The Modern Software Developer

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Ship production features 2x faster by using coding agents across research, planning, implementation, testing, and review workflows

Creator of Stanford's AI Coding Course

Mihail Eric

Created Stanford's first AI coding class. Former YC founder and Amazon AI lead. 

AI Software Development: From First Prompt to Production Code

Fractional Head of AI

Software Engineer

Staff Software Engineer

Sr AI Engineer

Image Processing Engineer & Solution Architect for Computational Imaging and AI

Director of engineering

Senior Software Engineer

Sr Software Engineer

Amazon

Stanford University

Y Combinator

Today many developers use AI, but few are maximally productive with it. I created Stanford's first AI software development class, and after building a YC-backed coding company and leading AI at Amazon, I've seen how top engineers integrate AI into production workflows. My techniques have been used to train 200+ Stanford engineers and industry professionals.My goal is simple: make you dramatically more productive writing software with AI than without it.In this course, you'll learn practical, end-to-end workflows for using AI in real-world development, not toy examples.We'll cover:<ul><li>Building production features with AI agents using the research → plan → implement → test workflow</li><li>Configuring an optimal AI native dev environment for your specific tech stack (IDE, code review, tool integrations, and beyond)</li><li>Setting up review and CI processes that catch AI errors, hallucinations, and slop before production</li><li>Enabling multiple agents to work together on the same codebase without conflict, accelerating software delivery and throughput</li></ul>If you're ready to write better code, ship to production faster, and stay in control of your coding agents, let's get started.

Increase developer productivity with AI-first, production-ready workflows

Configure optimal AI-first developer environments to improve your coding output

Learn how to navigate the ecosystem of cutting-edge AI developer tools 

Exercise effective strategies for prompting and building with coding agents

Reduce hallucinations, software errors, and AI slop all while shipping faster

Become a manager of coding agents so you can keep many agents productive 

Develop a deep intuition for how AI coding platforms work under-the-hood

Engineers who want to increase their productivity with AI-generated code while making it actually production grade.

Engineering managers who want to ensure their teams aren't being left behind when it comes to the new way of developing software.

Those confused about how to develop with AI the right way (how to maintain context and manage multiple agents without compromising code)

Ship Production Code 2x Faster With AI

Learn the 5-stage approach teams use to ship features 2x faster than manual development

Apply a Proven Framework for AI Coding

See a live demonstration of how to ship a complex software feature using careful prompting

In-depth Feature Building Walkthrough

We'll apply proven development techniques that consistently keep coding agents on track for any task.

Learn directly from The Modern Software Developer

The Modern Software Developer

Courses

AI Software Development: From First Prompt to Production Code

Lightning Lessons

Ship Production Code 2x Faster With AI