Agent Ready: 技術部ãŒæŒ‘ã‚€AIエージェントå‰æã®æŠ€è¡“基盤ã¥ãã‚Š - Pepabo Tech Portal
ã“ã‚“ã«ã¡ã¯ã€ãƒšãƒ‘ボã§æŠ€è¡“部部長をã—ã¦ã„ã‚‹kenchanã§ã™ã€‚「閃光ã®ãƒã‚µã‚¦ã‚§ã‚¤ã€3作目ãŒå…¬é–‹ã•ã‚Œã‚‹ã¾ã§å¥åº·ã§ã„ã‚‹ãŸã‚ã«ã€é‹å‹•ã‚’å†é–‹ã—ã¾ã—ãŸã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€ãƒšãƒ‘ボ技術部ã®2026å¹´æ–¹é‡ã€ŒAgent Readyã€ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ç§ãŸã¡ãŒã“ã®æ–¹é‡ã«è‡³ã£ãŸèƒŒæ™¯ã¨ã€å…·ä½“çš„ã«ä½•ã‚’ã‚„ã‚ã†ã¨ã—ã¦ã„ã‚‹ã®ã‹ã‚’ãŠä¼ãˆã§ãã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ 技術部ã¯ã€GMOペパボã®å…¨äº‹æ¥éƒ¨é–€ã«ã‚ãŸã‚‹ã‚¤ãƒ³ãƒ•ãƒ©ãƒ»ãƒ‡ãƒ¼ã‚¿åŸºç›¤ãƒ»æƒ…å ±ã‚·ã‚¹ãƒ†ãƒ ï¼ˆã‚³ãƒ¼ãƒãƒ¬ãƒ¼ãƒˆã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ï¼‰ã®3ã¤ã‚’横æ–çš„ã«æ‹…ã†éƒ¨é–€ã§ã™ã€‚ãƒãƒªãƒãƒƒãƒ—ï¼ã‚„ムームードメインã¨ã„ã£ãŸãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã‚µãƒ¼ãƒ“スã€ã‚«ãƒ©ãƒ¼ãƒŸãƒ¼ã‚·ãƒ§ãƒƒãƒ—・minne・SUZURIãªã©ã®EC・ãƒãƒ³ãƒ‰ãƒ¡ã‚¤ãƒ‰ãƒ—ラットフォームã®ã‚¤ãƒ³ãƒ•ãƒ©é‹ç”¨ã‹ã‚‰ã€å…¨ç¤¾ã®ãƒ‡ãƒ¼ã‚¿åŸºç›¤ã®æ•´å‚™ã€ç¤¾å†…ITã®æ•´å‚™ãƒ»é‹ç”¨ã¾ã§ã€å„事æ¥éƒ¨ãŒãƒ—ãƒãƒ€ã‚¯ãƒˆé–‹ç™ºã«é›†ä¸ã§ãるよã†æŠ€è¡“çš„ãªåœŸå°ã‚’支ãˆã¦ã„ã¾ã™ã€‚ ã¯ã˜ã‚ã«: ãªãœä»Šã€ç§ãŸã¡ã¯ã€Œå‰æã€ã‚’書ãæ›ãˆã‚‹ã®ã‹
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GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
Compile classical ML models to native C. Serve them in microseconds. Documentation · Changelog · PyPI · Technical Paper · Agent Skill Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, or ONNX (tree ensembles, linear models, SVMs) — runs it through a multi-pass optimizing compiler, and emits a self-contained C99 inference artifact with zero runtime dependencies. A built-i
Agentic Engineering Patterns - Simon Willison's Weblog
Sponsored by: Augment Code — Agent Orchestration. Living Specs. Your favorite agents. Build with Intent. Agentic Engineering Patterns Patterns for getting the best results out of coding agents like Claude Code and OpenAI Codex. See my introduction for more on this project. Principles Writing code is cheap now Hoard things you know how to do Testing and QA Red/green TDD First run the tests Understa
