AIToday
Large Language ModelsHacker NewsPublished: Jun 20, 2026, 19:00 JST

Logslim, an open-source tool, compacts verbose test and build logs by 80–95% to help both developers and AI agents read failures faster.

Logslim, an open-source tool, compacts verbose test and build logs by 80–95% to help both developers and AI agents read failures faster.

3 Key Points

  1. What happened

    Logslim strips ANSI colors, deduplicates repeated warnings, collapses stack frames from node_modules, and extracts structured errors (file, line, message) from test and build output. It runs as a CLI wrapper, GitHub Action, or MCP server for Claude Code and Cursor, and is available on MIT license with no account or API key required.

  2. Why it matters

    When CI fails or an AI agent runs tests, reading 500–3000 lines of noise (progress bars, duplicate warnings, vendor stack traces) wastes time and tokens. Logslim reduces that to 25–55 lines while preserving the actual failure and fix hints, letting humans spot the problem immediately and agents focus compute on diagnosis rather than noise.

  3. What to watch

    Measured token savings range from 64% (Pytest with 25 identical failures) to 92% (Jest with warning spam and one failure). Every removed section is marked with a note so the agent or developer can re-run the raw command if full logs are needed; the tool also attaches fix cards for known error codes (TypeScript TS2339, npm ERESOLVE, Node ECONNREFUSED) with 2–4 short fix steps per code.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleNvidia CEO: AI will boost, not kill, software stocks