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49:22ENTheo’s AI Agent Workflow: Parallel Investigations, Review Loops and Safer MergesTheoA walkthrough of how Theo uses agents, remote previews and release safety nets to keep coding while running a company.
28:36ENTheo on Partial Understanding: Working in Large Codebases With AITheoReading Sean Goedecke on theory-building, Theo explains why engineers need useful mental models without memorizing an entire system.
44:34ENTheo’s Six Ideas for Better Developer Tools and PlatformsTheoFrom safer package distribution to an open mobile platform and unusual AI benchmarks, Theo shares projects he hopes others will build.
23:21ENTheo: Think Bigger When AI Makes Building CheaperTheoTheo compares AI-assisted development with the cloud transition and explains why he is experimenting with a broader developer platform.
24:44ENTheo on Coding Agent Loops: Review, Coordination, and CostTheoTheo describes moving from manually passing review feedback to dynamic agent workflows, including an overnight multi-PR experiment and its limitations.
2:48ENTheo on Claude Code Features He Wants Other Tools to AdoptTheoDespite his criticisms, Theo highlights skill scripts, context imports, side questions, workflows and remote control as ideas worth borrowing.
27:47ENTheo on Claude Code: Skills, Workflows, and Session ControlsTheoTheo walks through features he hopes other agent tools will adopt, including dynamic skill context and a code-generated PR audit.
30:40ENTheo on Agent Workflows, Usage Limits, and Building MoreTheoTheo demonstrates multi-agent PR reviews, ranked work queues and remote development while reflecting on cost, verification and sleep.
0:55ENTheo on Why He Created the T3 StackTheoBefore his AI coverage, Theo built create-t3-app to make full-stack type safety easier to use and explain.
0:27ENTheo on the Three Virtues of Great ProgrammersTheoLaziness, impatience and hubris sound like flaws, but Theo explains how they can motivate useful automation.
18:56ENWhy Programmer Laziness Still Matters in the Age of AITheo, Bryan CantrillTheo reads Bryan Cantrill’s essay on abstraction, code volume and the human responsibility to make software simpler.









