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VercelAGENTS.mdvercel/next.js/crates/AGENTS.md
Read and follow the shared turbo_tasks caching and invalidation guidance. Those turbo_tasks rules also apply throughout crates/ and all its subdirectories when developing with turbo_tasks.
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VercelAGENTS.mdvercel/next.js/evals/AGENTS.md
Do not export evals with "publish": false to next-evals-oss or publish their results on nextjs.org/evals.
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VercelAGENTS.mdvercel/next.js/evals/evals/agent-062-pokedex-dev-loop/AGENTS.md
Before any Next.js work, find and read the relevant doc in app/node_modules/next/dist/docs/. Your training data is outdated — the docs are the source of truth.
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VercelAGENTS.mdvercel/next.js/evals/next-upgrade/apps/member-dashboard/next-13/AGENTS.md
You may edit this application and create local commits. Do not push or create pull requests. Use npm. Preserve the behavior described in README.md.
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VercelAGENTS.mdvercel/next.js/.github/AGENTS.md
Set permissions: {} at the workflow level and grant the minimum needed per-job. Prefer GitHub-provided (actions/*) and Vercel-owned actions. For third-party actions: ${{ ... }} is interpolated into the script before bash runs, so untrusted values (PR title, branch name, issue body) can break out and execute. Route them through an env var and quote on use:
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VercelAGENTS.mdvercel/next.js/packages/next/AGENTS.md
This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in dist/docs/ before writing any code. Heed deprecation notices.
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VercelAGENTS.mdvercel/next.js/test/AGENTS.md
Tests for behavior that affects deployed applications must live in test/e2e/ and exercise the real deployment path. This applies to new features and regressions. Reserve test/production/ for behavior inherently specific to self-hosted servers or the local CLI. Simulating minimal mode is an exception. Use private switches such as NEXT_PRIVATE_MINIMAL_MODE and NEXT_PRIVATE_TEST_HEADERS only when a real deployment cannot exercise the protocol invariant under test. Explain that constraint in the test. A simulation must not replace real deployment coverage of behavior that…
VercelAGENTS.mdvercel/next.js/turbopack/AGENTS.md
Turbopack is a general-purpose bundler that is built and designed for Next.js, but is not necessarily Next.js-specific. Keep Next.js concepts out of it. These rules apply throughout this directory tree when developing with turbo_tasks:
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MicrosoftAGENTS.mdmicrosoft/PowerToys/AGENTS.md
Top-level AI contributor guidance for developing PowerToys - a collection of Windows productivity utilities
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OpenAIAGENTS.mdopenai/codex/codex-rs/code-mode-host/AGENTS.md
Do not use timeouts or sleeps to synchronize tests. Wait for explicit signals or observable state; let the test runner enforce test-case timeouts.
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OpenAIAGENTS.mdopenai/codex/codex-rs/exec-server/src/sandbox_integrity/AGENTS.md
These checks currently emit telemetry only. Findings and preparation errors must not change sandbox construction, permissions, approvals, or command execution. Supported backends are Seatbelt, bubblewrap, and MXC; legacy Windows is out of scope. - Backends supply complete dependency inventories and interpret the request's original filesystem policy: resolve command temp directories and MXC volumes, and reuse the backend's deny-glob expansion where enforcement expands globs. - The runner prepares dependency facts and invokes each checker per dependency. Checkers remain independent of inventories…
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OpenAIAGENTS.mdopenai/codex/codex-rs/rollout-trace/AGENTS.md
Only the exact Codex binary that wrote a diagnostic trace bundle runs its reducer. There is no cross-binary replay compatibility, even between builds with identical version numbers. - When changing a raw event or payload, update its writer, reducer, and affected fixtures together. Do not add migrations, legacy parsers, or tests for another binary's traces. A fallback needs a case the current writer can produce, such as a recording interrupted between two events. - Treat state.json as the consumer API…
OpenAIAGENTS.mdopenai/codex/codex-rs/tui/src/bottom_pane/AGENTS.md
When changing the paste-burst or chat-composer state machines in this folder, keep the docs in sync: - Update the relevant module docs (chat_composer.rs and/or paste_burst.rs) so they remain a readable, top-down explanation of the current behavior. - Keep implementations/docstrings aligned unless a divergence is intentional and documented. Practical check: - After edits, sanity-check that docs mention only APIs/behavior that exist in code (especially the Enter/newline paths and disable_paste_burst semantics).
