Building Tixie — AI-Powered Ticket Management for Developers
A CLI tool that scans codebases with AI to auto-generate tickets, detect bugs and tech debt, and sync progress from commits in real time.
What needed solving
Developers waste hours manually creating, updating, and triaging tickets instead of writing code. Existing project management tools are built for managers, not engineers — they require constant context-switching between the terminal and a GUI. Tixie eliminates this overhead with an AI-powered CLI that scans repositories to auto-generate actionable tickets for bugs, tech debt, and security issues, then keeps them in sync by analyzing commits in real time.
Rules I worked within
Solo project — responsible for product strategy, CLI architecture, AI pipeline design, marketing site, and go-to-market.
CLI must integrate seamlessly with GitHub, GitLab, and Bitbucket via OAuth and real-time webhooks without requiring users to change their Git workflow.
AI ticket generation needed high accuracy — 90% sync accuracy target — to build trust and avoid creating noise in developers' backlogs.
Freemium model must deliver enough value on the free tier to drive adoption while reserving power features for paid conversion.
Measurable outcomes
Designed and developed the full product solo — from brand identity and marketing site through CLI architecture to a live beta at tixie.dev.
AI-powered codebase scanning reduces manual ticket creation and triage by half, letting developers focus on shipping code.
Smart commit analysis automatically matches code changes to existing tickets with 90% accuracy, providing full traceability without manual updates.
Supports 100+ repositories per user across GitHub, GitLab, and Bitbucket with real-time webhook integration and OAuth security.
“The best developer tools meet engineers where they already work — in the terminal. Tixie bets that when ticket management is as seamless as a git commit, teams stop managing process and start shipping product.”