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슬라이드 7장18:18EN
Theo - t3․gg· 2026년 10월 12일Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.AI cost & performance코딩 에이전트모델과 학습
슬라이드 7장28:17EN
Theo - t3․gg· 2026년 10월 6일Ultrafast Coding: A Live Design Loop With a Steep CostTheo Browne · Ping LabsTheo Browne explores how fast inference changes his workflow, and why he still advises against upgrading solely for Ultrafast.코딩 에이전트AI cost & performanceDeveloper productivity
슬라이드 6장28:41EN
Theo - t3․gg· 2026년 9월 25일How 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.코딩 에이전트Prompt optimizationAgent orchestration+2
슬라이드 7장27:53EN
Theo - t3․gg· 2026년 9월 22일Grok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 4장27:09EN
Theo - t3․gg· 2026년 9월 18일Why 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.코딩 에이전트Developer productivityAI cost & performance+2
슬라이드 8장27:05EN
Theo - t3․gg· 2026년 8월 30일OpenAI 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.코딩 에이전트BenchmarksDeveloper productivity+1
슬라이드 8장25:31EN
Theo - t3․gg· 2026년 8월 13일Grok 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.코딩 에이전트평가(Evals)AI cost & performance+2
슬라이드 6장18:17EN
Theo - t3․gg· 2026년 8월 8일MCP’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.MCP코딩 에이전트인프라와 배포+2
슬라이드 7장27:32EN
Theo - t3․gg· 2026년 8월 4일How 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.Software engineering코딩 에이전트Developer productivity+2
슬라이드 3장23:37EN
Theo - t3․gg· 2026년 8월 3일Theo 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.코딩 에이전트Open SourceSoftware engineering+2
슬라이드 5장24:11EN
Theo - t3․gg· 2026년 7월 22일Theo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.코딩 에이전트Code review & verification개발 워크플로와 테스트+2
슬라이드 9장25:58EN
Theo - t3․gg· 2026년 7월 14일Theo 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.코딩 에이전트Agent orchestrationAI cost & performance+2
슬라이드 6장26:50EN
Theo - t3․gg· 2026년 7월 11일Why Theo Thinks the Codex App Rebrand Misses Its Developer CommunityTheo Browne · Ping LabsThe unified ChatGPT desktop app adds useful agent features, but Theo Browne worries that a developer-focused identity is being lost.코딩 에이전트Product Strategy제품과 UX+2
슬라이드 6장26:09EN
Theo - t3․gg· 2026년 7월 10일What 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.코딩 에이전트Computer use개발 워크플로와 테스트+2
슬라이드 6장24:43EN
Theo - t3․gg· 2026년 7월 9일Grok 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.코딩 에이전트평가(Evals)AI cost & performance+2
슬라이드 7장28:11EN
Theo - t3․gg· 2026년 7월 7일The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.Local inferenceOpen-weight modelsAI cost & performance+2
슬라이드 7장23:24EN
Theo - t3․gg· 2026년 7월 4일Fable 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.코딩 에이전트안전과 거버넌스AI cost & performance+2
슬라이드 3장23:36EN
Theo - t3․gg· 2026년 5월 20일Gemini 3.5 Flash, Antigravity CLI, and Railway’s Cloud OutageTheo Browne · T3Theo questions a model launch, a developer-tool transition, and a cloud outage while examining the costs and dependencies behind each.코딩 에이전트GeminiAI cost & performance+2
슬라이드 4장27:29EN
Theo - t3․gg· 2026년 5월 12일Theo on Bun’s AI-Assisted Rust Rewrite and Its RisksTheo Browne · Ping LabsA rapid port raises questions about memory safety, compatibility, and who gets priority when an open-source runtime changes hands.Programming LanguagesSoftware engineering코딩 에이전트+2
슬라이드 5장27:08EN
Theo - t3․gg· 2026년 4월 24일GPT-5.5 in Early Use: Capability, Cost and the Challenge of SteeringTheo Browne · T3Theo Browne compares benchmarks with personal project tests and discusses the gap between capability and following intent.코딩 에이전트OpenAIAI cost & performance+2
23:31EN
Theo - t3․gg· 2026년 4월 14일Theo Browne on Claude Code Subscriptions, iMessage and Platform RulesTheo Browne · T3A developer compares Anthropic’s subscription restrictions with its iMessage integration and calls for clearer rules for third-party tools.Anthropic코딩 에이전트Product Strategy+2