Career-ops is a command-line tool that automates job searching by scanning job portals, evaluating listings, and managing applications.
The tool addresses the tedium of job hunting by integrating with AI coding assistants to handle repetitive tasks. It scans job portals for listings, evaluates each one using a structured A-F rubric that converts into a numerical score from 1.0 to 5.0, tailors your CV to match job requirements, and maintains a record of applications you have submitted. The system runs locally within an AI coding CLI environment such as Claude Code, Codex, OpenCode, or Antigravity, meaning your job search data and interactions stay on your machine rather than being sent to external services.
This tool suits developers and other technical professionals who want to streamline their job search without manually reviewing dozens of listings or repeatedly customizing their resume. It works best for those comfortable running command-line tools and integrating with AI coding assistants. The structured scoring rubric provides a consistent, objective way to filter opportunities rather than relying on gut feeling, which can help prioritize applications toward roles that genuinely match your criteria.
The project maintains active engagement with contributors at all experience levels, explicitly welcoming first-time open-source participants through labeled issues. Development activity shows consistent attention to both new feature work and maintenance of existing functionality. The codebase demonstrates a commitment to accessibility for newcomers, with documentation and issue labeling designed to lower barriers to contribution.
