AI for the Already-Kickass Developer
This isn't training. It's forging. Evolve your role from coder to conductor by mastering AI-driven architecture, debugging, and structured agile AI methodology.
Course Overview
An 8-week, expert-led course for experienced developers. We will evolve your role from coder to conductor by mastering AI-driven architecture, debugging, and a structured agile AI methodology to build complex applications with professional-grade process and efficiency.
Course Details
Curriculum
Two comprehensive modules that transform you from an AI user to an AI conductor.
The Code Archeologist
Weeks 1-4
Master the use of AI to rapidly understand, document, debug, and enhance a complex, pre-existing codebase.
- • The Conductor's Mindset & Tooling
- • X-Raying the Black Box: AI-Powered Codebase Analysis
- • The AI-Assisted Bug Hunt: Root Cause Analysis
- • Surgical Refactoring: AI-Driven TDD and Patching
- • From Requirement to Blueprint: Designing the "Inventory Tracking" Feature
- • Detailed System Design: AI-Generated Schemas & Logic Flows
- • AI-Powered Scaffolding & Backend Implementation
- • Frontend Integration & AI-Generated Tests
The AI-Powered Agile Team
Weeks 5-8
Learn to manage a full AI agile team using the BMAD-METHODOLOGY to build a complete project planning tool, moving from solo prompter to a true Product Owner.
- • Intro to the BMAD-METHODOLOGY
- • The Planning Phase: Directing the Analyst & PM Agents
- • The Design Phase: Guiding the Architect Agent
- • The Backlog Phase: Managing the Scrum Master Agent
- • The Build Phase: Overseeing the Developer Agent
- • The Quality Phase: Validating with the QA Agent
- • Full Lifecycle Automation & Deployment
- • Capstone Showcase: Presenting Your Project Planner
What You'll Master
Concrete skills that immediately transform your development practice.
AI-Powered Codebase Analysis
Rapidly understand complex, legacy codebases using AI tools and methodologies.
Strategic AI-Assisted Debugging
Master root cause analysis and surgical refactoring with AI-driven TDD approaches.
AI-Driven Feature Development
Build complex features using AI-powered scaffolding and implementation patterns.
System Design with AI
Generate schemas, logic flows, and architectural blueprints using AI assistance.
The BMAD Methodology
Implement a structured agile AI methodology for managing AI agent teams.
AI Team Management
Direct multiple AI agents as Analyst, PM, Architect, Developer, and QA roles.
Production Deployment
Deploy complex AI-assisted applications with full lifecycle automation.
Quality Assurance
Implement AI-generated testing strategies and validation frameworks.
Prerequisites
This course is designed for experienced professionals. We assume intelligence, not credentials.
✓ You Should Have
- • 3+ years professional development experience
- • Comfort with at least one modern language (Python, JavaScript, etc.)
- • Experience working with APIs and databases
- • Understanding of software architecture principles
- • Git workflow knowledge
- • Command line proficiency
→ Ideal Background
- • Senior developer or team lead
- • Experience with complex codebases
- • Some exposure to AI/ML concepts
- • Agile/Scrum methodology experience
- • DevOps or deployment experience
- • Curiosity about AI-driven development
Ready to Transform Your Practice?
Join the next cohort of expert developers mastering AI-driven development.
Next cohort starts Q4 2025. Limited to 15 participants.