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TopicDeveloper productivityPersonTheoLength15–30 min
7 slides28:36EN
Theo - t3․gg· Sep 7, 2026Theo 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.Software engineeringCoding agentsDeveloper productivity+2
2 slides23:21EN
Theo - t3․gg· Jun 20, 2026Theo: 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.AI StrategyProduct StrategyDeveloper productivity+2
3 slides24:44EN
Theo - t3․gg· Jun 18, 2026Theo 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.Agent orchestrationCoding agentsCode review & verification+2
4 slides27:47EN
Theo - t3․gg· Jun 17, 2026Theo 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.Coding agentsAgent skillsAgent orchestration+2
3 slides18:56EN
Theo - t3․gg· Jun 4, 2026Why 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.Software engineeringDeveloper productivityHuman-AI Collaboration+1