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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 -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.
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