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슬라이드 5장38:47EN
Theo - t3․gg· 2026년 10월 28일Theo’s Long-Running Agent Experiments: Verification, Compute and CostTheo Browne · Ping LabsA skateboard game and two compiler projects show how repeated checks and flexible compute can sustain agent work—and how expensive those loops can become.코딩 에이전트에이전트 엔지니어링AI cost & performance+2
슬라이드 5장48:04EN
Theo - t3․gg· 2026년 10월 16일Theo Explains Scion, Anthropic’s Source-Control System for Agent-Scale WorkTheo Browne · Ping LabsA deep dive into server-side changesets, layered caches, migration results and the limits of a bespoke Git alternative.Software engineering인프라와 배포코딩 에이전트+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 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 4장38:05EN
Theo - t3․gg· 2026년 7월 3일Why 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.코딩 에이전트개발 워크플로와 테스트인프라와 배포+1
슬라이드 4장22:43EN
Theo - t3․gg· 2026년 6월 29일Mac Prices, Unified Memory and Local AI: Theo’s Buying Trade-offsTheoTheo explains why high-memory Macs appealed for local inference and how rising component prices changed his comparison with PCs.Local inference인프라와 배포AI cost & performance+1
슬라이드 2장23:21EN
Theo - t3․gg· 2026년 6월 20일Theo: 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
슬라이드 3장23:21EN
Theo - t3․gg· 2026년 6월 9일Why the AI Compute Crunch Makes Early GPU Purchases ValuableTheoTheo traces the constraints behind AI computing, from chip fabrication and memory to storage and electricity.Semiconductors인프라와 배포AI cost & performance+1
슬라이드 5장30:11EN
Theo - t3․gg· 2026년 6월 6일What 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.인프라와 배포개발 워크플로와 테스트Open-source ecosystems+2
슬라이드 5장27:55EN
Theo - t3․gg· 2026년 5월 28일Theo on Anthropic’s Reported Profit Forecast and AI Revenue GrowthTheoA discussion of annualized revenue, cloud distribution, usage-based pricing and the limits of a reported quarterly forecast.AI StrategyAI cost & performance엔터프라이즈 AI+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 5장35:13EN
Theo - t3․gg· 2026년 5월 7일Theo on Anthropic’s SpaceX Compute Deal and Claude Usage LimitsTheo Browne, Dario Amodei · Ping LabsThe May 2026 partnership expands capacity for Claude while raising questions about AI infrastructure, training data and competition.Anthropic인프라와 배포코딩 에이전트+2
슬라이드 6장50:46EN
Theo - t3․gg· 2026년 5월 6일Theo Explores GitHub Alternatives and the Cost of LeavingTheo Browne · Ping LabsGitLab, Bitbucket, Forgejo and newer agent-oriented tools each address different parts of source-code collaboration.Open-source ecosystems개발 워크플로와 테스트Software engineering+2
슬라이드 4장41:11EN
Theo - t3․gg· 2026년 5월 5일Theo and ThePrimeagen on AI Subscriptions, Compute and Model EconomicsTheo Browne, ThePrimeagen, Dario Amodei · Ping LabsA discussion of usage limits, training costs and why the price of a token differs from the cost of useful work.AI cost & performance코딩 에이전트인프라와 배포+2
슬라이드 7장36:45EN
Theo - t3․gg· 2026년 5월 4일Theo on the Microsoft–OpenAI Agreement and Amazon’s Cloud OpportunityTheo Browne · Ping LabsThe 2026 amendment changes exclusivity and revenue sharing while keeping Microsoft and OpenAI in a continuing partnership.OpenAI인프라와 배포엔터프라이즈 AI+2