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30:37EN
Theo - t3․gg· Oct 26, 2026Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.
1:06:36ENTheo - t3․gg· Oct 2, 2026Theo’s Guide to Running Coding Agents in ParallelTheo Browne · T3Theo explains his approach to subscription usage, agent delegation, review and remote machines, while acknowledging that parts of his setup may violate provider rules.
31:46ENTheo - t3․gg· Sep 29, 2026Claude Sonnet 5.5: A Fast Research Assistant for Coding AgentsTheo Browne · T3Theo tests Sonnet 5.5 on pricing, reasoning effort, codebase analysis and a 3D game, and finds a surprising role for it alongside larger models.
28:41ENTheo - t3․gg· Sep 25, 2026How Theo Uses Opus 5.5 for Longer Coding TasksTheo Browne · T3Clear finish lines, explicit stopping points, steering and independent verification can make long agent runs easier to manage.
1:16:51ENTheo - t3․gg· Sep 11, 2026Fable 5.1 vs GPT-6 Astra: Theo on Coding, Computer Use and CostTheoTheo compares the models through coding projects, 3D demos and agent workflows, and explains why he uses each for different jobs.
49:22ENTheo - t3․gg· Sep 9, 2026Theo’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.
38:21ENTheo - t3․gg· Aug 19, 2026How Theo Evaluates AI Agent Skills: Matt Pocock’s Collection and PStackTheo Browne · t3.ggTheo Browne tries skills for clearer writing, project interviews and code review, and explains how he selects instructions for his own agent workflows.
25:31ENTheo - t3․gg· Aug 13, 2026Grok 4.6: Better Agent Benchmarks, With Tradeoffs in Speed and CostTheo Browne · t3.ggTheo Browne tests Grok 4.6 on design, games and real code, weighing reported benchmark gains against his experience of slower and costlier tasks.
30:48ENTheo - t3․gg· Jul 16, 2026Why Theo Runs GPT-5.6 Sol in Claude CodeTheo Browne · Ping LabsA hands-on comparison of coding-agent workflows, historical system prompts and the practical limits of changing a model’s harness.
25:58ENTheo - t3․gg· Jul 14, 2026Theo on Codex Ultra: Reasoning Effort, Sub-Agents and UsageTheo Browne · Ping LabsTheo examines the Ultra mode he tested, its effect on multi-agent work, and why he prefers explicit workflow stages.
30:09ENTheo - t3․gg· Jul 13, 2026Theo on Managing GPT-5.6 Sol Usage and Agent WorkTheo Browne · Ping LabsA practical review of reasoning effort, long runs, delegation and stopping points, grounded in the limits and products available in July 2026.
26:09ENTheo - t3․gg· Jul 10, 2026What Theo Built with GPT-5.6 During Six Weeks of Early AccessTheo Browne · Ping LabsFrom mobile rewrites to a compiler prototype and remote machine repair, Theo Browne shares unusually large-scale experiments and their limits.
0:33ENTheo - t3․gg· Jul 10, 2026Three Eras of AI Coding Agents: Tool Calls, Long Tasks, and OrchestrationTheo Browne · Ping LabsTheo Browne uses three model releases to explain how he sees coding agents developing.
24:43ENTheo - t3․gg· Jul 9, 2026Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.
43:15ENTheo - t3․gg· Jul 6, 2026Theo’s Fable 5 Workflow: Model Routing, PR Review, and VerificationTheo Browne · Ping LabsA practical walkthrough of delegating tasks across models and turning a stalled backlog into reviewed work, with cost and deployment boundaries.
23:24ENTheo - t3․gg· Jul 4, 2026Fable 5: Theo’s Take on Fallbacks, Subscription Limits, and CostTheo Browne · Ping LabsTheo Browne examines performance claims and shares the cost-saving workflow he used during a limited subscription window.
38:05ENTheo - t3․gg· Jul 3, 2026Why Theo Moved His Agent Work to Linux MachinesTheoLong-running coding agents, laptop CPU load and slow small-file operations led Theo to build a networked fleet. He demonstrates SSH, a hardware KVM and T3 Code for remote work.
28:37ENTheo - t3․gg· Jul 1, 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.
2:19ENTheo - t3․gg· Jul 1, 2026Theo on Sonnet 5: Agent Orchestration and Token CostsTheoTheo welcomes Sonnet 5's ability to coordinate subagents while questioning its token efficiency. He also discusses the introductory pricing announced at release.
20:47ENTheo - t3․gg· Jun 25, 2026From 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.
0:26ENTheo - t3․gg· Jun 22, 2026Theo on Agent Workflows: Don't Predefine Every PersonaTheoTheo explains his initial skepticism about orchestrating multiple coding agents and why he sees predefined personas as a poor fit for AI's dynamic nature.
0:59ENTheo - t3․gg· Jun 19, 2026Theo: Design Agent Feedback Loops Instead of Every PromptTheoAfter mixed results with early loops, Theo describes why agent-driven review and iteration changed his mind about prompting.
0:36ENTheo - t3․gg· Jun 18, 2026Theo: Use One-Off Code to Coordinate Agent LoopsTheoA short example of an agent writing temporary code to trigger a workflow makes Theo rethink how models can prompt themselves.
24:44ENTheo - 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.Load moreShowing 24 of 28