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

Описание и применение

Инструмент Bug Buster анализирует AST проекта, выявляя типичные ошибки, возникающие в коде, сгенерированном LLM, и интегрируется в CI как проверка, уменьшая количество инцидентов в продакшене.

Задача

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

Результат

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

Рабочий процесс

• 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

Доказательства

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

Источник

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

Источник