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52 件
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スライド 2 枚23:21EN
Theo - t3․gg· 2026年6月20日Theo: 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
0:59EN
Theo - t3․gg· 2026年6月19日Theo: Design Agent Feedback Loops Instead of Every PromptTheoAfter mixed results with early loops, Theo describes why agent-driven review and iteration changed his mind about prompting.Agent orchestrationコーディングエージェントCode review & verification
0:36EN
Theo - t3․gg· 2026年6月18日Theo: Use One-Off Code to Coordinate Agent LoopsTheoA short example of an agent writing temporary code to trigger a workflow makes Theo rethink how models can prompt themselves.Agent orchestrationコーディングエージェントWorkflow automation
スライド 3 枚24:44EN
Theo - t3․gg· 2026年6月18日Theo on Coding Agent Loops: Review, Coordination, and CostTheoTheo describes moving from manually passing review feedback to dynamic agent workflows, including an overnight multi-PR experiment and its limitations.Agent orchestrationコーディングエージェントCode review & verification+2
スライド2:48EN
Theo - t3․gg· 2026年6月17日Theo on Claude Code Features He Wants Other Tools to AdoptTheoDespite his criticisms, Theo highlights skill scripts, context imports, side questions, workflows and remote control as ideas worth borrowing.コーディングエージェントAgent skillsAgent orchestration+1
スライド 4 枚27:47EN
Theo - t3․gg· 2026年6月17日Theo on Claude Code: Skills, Workflows, and Session ControlsTheoTheo walks through features he hopes other agent tools will adopt, including dynamic skill context and a code-generated PR audit.コーディングエージェントAgent skillsAgent orchestration+2
スライド 2 枚0:37EN
Theo - t3․gg· 2026年6月16日Theo Criticizes Fable 5 Access and Benchmark RestrictionsTheoTheo points to restricted access, fallback models and refusals in one coding benchmark as reasons for concern about Anthropic's Fable release.Anthropic安全性とガバナンスBenchmarks+1
スライド 5 枚29:32EN
Theo - t3․gg· 2026年6月15日Theo on Fable’s Safeguards, Data Retention, and TransparencyTheoTheo examines fallback behavior and an initially undisclosed safeguard, then corrects himself after finding an update and changelog.Anthropic安全性とガバナンスAI security+2
スライド0:45EN
Theo - t3․gg· 2026年6月15日Theo’s Explanation of Fable 5 and Mythos 5TheoTheo uses a two-door analogy to explain what he sees as the difference between the two Anthropic model offerings.Anthropicモデルと学習安全性とガバナンス
スライド 4 枚14:20EN
Theo - t3․gg· 2026年6月13日Theo on the June 2026 Fable and Mythos SuspensionTheoTheo reads Anthropic’s account of a US directive, examines the company’s security response and reflects on the policy questions it raises.AnthropicAI RegulationAI security+1
スライド0:28EN
Theo - t3․gg· 2026年6月13日Theo Reacts to the June 2026 Fable and Mythos SuspensionTheoTheo reads Anthropic's statement about a US export-control directive and reacts to the sudden loss of model access.AnthropicAI Regulation安全性とガバナンス
スライド2:30EN
Theo - t3․gg· 2026年6月12日Theo’s First Look at Fable 5 and Its BenchmarksTheoTheo discusses the relationship between Fable and Mythos, benchmark refusals and early coding results.AnthropicBenchmarksコーディングエージェント+1
0:38EN
Theo - t3․gg· 2026年6月12日Theo’s Fable Workflow Hit Subscription Limits and Usage CostsTheoTheo describes a costly usage-based run and an unfinished workflow that exhausted two session limits.AI cost & performanceコーディングエージェントAnthropic
スライド 4 枚30:40EN
Theo - t3․gg· 2026年6月12日Theo on Agent Workflows, Usage Limits, and Building MoreTheoTheo demonstrates multi-agent PR reviews, ranked work queues and remote development while reflecting on cost, verification and sleep.Agent orchestrationコーディングエージェントAI cost & performance+2
0:55EN
Theo - t3․gg· 2026年6月12日Theo on Why He Created the T3 StackTheoBefore his AI coverage, Theo built create-t3-app to make full-stack type safety easier to use and explain.Software engineeringDeveloper productivityProduct engineering
0:27EN
Theo - t3․gg· 2026年6月11日Theo on the Three Virtues of Great ProgrammersTheoLaziness, impatience and hubris sound like flaws, but Theo explains how they can motivate useful automation.Software engineeringDeveloper productivityCoding Culture
スライド 5 枚32:53EN
Theo - t3․gg· 2026年6月11日Theo’s Fable 5 Review: Benchmarks, Real Projects, and LimitsTheoTheo tests a newly released model on coding and creative work, highlighting impressive results alongside failures, safeguards and cost.AnthropicBenchmarksコーディングエージェント+2
スライド 3 枚23:21EN
Theo - t3․gg· 2026年6月9日Why the AI Compute Crunch Makes Early GPU Purchases ValuableTheoTheo traces the constraints behind AI computing, from chip fabrication and memory to storage and electricity.SemiconductorsインフラとデプロイAI cost & performance+1
スライド 4 枚44:57EN
Theo - t3․gg· 2026年6月8日Theo on Anthropic’s Case for Preparing for AI Self-ImprovementTheoAn examination of internal productivity evidence, uncertain AI futures and the challenge of coordinating a pause.AI SafetyAI researchエージェント工学+2
スライド 5 枚30:11EN
Theo - t3․gg· 2026年6月6日What 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.インフラとデプロイ開発ワークフローとテストOpen-source ecosystems+2
スライド 3 枚18:56EN
Theo - t3․gg· 2026年6月4日Why Programmer Laziness Still Matters in the Age of AITheo, Bryan CantrillTheo reads Bryan Cantrill’s essay on abstraction, code volume and the human responsibility to make software simpler.Software engineeringDeveloper productivityHuman-AI Collaboration+1
20:29EN
Theo - t3․gg· 2026年6月3日How Prompts Become Technical Debt in AI CodingTheoTheo examines outdated agent instructions, model-specific behavior and the value of regularly auditing project guidance.コーディングエージェントコンテキストエンジニアリング開発ワークフローとテスト+1
スライド 2 枚38:50EN
Theo - t3․gg· 2026年6月1日Can AI Help Less Experienced Engineers Grow?TheoTheo discusses coding assistants, team coordination and the difference between learning with AI and blindly relaying its output.Human-AI CollaborationCareer Growthコーディングエージェント+2
スライド 5 枚32:30EN
Theo - t3․gg· 2026年5月31日Theo Reviews DeepSWE and the Limits of Coding BenchmarksTheoAn investor in DataCurve examines its coding benchmark, the results shown in the video and their limitations.Benchmarks評価(Evals)コーディングエージェント+1
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