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88개정렬
27:09ENWhy Theo Values Reliable Coding Agents Over Peak PerformanceTheo Browne · T3Theo Browne argues that a model’s weakest moments matter when a coding task stretches from investigation through testing and review.
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.
1:02:53ENShopify’s Return to Native: What AI Changes for React NativeTheo Browne · T3Theo Browne weighs Shopify’s move to Swift and Kotlin against over-the-air updates, tooling, platform limitations and his own AI-assisted port.
27:05ENOpenAI and Cursor’s Split: What Changes for DevelopersTheo Browne · Ping LabsTheo explains the proposed end of direct OpenAI model access in Cursor, the dispute over usage figures, and alternatives for developers.
43:14ENWhy Theo Uses GLM-5.3-Flash for Coding Agent WorkTheo Browne · Ping LabsThe anonymous Ox Alpha model became GLM-5.3-Flash. Theo tests its pull-request triage, cost, multimodal features and limitations.
39:28ENTheo’s Case Against Automatic Coding-Agent MemoryTheo Browne, Mario, Armin, Uncle Bob · Ping LabsAfter examining Claude Code memories on his machines, Theo explains his preference for maintained project context, architecture and automated checks.
0:42ENTheo on the Mental Overhead of Terminal WorkflowsTheo Browne · Ping LabsA longtime terminal user explains why keeping track of multiple simultaneous tasks can become difficult.
33:48ENIs Coding Solved? Theo Separates Code Generation from EngineeringTheo Browne · Ping LabsA Claude Code UI defect sparks a debate about what agents can implement and what it takes to verify and maintain good software.
0:32ENTheo on the Friction of Using a Terminal on a PhoneTheo Browne · Ping LabsTheo appreciates SSH but finds mobile terminal workflows frustrating, even with alternatives such as SSH3 and Mosh.
36:35ENTheo’s AI Model Tier List: Capability, Cost and Coding WorkflowsTheo Browne · Ping LabsTheo compares frontier and smaller models using his own development work, benchmark charts and the prices available in August 2026.
31:48ENWhy File Systems Slow Down Coding Agent WorkflowsTheo Browne · t3.ggTheo Browne compares worktree creation, package installs and storage use across Mac and Linux setups, and explains why he moved his agent workflow to XFS with VDO.
0:24ENTheo on SSH and the Frustration of Unstable ConnectionsTheo Browne · Ping LabsA network interface mix-up caused lag while Theo was working remotely, illustrating a drawback he sees in SSH workflows.
38:21ENHow 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.
31:17ENWhy Theo Moved From Terminals to Graphical Agent WorkflowsTheo Browne · t3.ggTheo Browne explains how parallel coding agents changed his tool preferences, and why he helped build the open-source T3 Code interface.
25:31ENGrok 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.
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.
18:17ENMCP’s Stateless Redesign: What Changed and Why Theo Is OptimisticTheo Browne · Ping LabsThe July 2026 MCP specification replaces protocol sessions with self-describing requests. Theo examines the benefits, examples, and the problem of migrating older clients and servers.
44:42ENTheo Tests Meta’s Muse Code: Fast, Cheap and UnevenTheo Browne · Ping LabsMuse Spark 1.2 handles rapid analysis and pull-request triage at low cost, but Theo’s experiments expose integration failures, hallucinations and rate limits.
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.
0:50ENTheo Questions Codeberg’s Proposed Restriction on AI-Written CodeTheo Browne · Ping LabsTheo reacts to the proposal and asks his audience whether AI-generated or human-written packages are more likely to be secure.
38:47ENTheo on Codeberg’s AI Code Restriction and the Future of Open SourceTheo Browne · Ping LabsAfter supporting Codeberg, Theo challenges its proposed restriction on mostly AI-written projects while examining the costs and governance questions behind the vote.
44:29ENTheo’s Opus 5 Review: Coding Style, Cost and Model TradeoffsTheo Browne · Ping LabsAfter a day of coding with Opus 5, Theo compares it with Fable and GPT-5.6 Sol across plans, benchmarks, costs and real work.
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