Master of AI-Augmented Coding
Claude Code Mastery, Context Management, MCPs, Orchestration
Transform your development workflow completely. Stop prompting and start orchestrating. This intensive workshop teaches you to build systems, not just write code with AI assistance.
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Curious What Stage of AI-Augmented Coding You're At?
Download our free guide and discover where you stand on the path from prompting to orchestrating.
Day by Day Breakdown
Each day builds on the previous, taking you from foundations to mastery.
Foundations of AI-Assisted Coding
Move from prompting to controlled, predictable workflows.
What you'll learn
- Write clear, structured prompts that don't drift
- Control scope so AI touches only what you intend
- How context really works (and why it breaks)
- Manage context using project memory without bloating it
- Use tools (MCPs) to give AI real feedback instead of guessing
What you'll practice
- Creating a minimal project memory file
- Running changes with and without tools — seeing the difference
- Crafting effective prompts for different scenarios
- Setting up your development environment for AI-assisted coding
You leave with
- Understanding of context management fundamentals
- A clean, minimal project memory template
- Ability to write prompts that produce predictable results
Working with Large Codebases
Safely and efficiently work with AI on real-world projects.
What you'll learn
- Safely work with large codebases without breaking things
- Map a codebase before changing it
- Verify AI output instead of trusting it blindly
- Turn good workflows into reusable commands
- Using AI for writing automated tests
What you'll practice
- Mapping an unfamiliar codebase in minutes
- Fixing bugs and making small changes with verification steps
- Building your own command library
- Generating test suites with AI assistance
You leave with
- A repeatable "map → plan → implement → verify" workflow
- Confidence using AI on large repositories
- A personal library of reusable commands
Automation and Orchestration
Take control by designing agent systems, not one-off prompts.
What you'll learn
- Design specialized subagents (planner, implementer, verifier, reviewer)
- Limit tools and permissions per agent for safety and speed
- Run agents in the correct sequence with clear handoffs
- Enforce quality gates (tests, scope checks, reviews)
- Coordinate multiple agents as a single orchestrated system
- AI-assisted refactoring: safe, incremental code improvements
- Pattern recognition for technical debt and code smells
What you'll practice
- Creating and running subagents with clear responsibilities
- Orchestrating agents to solve a real task end-to-end
- Refactoring legacy code with AI-guided transformations
- (Optional) Working on your own company's codebase
You leave with
- A working orchestrator pattern you can reuse
- A library of commands and agents
- A clear mental model of when to automate and when to intervene
- The ability to design AI workflows, not just use AI tools
Learn From the Experts
Adam Bilišič
Founder & AI-Augmented Coding Expert
English, Slovak
12+ years of professional experience. Ex-CTO of a Swiss company with 8+ years leading teams for enterprise clients.
Jerguš Frajt
Founder & Senior AI Engineer
English, Slovak
10+ years as a full-stack engineer. Delivered complex solutions for Swiss enterprise clients. Expert in AI systems and development workflows.
Ready to Get Started?
Let's discuss how we can help transform your business with AI.