Master the art of building software with AI agents
Learn to leverage AI tools like Claude Code and Cursor to accelerate your development workflow
Understand how large language models work, from GPT architecture to tokenization. Explore the history of AI and learn what makes agentic AI different from simple autocomplete.
Learn to brainstorm effectively with AI, conduct market research using Perplexity, and create professional project documentation including PRDs, roadmaps, and MVP scopes.
Set up your AI-powered development environment. Compare Claude Code vs Cursor, learn the two-folder pattern for AI context, and explore MCP for extending AI capabilities.
A complete video walkthrough of all the AI development strategies covered in Units 2 & 3. Follow along as we demonstrate ideation, planning, environment setup, and building with AI agents.
Turn your roadmaps into working code. Learn the implementation prompt pattern, verify against your plans, create CLI testing scripts, and master the autonomous test-fix loop.
Record meetings, transcribe with AI, and extract decisions, action items, specs, and slides automatically. Never lose a detail again.
Design code that works with AI, not just alongside it. Master CLI-first interfaces, structured logging, test-driven development with AI, and the autonomous test-fix loop.
Master instruction files, sub-agent verification, multi-session discipline, and the escalation ladder. Build the complete workflow system that ties everything together.
Go from using agents to building them. Learn the ReAct pattern, create custom tools with LangChain, and start building your own multi-tool chatbot agent.
Add knowledge to your agent with RAG and embeddings, chain multiple tools together, implement conversation memory, and complete your agent project.