Professional Agentic Engineering
Where are you currently in your Agentic Engineering journey? Whether you're just getting started or your rollout isn't running as smoothly as you'd like yet, we have the right format for you.

Just the tip of the iceberg
It's the continuation of best practices from the past, paired with technologies of the future, leading to new ways of working.
Where is your team stuck?

Struggling to get started
Get the kickstart you need!

Adoption stalling
Take your teams to the next level!
From individual experiments to a team capability
Confident teams
Engineers know where agents add value and how to stay in control.
Reliable delivery quality
Shared context, guardrails, and feedback loops make outcomes predictable.
Evidence that matters
Progress is measured in your environment and turned into reusable practices.
15+
agentic engineering
200+
NO
productivity gains
Agentic Engineering Bootcamp
Agentic Engineering 3-Month Leap
Analysis
Audi accelerates software development with AI agents
How Comsysto Reply advanced Audi's 'Used Car Platform' with a tailored AI multi-agent system — for faster feature development and fewer routine tasks across the entire software lifecycle.
Fresh from the field
Can LLM-based coding agents make legacy modernization less daunting? This Shopware case study compares Claude Code and OpenAI Codex for system mapping, documentation and onboarding. Key takeaway: they can dramatically speed up understanding of unfamiliar codebases, but their results still need expert validation.
I may write more code, but it cannot replace the human work of framing problems, making trade-offs and owning outcomes. This article reframes the debate around how developers can use AI to move beyond code production. Key takeaway: engineering judgment becomes more valuable as implementation accelerates.
When code generation is no longer the main bottleneck, developers’ value shifts to the human side of engineering: understanding problems, thinking in systems, making decisions and challenging assumptions. Key takeaway: good judgment and knowing when to push back matter more than ever.
A shared plugin marketplace lets teams package and distribute reusable AI capabilities, such as skills, agents and integrations. This article explains how it supports consistent workflows, faster onboarding and knowledge sharing. Key takeaway: make proven practices easy to install, reuse and evolve together.
Ready for the first step?
Whether Bootcamp or 3-Month Leap — together we'll find the format that fits your team best.




