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Fri, October 1623:15ToolsModel releasesAI codingOpen sourceModel releases guide

career-ops open-source job-hunting agent: scans local listings and scores them against your resume

Decision Brief

What changedOpen-source project career-ops launches: it scans job boards inside a local AI command line, scores each role 1-5 against your resume, and generates tailored resumes and cover letters.
Why it mattersIt runs job filtering, resume tailoring, and tracking entirely inside a local AI command line, sending your resume only to the model provider you choose—a self-hosted option for developers who don't want to hand job-search data to third-party platforms.
Who should careAI coding tool users
Affected stackClaude CodeOpenAI
Builder actionUpdate Claude Code to the latest version
Source confidenceHigh · Official release / blog / repo

career-ops is an open-source job-hunting agent that runs inside AI coding CLIs (Claude Code, Codex, OpenCode, etc.). It first checks whether a posting is still live, then scores it 1-5 against the user's real resume; anything below 4.0 gets a recommendation not to apply. Once a role passes, it auto-generates ATS-readable tailored resume and cover letter PDFs via an HTML plus Playwright pipeline, and also supports interview prep, salary negotiation scripts, and application tracking. It ships presets for 100+ companies including Anthropic, OpenAI, ElevenLabs, Retool, and n8n, covering Ashby, Greenhouse, Lever, and Wellfound channels; install with npx @santifer/career-ops init. By design, human confirmation is strictly preserved: the system only drafts answers for each field and never auto-submits applications (prepare-application.mjs performs no POST), the codebase contains no email-sending module, and there is no telemetry or backend—resumes travel only from the user's machine to their chosen model provider. All application records stay local, and the only public record is HIRED.md in the repo. The project matters most to developers applying on their own and to tech teams currently hiring: it shifts spray-and-pray applications toward fewer, sharper targeted ones, at the cost of an initial conversation about your resume, target roles, and dealbreakers, plus manual judgment on whether to override low-scoring roles.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

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