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31:13ENTheo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.
38:21ENHow Theo Works With One Hand: Dictation and Coding AgentsTheo Browne · T3After a hand injury, Theo Browne combines voice input, one-handed navigation and agents to reduce friction in his daily work.
51:15ENHow Theo Refined His AGENTS.md and Skills From Real Agent FailuresTheo Browne · t3.ggTheo Browne explains how he audits agent sessions, writes project guidance and shares skills across machines without treating his configuration as a template.
0:42ENTheo on Using an AI Agent to Test Debugging HypothesesTheo Browne · Ping LabsWhen a model could not find a problem on its own, Theo asked it to build a tool for testing his theories.
27:32ENHow Theo Diagnosed a T3 Code Rendering Problem with Coding AgentsTheo Browne · Ping LabsA fast-looking idle page heated a laptop. Theo used agent-built experiments to isolate animations and compositing effects after confident diagnoses missed the cause.
23:37ENTheo on Linus Torvalds, AI Review and Open-Source MaintainersTheo Browne · Ping LabsA Linux mailing-list debate prompts a discussion of AI code review, maintainer workload and why developers experience tools differently.
0:33ENTheo on Shared AI Conversations and Team CollaborationTheoA shared Claude conversation in Slack lets teammates see and continue the same work. Theo argues that this kind of collaboration differs from a GitHub-centered workflow.
0:48ENTheo Responds to Karpathy’s Discussion of Claude in SlackTheoTheo says a post about tagging Claude in Slack may seem surprising, but he sees lessons for the AI industry in the feature.
20:47ENFrom Chatbots to Team Agents: Theo on Karpathy’s Claude Tag ThesisTheoTheo explores shared channel context, asynchronous agents and the trade-off between a ready-made team workflow and model choice.
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.
38:50ENCan AI Help Less Experienced Engineers Grow?TheoTheo discusses coding assistants, team coordination and the difference between learning with AI and blindly relaying its output.
47:33ENHow Theo’s AI Coding Workflow ChangedTheoA walkthrough of remote agents, project context, short prompts, verification and pull-request decisions.
36:05ENWhen AI Agents Should Use HTML Instead of MarkdownTheo Browne · T3Theo explores interactive reports, visual plans, code review, and one-off tools while weighing the costs of generated HTML.
56:43ENTheo on AI Coding, Cognitive Debt and Keeping Your SkillsTheo Browne · Ping LabsCoding agents can speed up development and learning, but outsourcing understanding creates a different kind of debt.
54:06ENLearning to Code and Finding Opportunities as a New DeveloperTheo Browne · T3Theo Browne reflects on the circumstances behind his first job and discusses feedback, community, AI-assisted learning and human connections.
37:54ENA First Look at Claude Design: From Visual Prototype to Code HandoffTheo Browne · T3Theo Browne redesigns a T3 Code landing page to test visual feedback, usage limits and handoff to Claude Code.









