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16 articlesTrier
1:16:51ENFable 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’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.
44:12ENGPT-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.
55:06ENFable 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.
38:05ENWhy 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.
31:30ENWhy Some AI Models Use Fewer Tokens to Solve a TaskTheoTheo explains input, output, caching and reasoning tokens, then explores a hypothesis about terse internal reasoning.
30:08ENGPT-5.6’s Limited Preview: Benchmarks, Agent Risks and AccessTheoTheo reviews the launch-era announcement, published evaluations and reported agent incidents, while questioning the balance between safety and broad access.
44:34ENTheo’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.
30:40ENTheo 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.
32:53ENTheo’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.
44:57ENTheo on Anthropic’s Case for Preparing for AI Self-ImprovementTheoAn examination of internal productivity evidence, uncertain AI futures and the challenge of coordinating a pause.
30:11ENWhat Cloudflare’s VoidZero Acquisition Could Mean for Vite and AI DeploymentTheoTheo examines the developer experience behind the deal and demonstrates his own unreleased cloud project.
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.
32:30ENTheo Reviews DeepSWE and the Limits of Coding BenchmarksTheoAn investor in DataCurve examines its coding benchmark, the results shown in the video and their limitations.
47:33ENHow Theo’s AI Coding Workflow ChangedTheoA walkthrough of remote agents, project context, short prompts, verification and pull-request decisions.
36:03ENTheo on Meta’s Personal AI Strategy and the Shift Beyond Open ModelsTheo, Mark Zuckerberg · Theo - t3․ggA 2025 analysis of Meta’s personal-superintelligence announcement, platform history and the competition for personalized AI.









