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

Successful Agentic Engineering is so much more than the latest hype.
It's the continuation of best practices from the past, paired with technologies of the future, leading to new ways of working.

From individual experiments to a team capability


Successful adoption means using agents confidently in real delivery — not just 
trying them in isolation.

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+

customers accompanied towards
agentic engineering

200+

engineers enabled

NO

FALSE promises for your
productivity gains
1-3 Days
FIND YOUR ENTRY POINT

Agentic Engineering Bootcamp

In 1 to 3 days we take your team from experiment to real application.
Remote or on-site — whatever works best.
Hands-on from day one.
Everyone on the same level — no more knowledge silos.
The result: Clear direction. Real experience. A concrete next step.
Build a shared understanding of Agentic Engineering.
Experience Agentic Patterns, Context & Harness Engineering hands-on.
Define the next steps for your team concretely.
3 Months
GO DEEPER

Agentic Engineering 3-Month Leap

Twelve weeks. Real delivery. Your team takes the wheel.
Agentic Engineers directly in your team.
Clear learning cycles with targeted experiments.
12 weeks of real delivery with guidance.
The result: Practical experience, reusable patterns, and proof that it works.
Right there with you. Experienced Agentic Engineers, in your team, working on your real challenges.
Building experience. Targeted experiments with real learning impact, no blind trial and error.
Self-sustaining. Patterns and practices your team can use long-term, without dependency.

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.

Read the article

Fresh from the field

The field is moving fast. Our experts share what they're learning in real teams: from context engineering and harness engineering to adoption, quality, and measurement.

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.

Katie Clark
Software Developer & Agile Trainer