69 minutesThe Agent Landscape - Lessons Learned Putting Agents Into Production
Recognize the failure modes your own agents will hit first and pre-plan the tests, fallbacks and kill criteria for each.
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Conductor CEO Charlie Holtz Walks Us Through His AI Coding Setup
Y Combinator. A concrete senior-engineering walkthrough rather than a panel: Holtz compares Claude Code and Codex, orchestrates several coding agents in parallel, and marks "slop-free zones" where generated code is not allowed to land unreviewed. The setup embodies the article's rules — repository context, small reviewable patches, and the human staying architect while the agents do the typing.
AI Expert note
Holtz builds Conductor, one of the tools shown, so treat the tool choices as one practitioner's stack rather than a ranking. The durable part is the discipline: parallel agents, human architecture ownership and zones where slop cannot land.
What you should get from this
Set up a multi-agent coding workflow with explicit review boundaries so generated changes stay small, tested and owned.
Watch or know first
Experience reviewing pull requests and running at least one AI coding assistant against a real repository.
Last reviewed: Jul 20, 2026
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