Luka Breitig
Software engineer & AI coding trainer
Practical, hands-on training that equips developer teams with real AI workflows — delivered in German or English, online or on-site.
Training topics
AI-assisted development is my core focus, with additional topics available to match your team's needs.
AI-assisted coding with Claude Code
Covers agentic workflows, MCP integrations, AI-assisted code review, and navigating unfamiliar codebases. Focused on Claude Code as a primary development environment — the tool I use daily to build real products, including this site.
What teams learn
Move beyond autocomplete to full agentic workflows that handle entire development tasks.
Practical focus
Every exercise uses real codebases and real-world scenarios — no toy examples.
Immediate impact
Participants leave with workflows they can apply to their own projects the same day.
Also available
AI literacy for organisations
Company-wide orientation: what these tools actually do, what they don't, hype versus reality, and what each everyday role in your org is likely to use AI for in the next year.
AI in everyday knowledge work
Practical AI for research, writing, summarising, and structuring information — prompt technique that survives contact with real work, for marketing, ops, customer support, and analysts.
AI strategy & adoption
Planning a rollout, picking vendors and pilots, governance, change management, and measuring impact. For tech leads, transformation leads, and operators bringing AI into a team or department.
AI leadership briefings
What managers and executives actually need to know about AI — capabilities and limits, evaluating vendors and pilots, where the risks sit, and how to set realistic expectations for your teams.
Open to custom topics across AI-assisted development, developer tooling, and workflow automation — get in touch to discuss.
Wondering if I'm your person?
Ten quick questions in, you'll know whether I can actually help — and how.
About me
Luka Breitig
Software engineer & AI coding trainer
I'm a software engineer and trainer from Germany with an academic background in psychology and business (B.Sc. Osnabrück, M.A. Zeppelin University). I help developers and teams adopt modern AI coding tools through hands-on workshops that focus on practical workflows rather than theory.
With roots outside traditional computer science, I bridge technical and non-technical audiences — breaking down complex tools into immediately applicable skills.
My teaching approach
- 💻 Hands-on, code-driven sessions with live demos and real-world scenarios
- 🚫 No dry slides — everything is shown in a real development environment
- 🎯 Participants leave with practical skills they can apply the same day
What participants take away
- ⚡ Get more done with AI as a genuine partner — not just a smarter autocomplete
- 🔧 Ready-to-use workflows that create impact from day one, regardless of experience level
- 🗺 Navigate any project or codebase with clarity and confidence
Practitioner first, trainer second. I build production software with the same AI tools I teach — this portfolio site included.
Formats & delivery
Flexible formats to match your team's needs — from a focused half-day session to multi-day deep dives.
Online workshops & live-led sessions
Remote delivery via video conferencing with live coding and interactive exercises.
In-person & hybrid training
On-site delivery at your offices or a venue of your choice, with hybrid options available.
Custom team workshops
Tailored content and exercises built around your team's stack, codebase, and specific challenges.
Conference talks & keynotes
Engaging presentations on AI-assisted development for conferences and company events.
Training or consulting?
Both bring AI-assisted coding into your team. They're booked, billed, and delivered differently.
Training
Scheduled programme
- What you book
- Workshop or programme with a fixed agenda
- What you get
- Skills your developers carry into every project
- Measured by
- Workshop days, participants, satisfaction
- Who buys
- L&D managers and training providers
- When I leave
- Your developers carry new skills
Implementation consulting
Embedded engagement
- What you book
- Hands-on engagement embedded in your team
- What you get
- Configured tooling and workflows your team adopts
- Measured by
- Adoption stickiness and productivity shift
- Who buys
- Tech leads, engineering directors, CTOs
- When I leave
- Your stack carries new defaults
Still not sure? Many engagements start with a workshop and continue as consulting — or the other way round. Get in touch and we'll work out which fits.
Frequently asked questions
Common questions about AI coding training and workshops
The most effective approach is hands-on, code-driven training led by someone who uses these tools daily in production. My workshops focus on agentic coding workflows — where AI acts as a genuine development partner, not just autocomplete. Participants work with real codebases and leave with ready-to-apply workflows they can use the same day. Sessions are available as half-day intensives or multi-day deep dives, online or on-site, in German or English.
Yes. I deliver all workshops in both German (native) and English (fluent), including bilingual teams where participants can ask questions in either language. Workshops can be tailored to your team's existing tech stack and codebase, so the exercises and examples are directly relevant to your daily work. Formats include online sessions, on-site training at your offices, and hybrid setups.
Look for a trainer who ships production code with AI tools daily, not someone who only teaches theory. I use Claude Code as my primary development environment for client projects — building real-time web applications with Elixir/Phoenix, AI-powered systems, and workflow automations. This means my training material reflects actual production workflows, real failure modes, and practical workarounds, not idealised demo scenarios. I am commissioned by organisations like Cegos, Nobleprog, and Code First Girls precisely because of this practitioner-first approach.
GitHub Copilot primarily offers line-by-line autocomplete — it suggests the next few lines of code as you type. Agentic coding is fundamentally different: you describe a goal, and an AI agent autonomously plans the approach, reads your codebase, writes code across multiple files, runs tests, and iterates on errors. Tools like Claude Code operate as autonomous development partners that understand your entire project context, not just the current line.
A modern AI coding training should go well beyond prompt engineering basics. The core topics that matter in 2026 are agentic coding workflows with tools like Claude Code, AI-assisted code review, navigating unfamiliar codebases with AI, MCP integrations for connecting AI to internal tools, and parallel development patterns using subagents. The training should use real-world scenarios and production codebases rather than toy examples, so participants can apply what they learn immediately.
Have a question about training for your team?
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Trusted by teams & training providers
I deliver AI training for some of Europe's leading organisations and L&D platforms.
Cegos Integrata
Commissioned trainer via leading European L&D provider
Nobleprog
AI coding workshops via one of the world's largest IT training marketplaces
Innomotics
In-house AI training for engineering teams
Bots & People
Commissioned trainer for developer workshops
Code First Girls
Course creator — 3-month AI & agentic tools curriculum
Nomad Summit
Conference speaker on AI tools, agentic development, and developer workflows (2025)