v0.11.0: Contribution Pipeline, Satisfaction Feedback & Verified Scores, and Explain Context
v0.11.0 is a big one — it introduces a complete contribution management pipeline, a satisfaction feedback system that tracks how well each AI model performs, and a bunch of board and settings TUI improvements.
Contribution Pipeline
You can now receive external contributions as GitHub/GitLab/Bitbucket issues and have them automatically checked for overlap with your existing tasks. CI/CD templates handle the automation, and a new contribution review skill walks you through analyzing, merging, and importing contributions. You can even merge multiple related issues into a single task or update an existing task with new contribution content.
Satisfaction Feedback & Verified Scores
Every task completion can now optionally ask you to rate how well the AI did. These ratings feed into per-model verified scores tracked across time windows — all-time, monthly, and weekly. The settings TUI shows you which models perform best for which operations, and ait stats now includes verified model rankings with bar chart visualizations. Over time, this helps you pick the right model for the job.
Explain Context
The explain feature now gathers historical task context automatically. When you ask for an explanation of a file, it pulls in relevant past tasks and plans to give you richer context about why the code looks the way it does.
Board TUI Polish
The board got several quality-of-life improvements: a pick command dialog that works cleanly in tmux/terminal multiplexers, keyboard shortcuts on all task detail buttons, and better integration with the pick workflow.
Full changelog: v0.11.0 on GitHub