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AI SaaS MVP: Pre-Seed
AI-generated code stabilization: duplication, prompt leakage, and flaky tests. Risk map plus refactor list. Estimated 2-3 days saved per sprint.
TypeScriptNext.jsCursorOpenAI
Problem
A pre-seed B2B SaaS built rapidly with Cursor had massive duplication (40+ API handlers), shared prompts in client code exposing API keys, and no centralized tests. Devs were afraid to touch core modules. Every change risked regressions.
Intervention
We ran an AI prototype code audit: risk map with 12 high-priority items, refactor list with effort estimates, prompt centralization plan. Delivered a cleanup roadmap the team could execute or hand off for stabilization.
Results
- -60% duplication in target modules
- Prompt leakage removed
- Estimated 2-3 days saved per sprint