AI Software Development: From First Prompt to Production Code

ABOUT THE COURSE:

This practical course will help developers, team leads, and engineers move from the occasional use of AI tools to full-fledged AI-first development , speeding up the release of functionality and improving code quality. The foundation of the program is based on real work experience with Stanford, Y Combinator, and engineering teams at Amazon.

About the Course

The program is focused on integrating AI assistants and agent systems into daily development processes—not in theory, but through real production-level scenarios. You will learn to design solutions, write and test code, conduct reviews, and maintain high development quality using modern AI tools.

What You Will Learn

AI-first Approach to Development

• Proper task setting and forming working prompts.

• Progression through the cycle "research → planning → implementation → testing → review" with the participation of AI agents.

• Working with production cases, not training examples.

Building an Effective AI Development Environment

• Setting up IDE and tools for AI-oriented work.

• Integrating assistants into the existing technological stack.

• Organizing safe and predictable code generation.

Quality Control and Process Automation

• Creating CI/CD pipelines for detecting errors and hallucinations before entering production.

• Forming requirements and checks for AI-generated code.

• Working with testing, linters, and automated reviews.

Orchestrating AI Agents

• Collaborative work of multiple assistants on a single code base.

• Avoiding conflicts, loss of context, and degradation of code quality.

• Designing workflows involving teams of agents.

Developing Your Own AI Tools

• Creating AI agents for specific company tasks.

• Developing MCP servers and integrating with platforms like Cursor and Claude Code.

• Understanding the internal mechanisms of modern AI systems.

Outcomes of the Course

After completing the training, you will be able to significantly speed up development, enhance code stability and predictability, and establish workflows where artificial intelligence truly boosts team productivity. Graduates of the course:

• create and deliver software products faster;

• effectively manage and configure AI agents;

• significantly reduce the number of errors and defects;

• build a modern engineering culture with AI at the center of development.

Who This Course Is For

The course is suitable for developers aiming to improve their work with AI code, technical leads, engineering managers, and all specialists who want to master modern methods of AI-first software development.