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Adam Gospodarczyk – MEGA Dev is a four-week online training program designed to help experienced developers move beyond basic AI-assisted coding and learn how to build reliable, scalable, and autonomous AI agent systems. Architected by Adam Gospodarczyk, the program combines practical engineering techniques, agentic workflows, and hands-on projects to help developers use AI more effectively throughout the software development lifecycle.

What You’ll Learn

• Generative AI Fundamentals: Understand how AI models work, their limitations, context processing, and techniques for steering model behavior.

• AI Agent Development: Build specialized AI agents using instructions, tools, memory, agent loops, and structured workflows.

• Context Engineering: Organize project files, specifications, knowledge bases, and reusable skills to improve the accuracy and consistency of AI-generated work.

• Agentic Engineering Workflows: Design repeatable workflows that combine AI coding tools, automated verification, planning, and human oversight.

• Multi-Agent Collaboration: Coordinate specialized agents, delegate tasks, manage parallel execution, and orchestrate complex development projects.

• AI Product Development: Use AI agents to solve real product problems while balancing implementation quality, scope, security, and user requirements.

• Reliability and Evaluation: Implement guardrails, testing, observability, and evaluation processes to identify errors and maintain control over AI-generated results.

• Autonomous Systems and Automation: Build systems that respond to events, execute tasks, recover from failures, and improve through feedback loops.

Course Curriculum

The program includes 20 lessons delivered over four weeks, with video instruction, written learning materials, practical repositories, and weekly live workshops.

1. Core – Generative AI Foundations: Explore model mechanics, context management, knowledge systems, AI harnesses, and workflow design.

2. Agents – Building Intelligent Agents: Learn agent architecture, tools, memory, MCP, agent skills, multi-agent collaboration, and reliability controls.

3. Product – AI-Assisted Product Engineering: Apply agentic workflows to product development, engineering decisions, implementation, and quality assurance.

4. Takeoff – Autonomous Systems: Build portable agent systems, orchestrate agent teams, automate work beyond coding, and implement self-improving engineering processes.

Key Features

• 20 structured video lessons across four weeks.

• Four live workshops with Q&A sessions.

• Real code repositories, examples, and practical challenges.

• A Discord community for interaction with instructors and other developers.

• Twelve skill cards earned through the program.

• A MEGA Developer certificate awarded after collecting all twelve skill cards.

• Twelve months of access to course materials.

• Company invoices, installment payments, and team discounts for eligible purchases.

Who Is This Course For?

MEGA Dev is primarily designed for mid-level and senior developers who already work with AI coding tools such as Cursor, Codex, Claude Code, or similar agent-based development environments.

It is particularly relevant to software engineers, technical leads, and product developers who want to improve their ability to delegate complex work to AI agents, automate engineering processes, and maintain reliable control over the final output. The program is aimed at developers with existing AI experience rather than complete beginners.

Instructor and Program Architect

Adam Gospodarczyk is a Polish AI educator and developer known for his work in practical AI education and the AI_devs training programs. For MEGA Dev, he is responsible for the program’s architecture, curriculum design, learning framework, and practical assets, working alongside instructors Theo Browne, Angie Jones, Kent C. Dodds, and John Lindquist.

 

In summary: MEGA Dev is an advanced AI engineering program focused on building dependable agent-based development systems. Rather than teaching isolated prompts or individual AI tools, it emphasizes context engineering, agent orchestration, automation, evaluation, and repeatable workflows that help developers deliver complete software outcomes.

 

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