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Overview

Mihail Eric – AI Software Development: From First Prompt to Production Code is an intensive cohort-based course that teaches experienced software engineers how to build production-ready software using modern AI coding agents. Rather than focusing on simple code completion or “vibe coding,” Mihail Eric presents a complete AI-first development methodology covering planning, implementation, testing, code review, and multi-agent collaboration.

The curriculum is based on the AI software engineering course Mihail created at Stanford University and incorporates lessons from his experience as a former Amazon AI technical lead, Y Combinator founder, and Head of AI at Monaco.

What You’ll Learn

• Build production features using AI coding agents
• Apply the Research → Plan → Implement → Test → Review workflow
• Configure AI-native development environments (Cursor, Claude Code, Windsurf, and others)
• Design prompting strategies for large codebases
• Reduce hallucinations and low-quality AI-generated code
• Build automated review and CI pipelines for AI-assisted development
• Coordinate multiple AI coding agents on the same repository
• Understand how coding agents work internally
• Build your own coding agent and Model Context Protocol (MCP) server
• Evaluate and choose the right AI developer tools for different use cases

Course Curriculum

The live program spans 4 weeks with:

• 8 live sessions
• 14 structured lessons
• 4 hands-on coding projects
• Weekly office hours
• Homework assignments with walkthroughs

Major topics include:

1. Fundamentals of Coding Agents
2. AI Software Development Workflow
3. Human-Agent Engineering
4. AI Development Infrastructure
5. Production Code Review
6. Multi-Agent Collaboration
7. Context Engineering
8. Building Custom Coding Agents and MCP Servers

What’s Included

Students receive:

• 8+ hours of live instruction
• Interactive coding sessions
• Weekly office hours
• Four practical coding assignments
• Lifetime access to recordings
• Lifetime access to course materials
• Private Discord community
• Certificate of completion
• Maven Guarantee for eligible enrollments

Who It’s For

The course is designed for:

• Professional software engineers
• Senior developers
• Technical leads
• Engineering managers
• AI engineers
• Full-stack developers
• Startup founders building AI products
• Teams adopting AI-assisted software development

Pros

• Focuses on real-world production engineering rather than beginner AI tutorials.
• Taught by the creator of Stanford’s first AI software development course.
• Covers the complete software lifecycle, from planning through deployment.
• Strong emphasis on engineering quality, testing, and maintainability.
• Includes practical projects and direct instructor interaction.
• Explains the reasoning behind AI coding systems instead of treating them as black boxes.
• Lifetime access to recordings and an active developer community.

Cons

• Premium price point compared with most AI coding courses.
• Best suited to developers with existing software engineering experience.
• Requires several hours of work each week for four weeks.
• Less relevant for non-technical audiences or beginner programmers.

Key Takeaways

Unlike many AI coding courses that emphasize prompt engineering alone, AI Software Development: From First Prompt to Production Code teaches a comprehensive engineering system for shipping reliable software with AI. Students learn how to integrate coding agents into every stage of development, establish safeguards against AI-generated errors, and manage multiple AI agents efficiently on production codebases. Its combination of live instruction, practical projects, and production-focused workflows makes it particularly valuable for experienced developers and engineering leaders preparing for AI-native software development.

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