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AI for Software Development

We help engineering organizations integrate AI throughout the software development lifecycle without compromising security, quality or engineering discipline.

Explore the collaboration

When we can help

Your team uses AI individually

You want shared practices that fit the way the whole team works.

You are adding coding agents to a repository

You need to prepare context, tools and rules for working with existing code.

You are setting boundaries for AI-assisted work

You need rules for code review, testing, security and responsibility for outputs.

You are evaluating a pilot before wider adoption

You want to assess benefits and limitations in a specific workflow and decide what to expand.

Our expertise

AI-assisted delivery

Requirements, process models and specifications can provide structured context for architecture, implementation, testing and review.

Coding agents as part of a system

We integrate coding agents into real engineering workflows instead of treating them as advanced autocomplete.

Developer infrastructure

Agent tooling, codebase knowledge, repository context, automation and CI/CD integration create a reliable environment for AI-assisted work.

Adoption from pilot to practice

Assessment, focused pilots, workflow design, guidelines, security and rollout help teams move from experimentation to repeatable use.

Deliverables

We agree on the specific deliverables to match your project. Depending on the scope, these can include:

  • Development workflow assessment

    A review of current team practices and suitable points for introducing AI.

  • Context and tooling configuration

    Agent setup, instructions and repository knowledge for the agreed tasks.

  • Output review rules

    Code review and testing practices, including automation boundaries and human responsibility.

  • Pilot workflow

    An evaluation of AI use in a specific part of the development lifecycle.

  • Rollout recommendations

    Pilot findings and proposed next steps based on the team’s experience.

How we work together

  1. Understand the problem

    We clarify your goals, current situation and constraints, including the people and systems involved.

  2. Agree on scope and deliverables

    We define the work, expected outputs and how we will verify them.

  3. Implement and verify

    We carry out the agreed work, review the results together and identify the next useful steps.

Let’s discuss AI in your development team

Tell us how you develop software today and where you would like AI to help.

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