If you build with AI assistants: would you pay for repo audits + vetted devs to fix what AI misses?
I’m building fixAICode because we keep seeing the same pattern in AI-assisted codebases: things look fine until you hit production. The common failures are missing edge cases, inconsistent architecture, security risks, code smell, and performance regressions.
fixAICode does: • AI analysis of your GitHub repo into a report • Optional tasks you can assign to vetted developers to fix issues the right way
We’re in beta. First analysis is $5.
I’m looking for feedback from people who rely on AI tools: • What would make an audit report actually useful to you • What would you want included so you trust it • Would you prefer copy-paste summaries for your AI agent, or direct human fixes, or both • What would stop you from connecting a repo
Happy to answer questions and take feature requests.
Posted Dec 4, 2025, 9:51 PM UTC