Autonomous Software Delivery
Built an agentic delivery system that turns production issues into competing fixes, tested pull requests, and reviewed releases.
Build agents that investigate issues, use tools, and prepare tested changes for review.
Start with one workflow and a clear acceptance test. Define tool access, failure handling, and the human review point before expanding autonomy.
Built an agentic delivery system that turns production issues into competing fixes, tested pull requests, and reviewed releases.
Combined seven scanning tools with eight specialist AI reviewers to investigate security findings and filter noise before issues reach engineers.
Built a planning pipeline that turns meeting decisions into prioritized delivery stories, refining 350 proposals to 215 across ten transcripts.