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Here’s What You Get:
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:
- Fundamentals of Coding Agents
- AI Software Development Workflow
- Human-Agent Engineering
- AI Development Infrastructure
- Production Code Review
- Multi-Agent Collaboration
- Context Engineering
- 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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