AI Integration and Vibe Coding Rescue
Production grade AI features, vector search, LLM cost control, and rescue work on AI generated codebases.
53 posts · page 3 of 3
- AI Integration and Vibe Coding Rescue
The Prompt as a Spec: How to Build Software With AI Tools Responsibly
Teams that get consistent results from AI coding tools treat the prompt like a specification document. Teams that get inconsistent results treat it like a search query. The difference is in the discipline, not the tool.
11 min read
- AI Integration and Vibe Coding Rescue
The Founder Who Vibe Coded Their MVP: A Postmortem and Rescue Plan
What happens when founders build an MVP with AI assistants without engineering oversight -- and the practical steps to rescue the resulting codebase.
12 min read
- AI Integration and Vibe Coding Rescue
When AI Code Generation Stops Saving You Time and Starts Costing You
AI code generation has a break-even point. Past it, the debugging time, the structural debt, and the context loss start outweighing the speed gains. Knowing where that line is changes how you use the tools.
12 min read
- AI Integration and Vibe Coding Rescue
Vibe Coding Rescue: How to Take Over a Codebase Written by ChatGPT
Most AI generated codebases are not unworkable. They just have patterns that degrade fast under real usage. The rescue process is methodical, not heroic, and it starts with understanding what the AI was optimizing for.
12 min read
- AI Integration and Vibe Coding Rescue
The Last 20 Percent: Why Your AI Generated SaaS Fails at Stripe and Security
AI code generation handles the easy 80 percent. The last 20 -- payments, auth, and security -- is where generated SaaS products silently fail.
12 min read
More than blog posts.
The Labs folder has the experiments themselves. The Systems folder has the stack and architecture. The Journey folder has the timeline. Pick whichever pulls you.