ITMC Innovationsforum
UniversitΓ€t Hamburg - Juni 2026
How AI Agents Are Reshaping Software Engineering
Marvin Kruse
Technical Lead at OTTO
| Role | Technical Lead at OTTO |
| Since | June 2024 |
| Experience | >15 years β in various industries |
| Focus | Platform & AI-Engineering, Developer Experience, Architecture & Distributed Systems |
| Alma Mater | Dipl. Wirtschaftsinformatik, Uni Hamburg π |
The Evolution of the Coding Setup
Internals of a Coding Factory
Demo
Key Takeaways & Outlook
Chapter 1
Classic
Nerd + Coffee + Laptop + IDE
You write everything
Modern
Nerd + Coffee + Laptop + IDE + Copilot
You write, AI assists
AI Coding Factory
Nerd + Coffee + Phone/Browser
You steer, AI writes
Your laptop is just the steering wheel β the engine runs elsewhere.
LLMs can write code β everyone knows that by now
But: Agents can also plan, structure, and execute code autonomously
The shift: from "AI as autocomplete" to "AI as a coworker who works independently"
Offload compute from the laptop
Agents work async β even while you sleep
Codex, Copilot Agent, Devin go there β DIY teaches you what's real
Self-experiment: how far can you push it today?
Chapter 2
Happier β Start sessions, monitor progress, intervene (Web + iOS)
Lateralus β Orchestrator for multi-agent runs (planned)
GitHub β Source of truth: Issues, PRs, Code
You define what gets built. The control plane makes it happen.
Web + iOS app β relay to the coding factory
Start sessions from a GitHub Issue or prompt
Monitor agent progress in real-time
Intervene: cancel, redirect, or approve
You'll see this in action in the demo.
Ubuntu VM β Homelab or cloud
Bubblewrap β Sandbox container, restricted network
Schism β CLI shim that blocks destructive/expensive commands (human-in-the-loop)
Agent (Kiro / OpenCode) β Reads spec, plans tasks, writes code, commits
Matroschka: VM β Bubblewrap β Schism β Agent. Each layer adds safety.
Chapter 3
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Chapter 4
You can build your own coding factory β today
Vendors are productizing it: Codex, Cursor, Github, Multica, etc.
The patterns are emerging β coding factories will become a commodity
Systems thinking
Distributed systems & clean architecture
Unix fundamentals
Can't review what you don't understand
15 years of building systems without AI β that foundation still matters
Stochastic β plausible, but no understanding
Security holes
Hallucinated libraries
Inefficient approaches
The agent is only as good as the senior who reviews