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/AGENTS.md
This repository contains a comprehensive 21-lesson curriculum teaching Generative AI fundamentals and application development. The course is designed for beginners and covers everything from basic concepts to building production-ready applications. Key Technologies: - Python 3.9+ with libraries: openai, python-dotenv, tiktoken, azure-ai-inference, pandas, numpy, matplotlib - TypeScript/JavaScript with Node.js and libraries: openai (Azure OpenAI via the v1 endpoint + Responses API), @azure-rest/ai-inference (Microsoft Foundry Models) - Azure OpenAI Service, OpenAI API, and Microsoft Foundry Models (GitHub Models is retiring end of…
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/translations/ar/AGENTS.md
يحتوي هذا الريبو على منهج شامل مكون من 21 درسًا يشمل تعليم أساسيات الذكاء الاصطناعي التوليدي وتطوير التطبيقات. الدورة مُصممة للمبتدئين وتغطي كل شيء من المفاهيم الأساسية إلى بناء تطبيقات جاهزة للإنتاج. التقنيات الرئيسية: - بايثون 3.9+ مع المكتبات: openai، python-dotenv، tiktoken، azure-ai-inference، pandas، numpy، matplotlib - تايبسكريبت/جافا سكريبت مع Node.js والمكتبات: openai (Azure OpenAI عبر نقطة النهاية v1 وResponses API)، @azure-rest/ai-inference (نماذج Microsoft Foundry) - خدمة Azure OpenAI، OpenAI API، ونماذج Microsoft Foundry (نماذج GitHub ستتوقف نهاية يوليو 2026)…
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/translations/bg/AGENTS.md
Това хранилище съдържа обширна учебна програма от 21 урока, която преподава основите на Генеративния AI и разработката на приложения. Курсът е предназначен за начинаещи и обхваща всичко от базови концепции до изграждане на приложения готови за продукция. Ключови технологии: - Python 3.9+ с библиотеки: openai, python-dotenv, tiktoken, azure-ai-inference, pandas, numpy, matplotlib - TypeScript/JavaScript с Node.js и библиотеки: openai (Azure OpenAI чрез v1 endpoint + Responses API), @azure-rest/ai-inference (Microsoft Foundry модели) - Azure OpenAI Service, OpenAI API и Microsoft Foundry модели…
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/translations/bn/AGENTS.md
এই রেপোজিটরিতে রয়েছে ২১টি পাঠের বিস্তৃত পাঠ্যক্রম যা জেনারেটিভ AI-এর মূল বিষয়বস্তু এবং অ্যাপ্লিকেশন উন্নয়ন শেখায়। কোর্সটি নতুনদের জন্য ডিজাইন করা হয়েছে এবং বেসিক ধারণা থেকে শুরু করে প্রোডাকশন-রেডি অ্যাপ্লিকেশন তৈরি পর্যন্ত সবকিছু আচ্ছাদিত করে। মূল প্রযুক্তি: - Python 3.9+ লাইব্রেরিসহ: openai, python-dotenv, tiktoken, azure-ai-inference, pandas, numpy, matplotlib - TypeScript/JavaScript Node.js এবং লাইব্রেরিসহ: openai (Azure OpenAI v1 endpoint + Responses API), @azure-rest/ai-inference (Microsoft Foundry Models) - Azure OpenAI সার্ভিস, OpenAI API, এবং Microsoft Foundry Models (GitHub Models ২০২৬ সালের জুলাই…
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/translations/cs/AGENTS.md
Toto úložiště obsahuje rozsáhlý 21-lekcí učební plán učící základy generativní AI a vývoje aplikací. Kurz je navržen pro začátečníky a pokrývá vše od základních konceptů až po vytváření aplikací připravených pro produkci. Klíčové technologie: - Python 3.9+ s knihovnami: openai, python-dotenv, tiktoken, azure-ai-inference, pandas, numpy, matplotlib - TypeScript/JavaScript s Node.js a knihovnami: openai (Azure OpenAI přes v1 endpoint + Responses API), @azure-rest/ai-inference (Microsoft Foundry Models) - Azure OpenAI Service, OpenAI API a Microsoft Foundry Models (GitHub Models je na konci…
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/translations/da/AGENTS.md
Dette repository indeholder et omfattende kursus med 21 lektioner, der underviser i grundlæggende generativ AI og applikationsudvikling. Kurset er designet til begyndere og dækker alt fra grundlæggende koncepter til opbygning af produktionsklare applikationer. Nøgle-teknologier: - Python 3.9+ med biblioteker: openai, python-dotenv, tiktoken, azure-ai-inference, pandas, numpy, matplotlib - TypeScript/JavaScript med Node.js og biblioteker: openai (Azure OpenAI via v1-endpoint + Responses API), @azure-rest/ai-inference (Microsoft Foundry Models) - Azure OpenAI Service, OpenAI API og Microsoft Foundry Models (GitHub Models udfases ved udgangen af…
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MicrosoftReads credentialsAGENTS.mdmicrosoft/generative-ai-for-beginners/translations/de/AGENTS.md
Dieses Repository enthält einen umfassenden Lehrplan mit 21 Lektionen, der die Grundlagen der Generativen KI und die Anwendungsentwicklung vermittelt. Der Kurs ist für Anfänger konzipiert und deckt alles von den Grundkonzepten bis hin zum Aufbau produktionsreifer Anwendungen ab. Wichtige Technologien: - Python 3.9+ mit Bibliotheken: openai, python-dotenv, tiktoken, azure-ai-inference, pandas, numpy, matplotlib - TypeScript/JavaScript mit Node.js und Bibliotheken: openai (Azure OpenAI über den v1-Endpunkt + Responses API), @azure-rest/ai-inference (Microsoft Foundry Modelle) - Azure OpenAI Service, OpenAI API und Microsoft Foundry…
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An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
Setup and test commands, code style, and the rules a new contributor would need to know.
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.
