AI Software Development: From First Prompt to Production Code

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AI Software Development: From First Prompt to Production Code Reviews & Product Details

This course teaches engineers a full research → plan → implement → test → review workflow for shipping production-grade AI-assisted code, not toy examples. It covers configuring AI-native dev environments (Cursor, Claude Code, Windsurf), setting up review/CI processes to catch AI hallucinations and errors, and coordinating multiple coding agents on the same codebase without conflicts. Notably, it also has students build their own coding agent and MCP server from scratch to understand how these tools actually work under the hood.

Best For

Developers wanting production-grade AI code Those confused about multi-agent workflows Engineering managers modernizing their teams Engineers using AI for coding

Not For

Non-technical roles, no coding background People unable to attend live sessions Those wanting toy example tutorials Complete programming beginners, no experience

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About the Creator

Mihail Eric

Mihail Eric created Stanford's first AI software development course, "The Modern Software Developer." Currently Head of AI at Monaco (backed by Human Capital, Benchmark, and Founders Fund), he previously led AI at Amazon Alexa, founded a YC-backed AI coding company, and led Confetti AI, a machine learning education startup, until its 2022 acquisition.

Not publicly disclosedTechnology & Software Engineering Education

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Contact

Contact form: maven.com/the-modern-software-developer/ai-course

Address: Not publicly disclosed

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