Master of AI-Augmented Coding
Skills, MCPs, Subagents, Multi-Level Orchestration, Parallel Execution
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.
One method, several ways in: in-person team workshops, individual tracks, and a self-paced cohort. Engineer and business-builder tracks run side by side.
Get Started
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 & Your Skills Layer
Go from prompting and hoping to controlled, predictable workflows on a real repo.
What you'll learn
- What Claude Code and the agentic paradigm really are, and how tokens and context windows actually work
- The mindset shift from writing code to orchestrating it
- Keyboard shortcuts, operating modes, and slash commands that keep you in control
- Project memory with CLAUDE.md, file imports, and context priming
- MCP servers: extending Claude's reach without polluting context
- When a reusable skill (SKILL.md) makes sense versus a command, and how triggers fire
What you'll practice
- Onboard onto an unfamiliar repo and have Claude map its architecture, features, and data flow
- Add a real feature on a practice repo: scope it, constrain it, build incrementally
- Write your own skill, run ours, then compose skills and discover their limits
- Drive commits, /review, PR descriptions, and merge conflicts through Claude
You leave with
- A working personal setup with your own commands, project memory, and first skills
- A reusable skills layer you wrote yourself and can run from day one
- A clear map of the anti-patterns to avoid
System Layer & Your First Orchestrator
Stop using small tools one by one. Start building a unified system on your real project.
What you'll learn
- The Skill / Agent / Hook architecture, and when to reach for each
- Subagents and the orchestrator-worker pattern, including parallel execution
- Agent Teams with Opus 4.8 and how work gets divided across them
- Agentic thinking: why everything is markdown and how a unified system beats scattered tools
What you'll practice
- Build your first subagent plus a safety hook with enforcement thinking
- Build your first orchestrator on YOUR real codebase
- Work through real-world friction: agent debugging, terminology mapping, and runaway-process control
- Use /insights to analyze your sessions and get personalized recommendations
You leave with
- Your first working subagent, safety hook, and orchestrator (the repo carries forward)
- A repeatable system-building cycle instead of one-off prompting
- A personalized set of next-step recommendations from /insights
Multi-Level Orchestration & Parallel Execution
Run a system of agents that builds real software at high quality, safely and in parallel.
What you'll learn
- The three-layer model and the gate-check for reliable orchestration
- Nested subagents: where the boundary becomes a design choice
- Self-correction loops and structural requirements that hold quality
- Hooks and security: permissions, deny rules, and team-ready CLAUDE.md templates
- How to lay out architecture, platform features, and folders for a system that scales
What you'll practice
- Build a more complex orchestrator and run the whole machine end-to-end
- Run agents in parallel with git worktrees and isolation: worktree
- Let it run safely against a read-only database
- Capstone: design a full agent system with /design-agent-system
You leave with
- A multi-level, self-correcting, parallel setup you can diff and reuse
- A clean folder and architecture layout for your agent system
- A designed agent system from the capstone
Advanced Techniques & Team Infrastructure
Push past a single orchestrator and turn individual skill into durable team capability.
What you'll learn
- The autonomy spectrum and the context-window wall
- Beyond the orchestrator: the Loop (Ralph Wiggum) and convergent loops
- Workflows as a new platform feature, plus a tour of other advanced patterns
- Governance and evaluation for shared team infrastructure
What you'll practice
- Run a hands-on convergent loop on an advanced use case
- Extend a living setup: walkthrough first, then build
- Distribute your setup and stand up a custom team MCP
- Set up governance and evaluation so shared infrastructure stays trustworthy
You leave with
- Advanced loop and workflow patterns in your toolkit
- A distribution and governance model to roll the setup across a team
- A knowledge matrix and AI development manifesto to take back to work
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.
Choose your AI-Augmented Coding level.
Company-wide capability, from a first agentic setup to a rollout your whole company can share and maintain. Every engagement starts with a free pre-assessment, so no one pays for what they already know.
Foundations
Days 1 + 2You leave with a personal agentic setup (repo-2).
What you leave with
- Your own slash-commands, memory, and first real skills
- A first subagent, a safety hook, and your first orchestrator
- Skill, agent, and hook architecture on a real repo
- Built hands-on, then applied to your own projects
Day by day
Day 1
Foundations, commands and memory, MCP servers, your first real skills, and a first subagent.
Day 2
Skill, agent, and hook architecture, your own subagents plus a safety hook, and your first orchestrator.
Orchestration
Days 1 to 3You leave an orchestrator (repo-3).
What you leave with
- Everything in Foundations
- The three-layer model and multi-level, nested orchestrators
- Parallel execution across git worktrees
- Self-correcting loops, plus hooks and security
Day by day
Day 1
Foundations, commands and memory, MCP servers, your first real skills, and a first subagent.
Day 2
Skill, agent, and hook architecture, your own subagents plus a safety hook, and your first orchestrator.
Day 3
The three-layer model, multi-level and nested orchestrators, parallel git-worktree execution, self-correcting loops, hooks and security.
Advanced & Infrastructure
Days 1 to 4You leave an infrastructure owner whose setup the whole company can share and maintain.
What you leave with
- Everything in Orchestration
- The full pattern toolkit: loops, pipelines, critics
- Distribute your setup via plugins and a private marketplace
- Governance, evaluation, and a team MCP
Day by day
Day 1
Foundations, commands and memory, MCP servers, your first real skills, and a first subagent.
Day 2
Skill, agent, and hook architecture, your own subagents plus a safety hook, and your first orchestrator.
Day 3
The three-layer model, multi-level and nested orchestrators, parallel git-worktree execution, self-correcting loops, hooks and security.
Day 4
The full pattern toolkit, distribute your setup via plugins and a private marketplace, governance and evaluation, and a team MCP.
Per group of up to 10 engineers. Plus 10% per extra engineer. Plus 50% for a second facilitator on large-group days. Travel billed at cost. All prices ex-VAT.
From workshop to the way your team ships
Post-workshop guidance with weekly challenges applied to real shipping work, until agentic coding is simply how your team ships.
- Weekly live guidance and challenge design on real work
- A shared, governed setup stood up on your stack
- Tangible weekly progress, ROI compounds during the engagement
Not an engineer? You still ship real work.
In our company workshops we run a parallel business-builder track. Non-technical people (product owners, marketing, operations) build on agentic setups our engineers prepare, so they ship reliable results without deep coding. This is augmented building with guardrails, not vibe-coding that falls apart next week.
Built on engineer-grade setups
You drive pre-built agents and skills our engineers configured, so the foundation is solid before you touch it.
Ship from day one
Automate the tedious parts of your daily work and build small internal tools that actually hold up.
No computer-science degree required
You learn to operate the system, not to write it from scratch. Clear guardrails keep you safe.
What non-engineers said
“As a PO, I now know how to use Claude in my daily work and improve efficiency and accuracy tremendously. Full recommendation!”
“A lot to learn, even for a project manager without coding experience.”
Get your team orchestrating AI systems while others are still vibe-coding.
After a free 30-minute skills map, we take your developers to multi-level orchestration and secure, parallel delivery, at the quality standard you already expect. No pitch.