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Redditã§è©±é¡Œã«ãªã£ã¦ã„ãŸãƒã‚¹ãƒˆã‚’訳ã—ã¦ã¿ãŸã€‚ 僕ã¯è‡ªåˆ†ãŒæ€ã£ã¦ã„ãŸã»ã©ã¯é ãŒã‚ˆããªã‹ã£ãŸã¨ã„ã†é«˜æ ¡ç”Ÿã®ç‹¬ç™½ã«ãŸã„ã—ã¦ã¤ã‘られãŸã“ã®ã¡ã‚‡ã£ã¨é•·ã‚ã®è¿”ä¿¡ãŒã¨ã¦ã‚‚的確ã§ç¤ºå”†ã«å¯Œã‚“ã§ãŠã‚Šã€å¤šãã®äººã®ã“ã“ã‚ã‚’ã¤ã‹ã‚“ã§ã„ã¾ã—ãŸã€‚ç§è‡ªèº«ã€å‹‡æ°—ã¥ã‘られるã¨ã„ã†ã‹èº«ã«ã¤ã¾ã•ã‚Œã‚‹ã¨ã“ã‚ãŒã‚ã‚Šã€å¿˜ã‚Œãªã„ãŸã‚ã«ç¿»è¨³ã‚’ã—ã¦ã¿ã¾ã—ãŸã€‚ ã¾ãšã¯é«˜æ ¡ç”Ÿã®ç‹¬ç™½ã‹ã‚‰ã€‚ 僕ã¯è‡ªåˆ†ãŒæ€ã£ã¦ã„ãŸã»ã©ã¯é ãŒã‚ˆããªã‹ã£ãŸ 僕ã¯ã„ã¾é«˜æ ¡ã®æœ€çµ‚å¦å¹´ã§ã€æ¬¡ã®ï¼–月ã«å’æ¥ã™ã‚‹äºˆå®šã§ã™ã€‚é«˜æ ¡ã®æˆç¸¾ã¯ã€ã„ã¾ã¾ã§ãšã£ã¨Aã‚’å–ã‚Šã¤ã¥ã‘ã¦ã„ã¾ã—ãŸãŒã€åŽ»å¹´å§‹ã‚ã¦Bã‚’ã¨ã£ã¦ã—ã¾ã„ã¾ã—ãŸã€‚ã‚‚ã—ãã®BãŒãªã‘ã‚Œã°ã€å’æ¥ç”Ÿç·ä»£ã«é¸ã°ã‚Œã¦ã„ãŸã§ã—ょã†ã€‚ ç·ä»£ã«ãµã•ã‚ã—ã„ã®ã¯è‡ªåˆ†ã ã€ã¤ã¾ã‚Šã‚¯ãƒ©ã‚¹ã§æœ¬å½“ã«ä¸€ç•ªé ãŒã„ã„ã®ã¯è‡ªåˆ†ã ã¨æ€ã„ãŸã„ã§ã™ã€‚ã§ã‚‚ã“ã®ä¸€å¹´ã§ã€åƒ•ã«ãã‚Œã»ã©ã®çŸ¥æ€§ã¯ãªã„ã—ã€åƒ•ã‚ˆã‚Šé ã®ã„ã„人ã¯ãŸãã•ã‚“ã„ã‚‹ã‚“ã ã¨ã„ã†ã“ã¨ã‚’æ€ã„知らã•ã‚Œã¾ã—ãŸã€‚ ã¾ãŸåƒ•ã¯ã€è‡ªåˆ†
ã¯ã˜ã‚ã¦ã®ã«ã(2026-02-28)
_ 知性ã«ã¤ã„㦠増田ã ã£ãŸã¨æ€ã†ã‚“ã ã‘ã©ã€ã€Œã¼ãã¯æ€ã£ãŸã‚ˆã‚Šã‹ã—ã“ããªã‹ã£ãŸã€çš„ãªã®ãŒã‚ã£ã¦ã€ãˆãƒ¼ã¨å†…容を全ã¦å¿˜ã‚Œã¦ã—ã¾ã£ãŸã€‚ã™ã¹ã¦å¿˜ã‚Œã¦ã—ã¾ã£ãŸè©±ã§å§‹ã‚ã‚‹ã®ã¯äººã«èªã¾ã›ã‚‹æ–‡ç« ã¨ã—ã¦ã¯ã‚«ã‚¹ã ãŒã€ã“ã“ã¯åƒ•ã®å€‹äººçš„ãªè¨˜éŒ²ã§ã™ ã¾ãã¨ã«ã‹ãã€ã€Œã¼ãã¯æ€ã£ãŸã‚ˆã‚Šã‹ã—ã“ããªã‹ã£ãŸã€ã¨æ„Ÿã˜ã¦ã„る期間ãŒã€ã‚ã‚Šã¨æœ€è¿‘ã€ä¸€å®šæœŸé–“ã‚ã£ã¦ã€ãªã‚“ã‹ãã‚‚ãも「ã‹ã—ã“ã„ã€ã¦â€¦â€¦ï¼Ÿãªã‚“ã ã£ã‘ã€ã¿ãŸã„ã«ãªã£ãŸãŒä»Šã€ã¨ã„ã†è©±ã§ã™ã€‚ã“ã®ã‚らã™ã˜ã§ã¯æ„味ä¸æ˜Žãªæ°—ãŒã™ã‚‹ã€‚ã©ã“ã‹ã‚‰æ›¸ãã¨è‡ªåˆ†ãŒæº€è¶³ã§ãる表ç¾ã«ãªã‚‹ã®ã‹ã€ã‚ˆãã‚ã‹ã‚‰ã‚“ã®ã§ã€é©å½“ã«æ›¸ã 「ã‹ã—ã“ã„ã€ã»ã†ã‹ã‚‰æ›¸ã„ã¦ã¿ã‚ˆã†ã€‚ã¼ãã¯ã€ŒXXã«ã¤ã„ã¦ã©ã†æ€ã†ï¼Ÿã€ã«å¯¾ã—ã¦ã€ã‚¹ãƒ©ã‚¹ãƒ©ã¨ã€ŒXXã¯ã»ã’ã»ã’ã€ãµãŒãµãŒã€ã¨æ¼”説ã™ã‚‹ã‚ˆã†ã«è‡ªåˆ†ã®è€ƒãˆã‚’言ãˆã‚‹å ´åˆãŒã€ãã‚Œãªã‚Šã«å¤šã„ã€ã¨è‡ªèªã—ã¦ã„る。ãŒã€ã“ã‚Œãªã‚“ã§ã‚¹ãƒ©ã‚¹ãƒ©è¨€ãˆã‚‹ã‹ã£ã¦ã„ã†ã¨ã€å‰ã‚‚ã£ã¦è€ƒãˆã¦ã‚ã£ãŸã‹ã‚‰ã€ãªã‚“ã よã。å‰ã‚‚ã£ã¦è‡ªåˆ†ã®ãªã‹
Markdownã‹ã‚‰ãšã‚“ã もん動画を作æˆã™ã‚‹ãƒ„ールを作ã£ãŸ - è©©ã¨å‰µä½œãƒ»æ€ç´¢ã®ã²ã‚ã°
