Analysis updated 2026-05-18
Automatically search multiple job portals and rank postings by how well they match your background.
Generate a tailored resume and cover letter for a specific job posting, reviewed by a second AI agent.
Prepare for a scheduled interview using the exact application materials and past interview feedback.
Adapt the job search tools to your own country's job boards instead of the built-in Danish ones.
| madslorentzen/ai-job-search | googlechromelabs/squoosh | withfig/autocomplete | |
|---|---|---|---|
| Stars | 25,181 | 25,170 | 25,168 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Claude Code, Bun, and a working LaTeX installation to compile the resume and cover letter.
AI Job Search is a framework built on top of Claude Code, an AI coding assistant, that turns it into a personal job application helper. The idea is that you fork the project, fill in your own background and career profile, and then use a set of commands to search job postings, judge how well each one fits you, write a tailored resume and cover letter, and prepare for interviews. The creator, a geophysicist whose position was eliminated, built this to run his own job search, using the same commands weekly on real job applications. He reports that after around seventy tailored applications and twenty first interviews, he was offered and accepted a job as an AI engineer. The project is not affiliated with Anthropic, the company behind Claude Code, and the README is explicit that there is no associated cryptocurrency or token. The workflow follows a clear order: a setup step gathers your CV, LinkedIn export, and other career documents into a profile, a search step looks across several job listing websites and shows you matches sorted by fit, and an apply step, given a job posting link or pasted text, evaluates the fit, drafts a resume and cover letter in LaTeX, has a second AI agent review and critique the draft, and produces a final version. A separate command helps prepare for a scheduled interview using the specific application materials and any feedback from earlier interview rounds. The core matching and application logic works in any language or country, but the specific job search tools included are built for Danish job websites, with the expectation that people elsewhere would swap in their own local job boards. Getting it running requires Claude Code, Python, the Bun JavaScript tool, and a LaTeX installation to compile the documents, plus an optional tool for checking that the finished resume reads correctly to automated screening systems.
A Claude Code based framework that searches job listings, scores your fit, and drafts tailored resumes, cover letters, and interview prep for you.
Mainly TypeScript. The stack also includes TypeScript, Claude Code, Python.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.