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0:22EN
Theo - t3․gg· Sep 12, 2026Theo’s Take on GPT-6 Astra: A Next-Generation Model With Rough EdgesTheoTheo praises the model across coding and other tasks while warning that it can still over-engineer and get stuck in loops.Models & trainingAI cost & performanceCoding agents
9 slides1:16:51EN
Theo - 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.Coding agentsAI cost & performanceComputer use+2
7 slides49:22EN
Theo - 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.Coding agentsDeveloper workflows & testingAgent orchestration+2
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
11 slides44:12EN
Theo - t3․gg· Sep 4, 2026GPT-6 Astra: Theo’s Early Tests of Computer Use, 3D and CodingTheoTheo reviews launch-era pricing and benchmarks, shows projects built with the model, and recounts a frustrating PR-review failure.Models & trainingComputer useCoding agents+2
10 slides55:06EN
Theo - t3․gg· Sep 3, 2026Fable 5.1 in Practice: Theo on Costs, Agent Workflows and PR QualityTheoTheo reviews the launch, prompting guidance and his early coding experiments, including an observational comparison of pull requests.Coding agentsAI cost & performanceCode review & verification+2
2 slides0:24EN
Theo - t3․gg· Sep 3, 2026Theo’s Low-Cost Experiment Auditing T3 Code Pull RequestsTheoTheo describes using an inexpensive model to review recently updated pull requests and proposes a recurring readiness check.Code review & verificationCoding agentsAI cost & performance
4 slides38:05EN
Theo - 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.Coding agentsDeveloper workflows & testingInfrastructure & deployment+1
6 slides28:37EN
Theo - 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.AnthropicCoding agentsAgent orchestration+2
2 slides2:19EN
Theo - 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.AnthropicCoding agentsAgent orchestration+1
2 slides19:24EN
Theo - t3․gg· Jun 26, 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.GeminiCoding agentsCompany Culture+1
2 slides44:34EN
Theo - t3․gg· Jun 22, 2026Theo’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.Developer productivitySoftware engineeringCoding agents+2
0:26EN
Theo - 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.Agent orchestrationMulti-agent systemsCoding agents
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
0:59EN
Theo - 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.Agent orchestrationCoding agentsCode review & verification
0:36EN
Theo - 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.Agent orchestrationCoding agentsWorkflow automation
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
Slides2:48EN
Theo - t3․gg· Jun 17, 2026Theo 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.Coding agentsAgent skillsAgent orchestration+1
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
Slides2:30EN
Theo - t3․gg· Jun 12, 2026Theo’s First Look at Fable 5 and Its BenchmarksTheoTheo discusses the relationship between Fable and Mythos, benchmark refusals and early coding results.AnthropicBenchmarksCoding agents+1
0:38EN
Theo - t3․gg· Jun 12, 2026Theo’s Fable Workflow Hit Subscription Limits and Usage CostsTheoTheo describes a costly usage-based run and an unfinished workflow that exhausted two session limits.AI cost & performanceCoding agentsAnthropic
4 slides30:40EN
Theo - t3․gg· Jun 12, 2026Theo 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.Agent orchestrationCoding agentsAI cost & performance+2
5 slides32:53EN
Theo - t3․gg· Jun 11, 2026Theo’s Fable 5 Review: Benchmarks, Real Projects, and LimitsTheoTheo tests a newly released model on coding and creative work, highlighting impressive results alongside failures, safeguards and cost.AnthropicBenchmarksCoding agents+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
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