ai-job-search-dev

    ai-job-search-dev/ai-job-search

    The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

    68.7K stars
    21.9K forks
    68.7K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 13 days ago, with 93 contributors on GitHub.

    Peaked at #1 in the weekly ranking the week of Jul 5, its best in the past year.

    Use Cases & Benefits

    • Provides an AI-powered framework to automate job searching, application tailoring, and interview preparation using Claude Code.
    • Ensures highly tailored, verified CVs and cover letters with automated PDF layout checks and ATS compatibility validation.
    • Use for automating personalized job applications with dynamic CV and cover letter generation based on job postings.
    • Use for discovering skill gaps and generating prioritized learning plans to improve candidacy between applications.
    • Use for creating custom job portal integrations to adapt the search workflow to local or niche job boards.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    An AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate job postings, tailor your CV, write cover letters, and prepare you for interviews.

    A structured workflow that turns Claude Code into a full-stack job application assistant. The core workflow (self-profiling, fit evaluation, and the drafter-reviewer application pipeline) is language- and country-agnostic. The job portal search skills are built for the Danish market (Jobindex, Jobnet, Akademikernes Jobbank, etc.), but the pattern is designed to be swapped for your local job boards.

    The framework encodes career guidance best practices, including structured evaluation criteria, forward-looking cover letter framing, and optional salary benchmarking.

    Excerpt from the ai-job-search-dev/ai-job-search README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 6: +105Aug 7: +475Aug 8: +133Aug 9: +137Aug 10: +150Aug 19: +99Aug 27: +965Aug 28: +431Aug 29: +337Aug 30: +405Aug 31: +595Sep 1: +689Sep 2: +525Sep 3: +332Sep 4: +193Sep 5: +64Sep 15: +233Sep 16: +65Oct 12: +154Oct 13: +163Oct 14: +229Oct 18: +1,894Oct 19: +2,804Oct 20: +4,068Oct 21: +3,312

    +38,643 stars over 89 days across 33 snapshot days; best day +4,068 on Oct 20.

    Forks

    21.9K+11.7K

    Open issues

    84+76

    Compared with peers in Web

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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    ai-job-search-dev/ai-job-search68.7K—5913 days ago
    Category median22.8K+4.8K75—

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