YAGNI Information

Engineering leaders tell us 50 to 60% of a senior team's week goes to backlog and maintenance: bugs, upgrades, flaky tests, and customer requests that keep slipping a sprint. AI coding tools made writing code faster, but the review queue and the backlog keep growing, and hiring is the only lever most teams have. YAGNI runs a managed team of AI agents that works through that backlog, so your engineers can spend their time on high-value greenfield work. Each team has named agents with clear jobs. Bailey proposes the next ticket worth taking on. Reeve turns it into a plan that fits your codebase. Wright builds it on a branch and opens the pull request. Proctor reviews it the way a senior engineer would. Fletcher tests it in a real browser. Harper reports what shipped in plain English. Not more PRs to review. Fewer. Every PR arrives already reviewed and browser tested. You set the dial: approve each one, or let low-risk changes merge once they pass. Deploys, production credentials and data migrations stay with your team. We connect your repo and tracker and tune the team to your codebase. Start with a personal team on your own Jira or Linear tickets, attach a team to a shared backlog, or start small with PR reviews only. Pricing is flat and predictable: pick a small, medium or large team for one monthly fee, with model and token costs included. Try it on your own backlog: connect Linear or Jira, choose 3 tickets, and judge the pull requests yourself. yagni.app