Group AI-generated code changes into reviewable commit candidates before approval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "GitInProgress" yet — see the docs or source repo.
Scan all uncommitted AI-generated changes in the current repo, group them into feature fixes, refactors, and test additions, and create reviewable commit candidates with a summary and affected files for each group.
A themed list of commit candidates with descriptions, file lists, and review rationale for each group.
Split the current changes into minimal, clean commit candidates and do not commit anything yet; flag high-risk files and potentially mixed changes, then wait for my approval group by group.
Reviewable commit candidates with risk notes and a suggested approval order.
Check whether this batch of AI changes mixes unrelated modifications together; if so, regroup them into separate commit candidates and explain why they were split.
More focused commit candidate groups with an explanation of each boundary and split decision.
Create commits for code changes with AI-generated messages matching repo style.
Generate standardized Git commits from diffs with logical grouping support.
Review Git diffs and Markdown with a web UI and MCP AI access.
Let AI edit VS Code files with interactive diff review and change approval.
Let AI read, search, and manage local Git repositories and commit history.
Run a structured code review before commit or release on local or PR branches.