Stop Doing Agent Archaeology on Your Team's Code - Richard Feldman, Delta
Source
youtube.com
Author
AI Engineer
Date
Why it matters
Names the cost of losing agent reasoning at handoff and shows one design: a shared thread holding conversation, diffs, review and terminal state.
Key takeaways · AI-distilled
Richard Feldman argues that a handoff of AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition →-driven work usually passes on the branch and maybe a pasted transcript, but loses the reasoning, dead ends and decisions made along the way, leaving teammates to do agent archaeology.
Delta keeps the agent conversation, code changes, reviews and teammates in one shared thread: a coworker can be @-mentioned in, and line-by-line review comments go straight to the agent.
The Delta demo also shows live terminal sync and instant local checkouts of a teammate's work, and the Q&A covers scale, on-prem deployment, CI and catching up on long threads.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.