I kept finding the same mess in every vibe‑coded repo, so I built a CLI to catch it before I do

Описание и применение

CLI‑инструмент rebrief автоматически анализирует репозитории, созданные ИИ‑инструментами, выявляя стек, историю коммитов, риски, секреты, технический долг и покрытие тестами, экономя два часа ручной работы.

Задача

Freelance developers often inherit projects built with AI tools that contain hidden issues such as hardcoded secrets, unclear stack usage, missing tests, and untracked TODOs, costing about two hours of manual investigation per repo.

Результат

The CLI automates the initial repo assessment, producing a concise report that replaces two hours of manual investigation.

Рабочий процесс

• Run pip install rebrief
• Execute rebrief scan .
• Review the generated REBRIEF.md for stack, history, risk, secrets, debt, TODOs, and test coverage

Доказательства

I freelance. Half my work lately is taking over projects built with AI tools like Cursor, Claude, Codex.

Источник

Every single time I open one of these repos, the first two hours look the same: scroll through git history, grep for hardcoded API keys, figure out stack, find TODOs, check tests.

Источник

rebrief scans a repo and spits out a single REBRIEF.md file with stack detection, filtered git history, a risk map, secrets detection, tech debt and TODO list, test coverage summary.

Источник

pip install rebrief rebrief scan .

Источник

It also works in a few other modes if that's useful to you: MCP server mode, scan a remote repo by URL, chat mode over the generated report, interactive HTML output, or XML if you need it machine-readable.

Источник

It's open source, live on PyPI and GitHub, past v0.3.2. Built it because I needed it myself, not because I had a grand plan. Still rough in places.

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