10x fasterQuality assuredFull-Stack

AI-Automated Software Development

Development services far beyond previous possibilities

Accelerated software development with AI – without losing engineering quality. Agile delivery excellence, full-stack competence (Embedded, Desktop, Web, Mobile, Cloud) skillfully combined with optimized AI agents enable a fast roundtrip from requirement to implementation – secured by automated tests.

What you gain

Fast deliveries

Short feedback cycles and rapid progress through AI acceleration

Quality Assurance

Reliable automated tests to ensure stability when changes are made.

Transparency

Clear requirements, traceable changes, measurable quality

Scalability

Stable CI/CD and test pipelines instead of fragile individual solutions

Approach: Roundtrip from Requirement → Code → Test → Integration

Structured automation with human expertise as foundation

1) Requirements that enable automation

Productive automation needs precise and testable requirements. Structured specification and acceptance criteria make implementation plannable:

  • Clear use cases / user stories with acceptance criteria (Definition of Ready)
  • Interfaces/boundary conditions described so they are implementable and testable
  • Traceability through precise definition of desired software behavior: Business goal → expected behavior → tests → code
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2) Code creation with AI agents – controlled

Automation works best with clear specification, variants, standard patterns and refactoring preparation – changes remain reviewable and traceable:

  • Implementation in small, integrable changes (short iterations)
  • Guardrails through architecture/coding standards and reviews
  • Targeted refactoring when legacy/structures block implementation and tests

3) Quality assurance through automated tests (TDD/BDD + AI)

Speed only scales with tests. Test-driven principles and stable infrastructure ensure quality – AI accelerates creation:

  • Unit, integration, system and behaviour tests derived from specifications and existing code (AI-assisted)
  • Test strategy (test pyramid, mocking, test data) + quality gates in CI/CD
  • Refactoring for testability in legacy/monoliths
  • Goal: fewer hotfixes, reliable releases, auditable evidence (where relevant)

Agile Development and Project Management Excellence

Highly automated development needs robust processes and a tight implementation organization. Our agile expertise supports:

Process Excellence

Scope and priority management (result and value-oriented)
Organized backlog, clear Definition of Done/Ready, measurable quality goals
Regulated decision and communication channels for plannable delivery

How it works

1

Initial consultation

Goals, maturity level, tech stack, quality requirements

2

Entry & focus

Delimited use case / feature slice or quality quick win

3

Roundtrip delivery

Sharpen requirements → AI-supported implementation → test → integrate

4

Stabilization & enablement

Standards, test/CI setup, coaching "on the job"

Typical use scenarios

AI acceleration under delivery pressure

AI-supported acceleration of a product/team under delivery pressure

Automated test maintenance

Building or maintaining automated tests

Legacy modernization

Modernization/decoupling of legacy for better testability

CI/CD stabilization

Stabilization of CI/CD and reduction of flaky/slow tests

Industrial quality scaling

Scaling quality in industrial environments (traceability, compliance)

Frequently Asked Questions

Ready for turbo-fast development?

Let's put your software development in the fast lane together.