ã¯ã„ã€ä¸–ã¯ã¾ã•ã«å‹•ç”»æ™‚代ã§ã™ã€‚ã¨ã„ã†ã‚ã‘ã§ä»Šæ—¥ã¯ãšã‚“ã もん動画を作æˆã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ Remotionã¨ã„ã†ãƒ„ールã«ä¹—ã‚Œã°Reactã§å‹•ç”»ãŒä½œã‚Œã‚‹ã¨è©•åˆ¤ãªã®ã§ã€ã“れを使ã†ã“ã¨ã«ã™ã‚‹ã€‚先行事例ã¨ã—㦠Claude Codeã§5分ã§ãšã‚“ã もん解説動画を作るï¼ï½œNaoki |電電猫猫 ãŒæœ‰åãªã‚ˆã†ã§ã€ã“ã‚Œã¯Claude CodeãŒã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ã«ãªã£ã¦ã¦ã™ã”ãé¢ç™½ã„。自分ã¯ã‚½ãƒ¼ã‚¹ã®åŽŸç¨¿ã‚’Markdownã¨ã—ã€ã‚¨ãƒ‡ã‚£ã‚¿ã§æ‰‹ç›´ã—ã§ããŸã»ã†ãŒã†ã‚Œã—ã„ã‹ãªã£ã¨æ€ã£ãŸã®ã§ã€ãã®ã‚ˆã†ãªæ„Ÿã˜ã«ã—ãŸã€‚ GitHub - motemen/markdown-to-zundamon ã“ã‚“ãªåŽŸç¨¿ã‚’ã‚‚ã¨ã«ã€ã“ã‚“ãªå‹•ç”»ãŒä½œã‚Œã¾ã™ã€‚ 原稿を書ã ã ã„ãŸã„READMEã«æ›¸ã„ã¦ã‚ã‚‹ã‘ã©ã€ä»¥ä¸‹ã®ã‚ˆã†ãªæ„Ÿã˜ã®Frontmatterã¤ãMarkdownãŒåŽŸç¨¿ã«ãªã‚‹ã€‚引用部分ã¯ç”»é¢ã«è¡¨ç¤ºã•ã‚Œã€åœ°ã®æ–‡ãŒã‚»ãƒªãƒ•ã€‚ --- characte
Qwen3.5 - ãƒãƒ¼ã‚«ãƒ«ã§å®Ÿè¡Œã™ã‚‹æ–¹æ³•ã‚¬ã‚¤ãƒ‰ | Unsloth Documentation
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Introducing Mercury 2 – Inception
The fastest reasoning LLM, powered by diffusionToday, we're introducing Mercury 2 — the world's fastest reasoning language model, built to make production AI feel instant. Why speed matters more nowProduction AI isn't one prompt and one answer anymore. It's loops: agents, retrieval pipelines, and extraction jobs running in the background at volume. In loops, latency doesn’t show up once. It compou
よりå°ã•ãã€ã‚ˆã‚Šé€Ÿãã€ã‚ˆã‚Šå®‰ä¾¡ã«ï¼šJina Rerankers Turbo 㨠Tiny ã®ç´¹ä»‹
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Claude Codeã§å®Ÿè·µã™ã‚‹ä»•æ§˜(スペック)駆動開発入門 - yoshidashingo
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Writing code is cheap now - Agentic Engineering Patterns
Sponsored by: Augment Code — Agent Orchestration. Living Specs. Your favorite agents. Build with Intent. The biggest challenge in adopting agentic engineering practices is getting comfortable with the consequences of the fact that writing code is cheap now. Code has always been expensive. Producing a few hundred lines of clean, tested code takes most software developers a full day or more. Many of
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https://justin.poehnelt.com/posts/rewrite-your-cli-for-ai-agents/
GitHub - googleworkspace/cli: Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
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