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AGENTS.md examples from real projects

How real projects brief Codex, Cursor and every other agent that reads AGENTS.md.

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ar

microsoft/ai-agents-for-beginners/translations/ar/AGENTS.md

azure-identity)" ``` 2. **اختبر تنفيذ دفتر جوبيتر:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **تحقق من متغيرات البيئة:** ```bash

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / bg

microsoft/ai-agents-for-beginners/translations/bg/AGENTS.md

azure-identity)" ``` 2. **Тествайте изпълнението на ноутбук:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Проверете променливите на средата:** ```bash

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / bn

microsoft/ai-agents-for-beginners/translations/bn/AGENTS.md

azure-identity)" ``` ২. **নোটবুক কার্যকরীতা টেস্ট করুন:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` ৩. **পরিবেশ পরিবর্তনশীল যাচাই করুন:** ```bash

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / cs

microsoft/ai-agents-for-beginners/translations/cs/AGENTS.md

azure-identity)" ``` 2. **Otestujte spuštění notebooku:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Ověřte proměnné prostředí:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / da

microsoft/ai-agents-for-beginners/translations/da/AGENTS.md

Testvejledning Dette er et uddannelsesrepository med eksempel kode i stedet for produktionskode med automatiske tests. For at verificere din opsætning og ændringer: ### Manuel test 1. **Test Python miljø:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / de

microsoft/ai-agents-for-beginners/translations/de/AGENTS.md

Dateimuster: `*-python-agent-framework.ipynb` ## Testanweisungen Dies ist ein Lern-Repository mit Beispielcode, kein Produktionscode mit automatisierten Tests. Zur Überprüfung Ihrer Einrichtung und Änderungen: ### Manuelles Testen 1. **Python-Umgebung testen:** ```bash python --version

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / el

microsoft/ai-agents-for-beginners/translations/el/AGENTS.md

azure-identity)" ``` 2. **Δοκιμάστε την εκτέλεση notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Επαληθεύστε τις μεταβλητές περιβάλλοντος:** ```bash

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / en

microsoft/ai-agents-for-beginners/translations/en/AGENTS.md

agents visible in Foundry portal) - Production-ready with built-in observability - File pattern: `*-python-agent-framework.ipynb` ## Testing Instructions This is an educational repository with example code rather than production code with automated

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / es

microsoft/ai-agents-for-beginners/translations/es/AGENTS.md

Microsoft Foundry (01, 04, 05, 16), el repositorio incluye catálogos de prueba rápida bajo `tests/` que son ejecutados por el flujo de trabajo `.github/workflows/smoke-test.yml` mediante la acción [AI Smoke Test

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / et

microsoft/ai-agents-for-beginners/translations/et/AGENTS.md

azure-identity)" ``` 2. **Testi märkmiku täitmine:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Kontrolli keskkonnamuutujaid:** ```bash python -c "import

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / fa

microsoft/ai-agents-for-beginners/translations/fa/AGENTS.md

azure-identity)" ``` ۲. **تست اجرای دفترچه:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` ۳. **بررسی متغیرهای محیطی:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / fi

microsoft/ai-agents-for-beginners/translations/fi/AGENTS.md

azure-identity)" ``` 2. **Testaa muistiinpanojen suoritus:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Varmista ympäristömuuttujat:** ```bash python -c "import

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / fr

microsoft/ai-agents-for-beginners/translations/fr/AGENTS.md

Foundry) - Prêt pour la production avec observabilité intégrée - Modèle de fichier : `*-python-agent-framework.ipynb` ## Instructions de test Il s'agit d'un dépôt éducatif avec du code d'exemple plutôt

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / he

microsoft/ai-agents-for-beginners/translations/he/AGENTS.md

azure-identity)" ``` 2. **בדוק הרצת היומן:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **אמת את משתני הסביבה:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / hi

microsoft/ai-agents-for-beginners/translations/hi/AGENTS.md

identity)" ``` 2. **नोटबुक निष्पादन का परीक्षण करें:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **पर्यावरण चर सत्यापित करें:** ```bash

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / hr

microsoft/ai-agents-for-beginners/translations/hr/AGENTS.md

azure-identity)" ``` 2. **Testirajte izvršavanje bilježnice:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Provjerite varijable okruženja:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / hu

microsoft/ai-agents-for-beginners/translations/hu/AGENTS.md

ügynökként vannak telepítve (01, 04, 05, 16), a repo tartalmaz gyors teszt katalógusokat a `tests/` könyvtár alatt, amelyeket a `.github/workflows/smoke-test.yml` munkafolyamat futtat a [AI Smoke Test](https://github.com/marketplace/actions/ai-smoke-test) akció

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / id

microsoft/ai-agents-for-beginners/translations/id/AGENTS.md

azure-identity)" ``` 2. **Uji eksekusi notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Verifikasi variabel lingkungan:** ```bash python

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / it

microsoft/ai-agents-for-beginners/translations/it/AGENTS.md

Pronto per la produzione con osservabilità integrata - Modello di file: `*-python-agent-framework.ipynb` ## Istruzioni per il Test Questo è un repository educativo con codice d'esempio piuttosto che codice di produzione

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / ja

microsoft/ai-agents-for-beginners/translations/ja/AGENTS.md

framework|azure-ai|azure-identity)" ``` 2. **ノートブック実行のテスト:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **環境変数の検証:** ```bash python -c "import

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CLAUDE.md vs AGENTS.md

About AGENTS.md

What is AGENTS.md?

An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.

Where does it go?

At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.

What should it contain?

Setup and test commands, code style, and the rules a new contributor would need to know.

Does Claude Code read it?

Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.