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    Agentic Engineering

    AI workflows
    Built Around Your Team

    Bring your current development workflow and what you want to improve. Together, we’ll identify where AI coding agents can help and agree the checks, responsibilities, and delivery plan.

    Options for your workflow

    Delivery PipelinesAutomated checks and agreed review gates
    Multi-Model ChallengeSecond AI stress-tests plans
    CLAUDE.md ConventionsShared AI context per project
    Coding AgentsClaude Code, Cursor, Copilot
    Production FeedbackMonitoring, review, and improvement

    We choose the relevant pieces together, building on your existing tools and practices.

    Is Your AI Workflow Holding You Back?

    A few situations we can help your team work through:

    Reviews and handoffs slow delivery

    Long review queues and merge conflicts can delay useful changes. We help identify where your workflow gets stuck.

    AI agents with no guardrails

    Your team uses coding agents but needs clearer checks, review responsibilities, and limits on what agents can change.

    No conventions, no consistency

    Different ways of using AI make work harder to review. Shared project context and conventions can help.

    What We Can Help With

    Delivery pipelines with automated checks and agreed review gates
    Second-model review to question AI-generated plans
    Project-level AI context and conventions, such as CLAUDE.md
    Playwright E2E testing in validation environments
    GitHub Actions workflows optimized for agentic development
    Coding agent setup (Claude Code, Cursor, Copilot)
    Trunk-based development and progressive delivery where appropriate
    CCL Protocol for structured cross-model challenge

    Delivery & Review

    Branching, automated tests, and review gates chosen around your team’s needs.

    Production Feedback

    Monitoring and feedback to guide improvements, with agreed human oversight.

    Multi-Model Challenge

    A second model can question plans alongside testing and human review.

    AI Conventions

    CLAUDE.md, shared context, and repeatable agentic workflows.

    Common Questions

    What is agentic engineering?

    Agentic engineering brings AI coding agents into software delivery, supported by shared project context, automated checks, and human review. We start with your existing workflow and agree where agents could help, what they can change, and how your team will evaluate the results.

    What is the multi-model challenge?

    A second AI model reviews a proposed plan and looks for blind spots, unsupported assumptions, and risks. We agree where this check belongs in your workflow. It provides another perspective; testing and human judgment remain necessary.

    Do we need to abandon feature branches?

    No. We review your current branching, testing, and approval process together. Feature branches and pull requests can remain part of the workflow. Where trunk-based development would help, we agree the safeguards and a suitable way to introduce it with your team.

    How long does the agentic workflow setup take?

    Timing depends on your existing pipeline, test coverage, tools, and the changes you want to make. We begin with a conversation; if discovery is useful, we agree its scope and terms separately. Before delivery begins, we agree the scope, cost, milestones, and timing with you.

    Ready for Agentic Engineering?

    Tell us how your team works today and what you’d like to improve. We’ll discuss whether we can help and a useful next step.

    Book a call

    What would you like to build or improve?

    Bring an idea, a question, or a system that needs attention. You don’t need a technical brief—let’s talk through a useful next step.