HomeServicesAgentic Workflow Setup
    Agentic Engineering

    Ship From
    Day One

    Push-to-main pipelines, multi-model challenge, and CLAUDE.md conventions. Get your team shipping with agentic engineering—not fumbling with PRs.

    The Agentic Stack

    Push-to-MainTrunk-based, E2E-gated
    Multi-Model ChallengeSecond AI stress-tests plans
    CLAUDE.md ConventionsShared AI context per project
    Coding AgentsClaude Code, Cursor, Copilot
    Living Feedback LoopsProduction agents that self-heal

    Everything your team needs to ship with AI-native workflows from day one.

    Is Your AI Workflow Holding You Back?

    These problems kill engineering velocity in AI-native teams:

    PR theater slows everything down

    Feature branches, stale reviews, merge conflicts. Your team spends more time managing git than shipping product.

    AI agents with no guardrails

    Your devs use Copilot or Claude but there's no system to catch confident wrong answers before they hit production.

    No conventions, no consistency

    Every developer uses AI differently. No CLAUDE.md, no shared prompts, no repeatable engineering process.

    What We Set Up

    Push-to-main pipelines with automated E2E gating
    Multi-model challenge framework (a second AI stress-tests every plan)
    CLAUDE.md conventions and project-level AI context
    Playwright E2E testing in validation environments
    GitHub Actions workflows optimized for agentic development
    Coding agent setup (Claude Code, Cursor, Copilot)
    Trunk-based development with progressive delivery
    CCL Protocol for cross-model decision verification

    Push-to-Main

    No feature branches. Automated E2E tests gate every commit to main.

    Living Software

    Production agents that monitor, alert, and self-heal in real time.

    Multi-Model Challenge

    A second AI challenges every plan before execution.

    AI Conventions

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

    Common Questions

    What is agentic engineering?

    Agentic engineering is built on three pillars: push-to-main pipelines (no feature branches, no PR theater—automated E2E tests gate every commit), living software (production agents that monitor, alert, and self-heal), and multi-model challenge (a second AI challenges every plan before execution). It's not about replacing developers—it's about giving them an engineering system that ships faster and catches problems before users do.

    What is the multi-model challenge?

    Before any AI-generated plan is executed, a second AI model reviews it and pushes back—looking for blind spots, security issues, and overconfidence. Think of it as automated code review for AI decisions. It catches the mistakes that a single model is too confident to see.

    Do we really need to abandon feature branches?

    Yes. Feature branches and PRs made sense when humans were the only ones writing code. With agentic engineering, the bottleneck is the review cycle, not the code. Push-to-main with automated Playwright E2E tests gives you faster feedback, fewer merge conflicts, and higher deploy frequency—backed by DORA research.

    How long does the agentic workflow setup take?

    2-4 weeks for the core stack: push-to-main pipeline, E2E testing, CLAUDE.md conventions, and coding agent configuration. Another 1-2 weeks for multi-model challenge and production feedback loops. Your team ships with the new workflow from week one.

    Ready for Agentic Engineering?

    Book a strategy call and we'll map out what agentic engineering looks like for your team.

    Book Strategy Call

    Ready to Get Started?

    Book a strategy call to discuss your toughest technical challenges and define outcomes your team can measure.

    Get in Touch

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