AI-assisted software development
Turn your plans into working software faster. We combine coding agents with experienced architecture work, automated testing and controlled releases.
15 minutes with Robert · free, no obligation
We build new software and improve existing systems. Our approach combines coding agents with experienced architecture work, automated testing and code reviews. You work directly with the engineers who develop your application, verify the results and bring it into production. Responsibility stays clear from the first requirement to release.
For new products and established systems
Build a product. We define the first useful scope, design the architecture and deliver in short, verifiable increments. You see early whether the software solves your problem.
Modernise an existing application. We make behaviour and dependencies visible, protect important workflows with tests and improve the system incrementally. A complete rewrite needs a clear justification.
Help your team use AI effectively. We work in your codebase and processes. Together, we establish context, rules, permissions and checks for coding agents. The knowledge stays with your team.
If you want agents to automate recurring business tasks, explore our AI agents and workflow automation service.
Turning AI-generated code into reliable software
Requirements before the prompt
We define what a change must achieve, which data it touches and how it will be accepted. Architecture decisions and project rules give people and agents the same context.
Small changes with clear accountability
Coding agents support implementation, testing, analysis and documentation. An engineer directs each task and reviews changes for readability, behaviour and system-wide effects. Our approach to AI code and architecture explains this responsibility.
Quality assurance matched to risk
We agree what evidence each release needs: unit and integration tests, end-to-end tests for important user journeys, static analysis, and dependency and permission checks. Critical changes receive additional domain review. Our guardrails for coding agents explain how we match review depth to risk.
DevOps through to production
Automated builds and deployments, monitoring and a planned rollback belong together. Our DevOps and Kubernetes expertise supports operations and ongoing development within an agreed scope.
Experience with software people depend on
At the Federal Office of Information Technology, we supported Go teams working on systems connected to tax administration. For GMG, we built an automated Kubernetes platform for ERP rollouts to 100 opticians. At onocoy, we contributed to the backend and infrastructure of a GNSS platform.
These references demonstrate our engineering and operations experience. The individual case studies describe the methods and technologies used in each project.
Start by discussing your project in 15 minutes
In a free first conversation with Robert, we discuss your goal, current situation and biggest open question. If useful, we agree on an architecture review, a first sprint or work alongside your team. Scope and costs are agreed before work begins.
Frequently asked questions
How much faster is AI-assisted development?
It depends on the task, codebase and review effort. We do not promise a universal multiplier. We look at the time to a verified, usable change and the effort spent on rework. An initial work package shows where AI helps in your project.
Which AI tools do you use?
We work with coding agents and models from providers including Anthropic and OpenAI. Output quality, integration and your data requirements guide the choice. Project rules, skills and suitable tools make the workflow repeatable. We assess the selection against your project.
What happens to our source code?
Before using a tool, we establish which data it may process, what access is needed and which provider terms apply. We restrict tools and data flows for sensitive projects. Our article on coding agents and data protection explains the technical checks.
Can you take over an AI-generated prototype?
Yes. We first assess architecture, the data model, tests, dependencies and operations. Then we prioritise what is needed for production, giving you a basis for deciding which parts to keep and which to rework.
Do you only develop in Go?
Go is one of our strengths. We also build frontends, integrations and applications in other technologies. Existing systems and your team’s skills inform the choice. See our backend and frontend development service.