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28:36EN
Theo - t3․gg· 7 sept 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.
28:37ENTheo - t3․gg· 1 jul 2026Theo Tests Sonnet 5 and Explains Fable’s ReturnTheoTheo compares model benchmarks and his own coding tests, finding promise in Sonnet’s subagent orchestration but questioning its task costs.
19:24ENTheo - t3․gg· 26 jun 2026Theo on Google’s Coding Agents, Departures and Internal ExperimentsTheoTheo distinguishes model knowledge from agent behavior and argues that organizations need room for useful prototypes.
23:21ENTheo - t3․gg· 20 jun 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.
24:44ENTheo - t3․gg· 18 jun 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.
27:47ENTheo - t3․gg· 17 jun 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.
18:56ENTheo - t3․gg· 4 jun 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.
20:29ENTheo - t3․gg· 3 jun 2026How Prompts Become Technical Debt in AI CodingTheoTheo examines outdated agent instructions, model-specific behavior and the value of regularly auditing project guidance.
28:02ENTheo - t3․gg· 29 may 2026Theo Tests Claude Opus 4.8 and Claude Code WorkflowsTheoA hands-on look at model behavior, early benchmarks, usage estimates and parallel agent workflows.