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14 件
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スライド 2 枚0:43EN
Theo - t3․gg· 2026年10月23日Theo 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
スライド 6 枚29:22EN
Theo - t3․gg· 2026年10月22日Theo 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
スライド 4 枚31:13EN
Theo - t3․gg· 2026年10月20日Theo 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.コーディングエージェントDeveloper productivityHuman-AI Collaboration+1
スライド 5 枚48:04EN
Theo - t3․gg· 2026年10月16日Theo 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 engineeringインフラとデプロイコーディングエージェント+2
スライド 7 枚38:30EN
Theo - t3․gg· 2026年10月14日Theo 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.Geminiコーディングエージェント評価(Evals)+2
スライド 8 枚47:40EN
Theo - t3․gg· 2026年10月10日How 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.コーディングエージェントDeveloper productivitySoftware engineering
スライド 14 枚1:10:29EN
Theo - t3․gg· 2026年10月5日How 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.コーディングエージェントDeveloper productivitySoftware engineering
スライド 5 枚1:06:36EN
Theo - t3․gg· 2026年10月2日Theo’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.コーディングエージェントAgent orchestrationDeveloper productivity+2
スライド 6 枚30:58EN
Theo - t3․gg· 2026年9月29日GPT-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.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 7 枚31:46EN
Theo - t3․gg· 2026年9月29日Claude 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.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 6 枚28:41EN
Theo - t3․gg· 2026年9月25日How 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.コーディングエージェントPrompt optimizationAgent orchestration+2
スライド 8 枚40:14EN
Theo - t3․gg· 2026年9月23日Opus 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.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 7 枚27:53EN
Theo - t3․gg· 2026年9月22日Grok 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.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 8 枚1:02:53EN
Theo - t3․gg· 2026年9月14日Shopify’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 engineeringコーディングエージェントDeveloper productivity+2