Bowen demonstrates the tool while replacing roughly 12,000 lines in a live game website. The pull request becomes a practical test of whether an AI review interface can make diffs, merges and architectural risk more approachable for people without deep GitHub experience.
Change Stack groups related files into semantic layers, provides high-level summaries and diagrams, and links findings back to the relevant changes. Its context panel ranks concerns, shows analysis chains and produces prompts that can be handed to another coding agent.
The walkthrough also shows the limits of automation. One inferred dependency is inaccurate, and Bowen explains why a reported slug collision has lower severity for this low-traffic site. Reviewer comments can preserve that repository-specific context for later reviews.
After applying fixes, merging the pull request and confirming the deployed site still reads its existing backend data, Bowen argues that the main value is legibility. The tool does not remove the need for human review, but it can turn a large code change into a navigable sequence of decisions.
Watch on YouTube
