overview
What is career-ops?
career-ops is an AI-powered job search system developed by Santiago Fernández de Valderrama that enables high-agency job seekers to automate application tracking, generate tailored resumes, and scan job portals. It operates as a command-line interface (CLI) tool within AI coding assistants like Claude Code, Codex, OpenCode, Gemini CLI, or GitHub Copilot. This open-source system transforms an AI coding CLI into a comprehensive job search command center, streamlining career management by automating various aspects of the application process. Its functionalities include automated application tracking via a Go-based terminal dashboard, AI-powered resume tailoring for ATS optimization, and opportunity scanning across over 45 pre-configured company portals. The system evaluates job offers against a user's CV using a structured A-F grading system across 6 to 10 weighted dimensions, recommending against applying to roles scoring below 4.0/5. Additionally, career-ops assists with application questions and supports batch processing for efficient handling of multiple job applications simultaneously, such as processing 122 URLs in parallel for evaluation. It is designed for active, structured job seekers and developers who seek to automate mechanical job search tasks while maintaining human oversight for strategic decisions, explicitly not functioning as a 'spray-and-pray' auto-application tool.
