification. These habits prevent production incidents. The extra minutes spent on review pay for themselves many times over in prevented issues and cleaner codebases that are easier to maintain long term.
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