Your AI Wrote That Code. It's Probably Full of Landmines.

Description and use

Bug Buster statically analyzes a project’s AST to detect AI‑generated code landmines, integrating into CI as a lint gate that reduces production bugs.

Problem

AI‑generated code often contains subtle, structural bugs that slip past human review, leading to costly production failures.

Outcome

Integrating Bug Buster into the workflow catches structural bugs that human reviewers miss, lowering debugging time and improving code reliability.

Workflow

• 1. Run Bug Buster locally: python bug_buster.py src/ --report md
• 2. Review the generated markdown report for flagged issues
• 3. Fix identified landmines (e.g., replace except Exception: pass with proper handling)
• 4. Re‑run Bug Buster to confirm no remaining issues
• 5. Add python bug_buster.py . || echo "Fix the landmines before merging" to CI pipeline

Evidence

Run it on your repo, get a clean report: python bug_buster.py src/ --report md

Source

Exit code contract: 0 = clean, 1 = issues found. That means you can drop it into your CI pipeline and it behaves like a lint gate that actually catches the AI‑specific bugs

Source