QualityGate — AI Code Review Quality Assurance

Stop AI code assistants from shipping bugs faster than humans can catch them

QualityGate intercepts AI-generated code before merge, detecting the 7 most common pitfalls that Cursor and Copilot introduce—missing null checks, incomplete error handling, and architectural drift. Built on tree-sitter AST analysis and libgit2 diff parsing, it integrates directly into GitHub/GitLab PR workflows to block merges that fail quality thresholds. Engineering teams ship AI-assisted code 3x faster without sacrificing the standards that took years to build.

Key Benefits:

- Catches 7 AI-specific code smells (unhandled async errors, missing validation, hardcoded secrets) that human reviewers miss in fast-moving PRs

- Integrates as a GitHub Action or GitLab CI step in under 10 minutes—no code changes, just YAML configuration and quality rule selection

- Provides diff-level annotations showing exactly which AI-generated lines violate team standards, with suggested fixes based on your existing codebase patterns

MVP Scope: GitHub-integrated PR quality gate that detects 7 common AI coding pitfalls (missing null checks, incomplete error handling, unhandled async errors, missing validation, pattern violations, hardcoded values, missing logging) in AI-generated code diffs. Blocks PRs failing quality checks with detailed reports. Supports single repository with manual rule configuration.

Tech Stack: libgit2, tree-sitter AST parsers, Python/FastAPI, PostgreSQL, GitHub/GitLab APIs, React, Docker

Components:

- Diff Analyzer Engine

- Quality Rule Engine

- PR Gate & Reporting Dashboard

- CI/CD Integration Layer

- AI Pattern Detection Module

Quality assessment: Strong technical foundation (tree-sitter AST + libgit2 + concrete detection rules) addressing a genuine pain point in AI-assisted development, but the pitch is incomplete/truncated, lacks differentiation from existing SAST tools, and needs clearer market positioning to reach 0.90+.