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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 2장0:43EN
Theo - t3․gg· 2026년 10월 23일Theo Distinguishes Security Vulnerabilities from Active AttacksTheo Browne · Ping LabsA short explanation of why disclosed software flaws and reported attacks are different kinds of security news.CybersecuritySoftware engineering
슬라이드 6장29:22EN
Theo - t3․gg· 2026년 10월 22일Theo on Security Vulnerabilities, Stolen API Keys and AITheo Browne · Ping LabsA look at the gap between vulnerability disclosure and patching, and a speculative account of why stolen inference keys may be valuable.CybersecurityAI securitySoftware engineering+1
슬라이드 4장31:13EN
Theo - t3․gg· 2026년 10월 20일Theo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.코딩 에이전트Developer productivityHuman-AI Collaboration+1
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 7장38:30EN
Theo - t3․gg· 2026년 10월 14일Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.Gemini코딩 에이전트평가(Evals)+2
슬라이드 8장47:40EN
Theo - t3․gg· 2026년 10월 10일How Theo Used AI Agents to Port TypeScript to RustTheo Browne · Ping LabsThe TS Rust experiment combines a Go-to-Rust compiler port, subscription-based agent work and a prototype developer loop inside a V8 isolate.코딩 에이전트Developer productivitySoftware engineering
슬라이드 14장1:10:29EN
Theo - t3․gg· 2026년 10월 5일How Anthropic Used Claude to Improve App PerformanceTheo Browne · Ping LabsTheo Browne examines a two-week performance sprint, its measurement tools, human review and the tradeoffs behind faster interfaces.코딩 에이전트Developer productivitySoftware engineering
슬라이드 5장1:06:36EN
Theo - t3․gg· 2026년 10월 2일Theo’s Guide to Running Coding Agents in ParallelTheo Browne · T3Theo explains his approach to subscription usage, agent delegation, review and remote machines, while acknowledging that parts of his setup may violate provider rules.코딩 에이전트Agent orchestrationDeveloper productivity+2
슬라이드 6장30:58EN
Theo - t3․gg· 2026년 9월 29일GPT-6.1 Sol: Cheap, Thorough at Code Review, but Uneven at Long BuildsTheo Browne · T3Theo compares early tests of GPT-6.1 Sol with competing models, from benchmark cost to real code reviews and a 3D game demo.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 7장31:46EN
Theo - t3․gg· 2026년 9월 29일Claude Sonnet 5.5: A Fast Research Assistant for Coding AgentsTheo Browne · T3Theo tests Sonnet 5.5 on pricing, reasoning effort, codebase analysis and a 3D game, and finds a surprising role for it alongside larger models.코딩 에이전트AI cost & performance평가(Evals)+2
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 8장40:14EN
Theo - t3․gg· 2026년 9월 23일Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.코딩 에이전트AI cost & performance평가(Evals)+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 8장1:02:53EN
Theo - t3․gg· 2026년 9월 14일Shopify’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.Software engineering코딩 에이전트Developer productivity+2
슬라이드 9장33:48EN
Theo - t3․gg· 2026년 8월 24일Is 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.코딩 에이전트Software engineering개발 워크플로와 테스트+2
슬라이드 5장31:48EN
Theo - t3․gg· 2026년 8월 20일Why 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.개발 워크플로와 테스트Developer productivityBenchmarks+2
슬라이드 7장44:42EN
Theo - t3․gg· 2026년 8월 7일Theo 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.코딩 에이전트AI cost & performanceSoftware engineering+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 12장1:00:06EN
Theo - t3․gg· 2026년 7월 15일Bun’s Rust Port and the Dispute with Zig’s CreatorTheo Browne · Ping LabsTheo examines the engineering behind Bun’s AI-assisted rewrite and the contested response from Zig creator Andrew Kelley.Software engineering코딩 에이전트Programming Languages+2
슬라이드 6장36:00EN
Theo - t3․gg· 2026년 7월 12일GPT-5.6 Reviewed: Strengths, Costs, and Coding-Agent TradeoffsTheo Browne · Ping LabsTheo Browne assesses Sol, Terra and Luna through benchmark results and hands-on coding experience.코딩 에이전트AI cost & performance평가(Evals)+2
0:20EN
Theo - t3․gg· 2026년 7월 8일Theo on Guilt-Merging Pull Requests and Questioning CodeTheo Browne · Ping LabsA short reflection on why developers sometimes accept changes they do not think are right.Code review & verificationSoftware engineeringCoding Culture
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