AI Development
For us, AI-assisted software development means embedding new tools into proven engineering — from the first understanding of your task through the ongoing evolution of your solution.
01 / Two different perspectives
AI can support our development team on clearly scoped tasks. What matters is not how much code is produced, but whether the result fits the requirements, architecture and quality standards.
Here, AI is part of the application itself. We assess such functions separately based on the use case, your data, necessary safeguards and verifiable results.
02 / How we view the process
No blanket automation of every phase. Instead, appropriate support with defined boundaries.
Define goals, domain rules, data access and success criteria.
Structure information and surface open questions and possible contradictions.
Decide on architecture, boundaries, interfaces and security requirements.
Prepare solution options and help document decisions.
Guide implementation, understand code and take responsibility for changes.
Support code suggestions, refactoring and focused development tasks.
Evaluate tests, verify professional suitability and approve changes.
Complement test cases, flag possible errors and prepare reviews.
Take responsibility for operations, changes and priorities.
Help maintain documentation and prepare technical information for analysis.
This overview describes our approach and possible support, not a fully autonomous process or one that is already automated in every phase.
03 / What we clarify before use
Which data may be used? Which models and environments are approved? These questions come before the first use of AI.
Requirements, architecture rules and permitted access must be clear. A precise task is more important than the most autonomous possible agent.
Generated results are suggestions. They require professional review, appropriate tests and a traceable change process.
We do not want to create activity for its own sake. Effort, dependencies and quality must match the actual value of your solution.
04 / Our path
We distinguish between how we work today and how we continue to develop our approach.
We use AI assistance such as GitHub Copilot in our development work. It complements our development environments; responsibility for adopted code remains with the development team.
We are evolving our approach step by step with structured project context, specialized assistant roles and mandatory quality checks. New workflows are initially tested in clearly bounded steps.
We start with your task, not with a tool.
