Where delivery waits
Your delivery system is still waiting.
Coding agents can speed up implementation. Delivery still waits on review, architecture decisions, handoffs, and release. We help your teams build shared Agentic Engineering practices and change the delivery system where it slows them down.
20+ years engineering experience | 40+ practitioners
Where delivery slows down
More code can create more waiting
Agents shorten implementation. The delivery system around that work can still move at its old pace.
More output, same system
Developers move faster while the organization stands still.
- Generated code reaches the same review capacity.
- Context stays in private sessions and disappears with them.
- Planning, deployment, and operations keep their old handoffs.
- Leadership cannot show whether delivery improved.
The constraint moves downstream instead of disappearing.
One delivery system
People, agents, quality gates, and feedback work across the lifecycle.
- Shared context and rules live with the code.
- Agents support planning, implementation, review, deployment, and operations.
- Fixed checks decide what can proceed. People own the decisions.
- Delivery evidence shows what improved and where the next constraint sits.
That shared system is the Software Factory.
From real delivery
Teams we've worked with
Engineering and product teams across the DACH technology ecosystem.
The Software Factory
The foundations agents cannot build by themselves
A Software Factory is not an output machine. It combines architecture, engineering practices, product decisions, organization, steering, and measurement.
Context engineering foundations
Context architecture gives agents the domain knowledge, standards, and constraints they need.
Agents across the lifecycle
Refinement, planning, implementation, review, deployment, and operations become one coordinated delivery system.
Operating-model change
Decision rights, team shape, rituals, and leadership habits have to move with the system, or nobody can run it.
Architecture and quality
Domain boundaries, API contracts, tests, review loops, and fitness functions keep generated code changeable and trustworthy.
The engagement
Four engagements, each with its own decision
Start where the current constraint is clear enough to act. Evidence from each engagement shapes the next decision.
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01 | Diagnose
Factory Readiness Assessment
An evidence-backed baseline, the first constraint, an outcome hypothesis, and a prioritized roadmap.
Assessment details -
02 | Equip
Agentic Engineering Training
Two hands-on days on your stack and code create shared practices, repository-owned artifacts, and a candidate team for the Factory Pilot.
Training details -
03 | Prove
Factory Pilot
A running Factory slice in one real value stream, with delivery evidence and operating constraints you can see.
Pilot details -
04 | Scale
Rollout & scale
Factory rollout across teams, operating-model change, platform-team development, and internal ownership.
Rollout details
Measurement
Evidence from day one
The four engineering measures are useful signals, not business impact by themselves. Every engagement adds a client-specific outcome hypothesis and named data source.
- PR throughput
- PRs/week
- AI utilization
- %
- Change confidence
- 1-5
- Change failure rate
- %
Every measure gets a baseline, a target, a named data source, and a review cadence.
What engineering leaders experienced
The Factory claim only counts with delivery evidence behind it. Here is what the teams say changed.
VP Engineering Moonfare
We went from 2 engineers playing with agentic coding to 20 using it daily. We've created 17 skills and 9 agents available to every engineer. Skeptics now embrace it. We're targeting daily sprints across the development lifecycle by summer.
Pilot
CTO Krombacher
We've streamlined our processes across the entire Scrum cycle, from epics through sprint planning to deployment. The team spends less time on alignment loops and more on actual value creation. My advice: just do it.
Rollout
Managing Director Tegtmeier Internet Solutions
Since the workshop, everyone here develops agentically. Some still work with agentic support, others haven't written a single line of code since. I'd recommend a workshop with you to any developer.
Pilot
Co-Founder & CTO StashAway
The interactive session helped us plow through a mountain of questions and tactical decisions. Our product-engineering organization now fully embraces agentic engineering patterns.
Training
Head of AI saas.group
The sessions got our engineers genuinely excited to try things on their own. That's the hardest part. They kept experimenting, sharing what they built, and asking questions long after the workshop ended.
Training
Head of Product Development adesso insurance solutions
We work with AI much more deliberately now. 'Agent first' has become our reflex: do we need to do this ourselves, or can an AI agent handle it? The collaboration took the fear away from our developers.
Rollout
The people leading the work
Founder-led from the first conversation
Stefan and Bene lead the work directly, supported by practitioners from engineering, product, and leadership when the constraint calls for them.
Stefan and Bene, founders of hackers&wizards.
The people shaping the engagement stay involved in the delivery work. Responsibility does not disappear into a sales handoff.
Start with evidence
The Factory Readiness Assessment shows where your organization stands, which constraint matters first, and what should happen next.