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AI code auditor that only finds bugs, does not fix them

A constrained AI system designed solely to audit code for bugs, without attempting to fix them. It uses a custom architecture to force the LLM into a pure auditing role, tested on GitHub repos like Monica and Economizer, finding all known critical errors and some previously missed ones. Aimed at side project developers needing thorough code review.

3 engagement·1 source·Sun, Jul 12, 2026, 11:39 PM
The creator designed a 'constraint architecture' that restricts the AI to only auditing code—it cannot generate fixes or be 'helpful' beyond finding bugs. Tested on code repositories from GitHub (Monica, Economizer), it identified all known critical errors and some missed ones, with no false positives reported. The project is currently seeking existing projects to test on. No tech stack or URL provided.

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Git-aware AI debugger that checks out old commits to fix production bugs

A tool that makes AI coding assistants (like Cursor or Claude Code) automatically checkout the git commit corresponding to a production error before debugging, preventing the agent from analyzing current code that has shifted. It solves the problem of AI agents hallucinating fixes because they look at the present state of files while the bug existed in a past commit.

5 engagement·2 sources·reddit
ProductSun, Jul 12, 2026, 10:32 PM

UI/UX audit tool that generates an AUDIT.md file for AI

A tool that audits the UI/UX of a website and produces an AUDIT.md file, designed to help developers and designers get actionable feedback in a format that AI tools can process. It solves the problem of manual UI/UX review by automating the audit and outputting structured markdown.

1 engagement·1 source·reddit
ProductSun, Jul 12, 2026, 03:22 PM

CodeInspectus: open-source security scanner for AI-generated code

CodeInspectus is a fully open-source, local security scanner that checks AI-generated code for vulnerabilities. It covers 32 checks (13 AI-specific + 19 SAST) and 200+ secret/API-key patterns, catching issues like hardcoded secrets in client-side code, exposed API keys, and insecure RLS policies. It helps developers secure projects built with LLM-generated code.

1 engagement·1 source·reddit
ProductSun, Jul 12, 2026, 10:22 AM

Structurally enforced Clean Architecture for LLM-driven development

A framework that makes Clean Architecture's dependency rule structurally unbreakable, similar to OS kernel isolation. It ensures that code layers cannot violate inward-only dependencies at compile time, which is particularly useful for LLM-generated code where conventional review may be unreliable. Targets developers using LLMs to generate or modify codebases.

3 engagement·1 source·reddit
ProductSun, Jul 12, 2026, 08:46 PM

AI-powered tool that auto-generates and syncs code documentation from code changes

A tool that automatically generates and updates documentation by analyzing code changes, ensuring docs always match the actual codebase. It uses LLMs to detect discrepancies and rewrite documentation, solving the problem of outdated docs for developers.

1 engagement·1 source·reddit