필터 결과
14개정렬
38:47EN
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.
31:47ENTheo - t3․gg· 2026년 10월 18일Theo on Asking Agents for Outcomes and Building the Tools They NeedTheo Browne · Ping LabsA tool-call report, a troubleshooting playbook and connected data show how prompting can reshape product engineering.
41:32ENTheo - t3․gg· 2026년 9월 22일Using Fable 5.1 for Longer Coding TasksTheo Browne · T3Theo Browne shares how he prompts coding agents, sets end states and uses reviews and tests to support longer-running work.
33:48ENTheo - 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.
51:15ENTheo - t3․gg· 2026년 8월 11일How Theo Refined His AGENTS.md and Skills From Real Agent FailuresTheo Browne · t3.ggTheo Browne explains how he audits agent sessions, writes project guidance and shares skills across machines without treating his configuration as a template.
0:31ENTheo - t3․gg· 2026년 8월 11일Theo on Writing Skill Descriptions as TriggersTheo Browne · Ping LabsTheo argues that a skill description should help a model decide when to load the skill, rather than contain the entire procedure.
19:12ENTheo - t3․gg· 2026년 7월 21일Theo on Boris Cherny’s Advice for Engineering with AI AgentsTheo Browne · Ping LabsTheo argues that the skills behind good tooling, tests and onboarding remain valuable when agents join the development workflow.
36:00ENTheo - 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.
0:20ENTheo - t3․gg· 2026년 7월 6일Theo on Markdown Files as Instructions for Coding AgentsTheo Browne · Ping LabsA short observation about how agent tools can change the scale of a software idea.
37:56ENTheo - t3․gg· 2026년 5월 26일Claude Code, Codex, and Cursor: Three Approaches to AI CodingTheo Browne · T3Theo compares terminal-first coding agents, local verification, cloud execution, and the trade-offs behind their interfaces.
27:16ENTheo - t3․gg· 2026년 5월 21일GitHub’s Internal Repository Breach and the Nx Console Supply-Chain AttackTheo Browne · T3Theo examines a poisoned editor extension, stolen publishing credentials, and the difficult trade-offs around automatic updates.
39:05ENTheo - t3․gg· 2026년 5월 19일Why GitHub Copilot Changed Its Billing for Agent WorkflowsTheo Browne · T3Theo explains why one agent request can consume vastly different resources, and what that means for subscription pricing.
45:51ENTheo - t3․gg· 2026년 5월 14일Claude Subscription Credits and the Debate Over Third-Party Agent ToolsTheo Browne · T3Theo explains why a separate programmatic allowance affects T3 Code and questions the line between interactive and automated use.
39:23ENTheo - t3․gg· 2026년 4월 13일How Coding Agents Work: Models, Tools and the Harness LoopTheo Browne · T3Theo Browne explains how a coding agent requests tools, builds context and repeats model calls, then demonstrates a small implementation.