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Engagement format

Embedded Engineering

We join your team’s workflow and take engineering ownership of a specific initiative — from initial decisions through to live system releases.

Ownership of outcomes, not hours billed

We align up front on what must change, where the boundaries lie, and which stakeholders participate in decisions.

HOUNDS immerses into the domain independently, defines iterative milestones, and drives execution forward. Progress is visible in shipped system changes, not logged hours.

How work proceeds

Moving at your team’s rhythm

  1. Context immersion

    Integrating into product and engineering rituals, gaining system access, and understanding past architectural choices.

  2. Sustaining momentum

    Co-defining priorities, eliminating technical roadblocks, and refining plans as new findings emerge.

  3. Shipping changes

    Hands-on work across code, data, and infrastructure. Taking changes all the way to production, writing tests, and documenting context within your team’s tools.

Scope & boundaries

Taking on a well-defined initiative

This could be an in-product AI feature, transitioning a prototype to production, opening agent access to internal systems, an unacceptably slow release cycle, or a dedicated technical subsystem.

The essential requirement is a clear desired outcome and a bounded area of responsibility. Adjacent tasks discovered along the way are discussed separately — they never expand scope implicitly.

Collaborating with your in-house team

Your team retains domain context, product vision, and system history. HOUNDS injects specialized engineering capability and takes on an area lacking dedicated bandwidth.

Decisions are made by the engineers who implement them. Code, automated checks, and documentation stay inside your repositories.

Deliverables

An initiative that keeps moving

Work yields shipped, operational changes in production, accompanied by current context, test coverage, and clear priorities for subsequent phases.

If establishing the root cause or evaluating multiple technical approaches is needed first, consider starting with an Engineering Deep Dive.

Engineering Deep Dive

Investigating a single question blocking an engineering decision. Working across code, data, and teams to test uncertain assumptions in practice.

Learn more