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The Forward Loop.

Forward-deployed engineering for the AI era: a small senior team works close to the business, owns the outcome end to end, and delivers in short loops with quality verified in every one. We help your teams adopt it, and we use it ourselves on every focused build.

The shift

From a relay of handoffs to a loop that learns.

Traditional delivery passes work between specialists and finds problems at the end. AI makes each step faster, but the handoffs and late surprises remain. The Forward Loop removes them.

Traditional delivery

A relay of handoffs

  1. Analyst01
  2. Architect02
  3. Developers03
  4. QA04
  5. Operations05
  6. Issues found late, sent back as rework
  • Context is lost at every handoff
  • Feedback arrives at the end, when change is expensive
  • Ownership is split, so outcomes belong to no one

Forward-deployed engineering

The Forward Loop

Forward-deployedpodin your teamShapeBuildVerifyShipLearn
  • One senior pod owns the outcome, end to end
  • Short loops of one to two weeks, with AI accelerating each one
  • Quality is verified in every loop, not at the end

What changes

Fewer handoffs. Faster, safer delivery.

  • Many handoffs

    One accountable pod

    The people who shape the work also build, verify and ship it.

  • Long cycles

    Loops of one to two weeks

    Working software lands in short increments you can see and steer.

  • Late surprises

    Quality in every loop

    Engineering checks run continuously, so rework stays small.

  • Effort spent

    Outcomes owned

    Success is measured by what reaches production and works.

FDE Foundations Kit

The building blocks that make it repeatable.

Forward-deployed engineering should not depend on heroics. We put the foundations in place so every pod, and every loop, works the same proven way.

AI-SDLC playbook

How work is shaped, built, verified and shipped with AI, written down and repeatable.

Reference foundations

Proven project structures and quick-start templates, so new work starts on solid ground.

Quality gates

Our 20+ engineering checks wired into the pipeline, so standards hold at speed.

AI tooling guardrails

AI coding tools set up with the rules, permissions and context they need to be safe and useful.

Context layer

Codebase knowledge and decision records that keep people and AI tools aligned.

Delivery metrics

A small set of measures that show flow, quality and predictability, loop by loop.

The role

What makes a forward-deployed engineer.

An FDE is a senior engineer who can take a problem from the first conversation to production, inside a client's team, using AI well and holding standards high.

  • End to end. Comfortable from the first conversation to production support.
  • Product-minded. Thinks in outcomes for users and the business, not tickets.
  • Client-facing. Works directly with stakeholders, inside their team.
  • AI-fluent. Uses AI to move faster, and knows where it cannot be trusted.
  • Quality-disciplined. Holds the line on engineering standards, every loop.

FDE Residency

How forward-deployed engineers are developed.

Strong engineers are not automatically good FDEs. The FDE Residency is the structured path we use to develop them, and the standard we hold ourselves to.

  1. 01AssessEngineering depth, judgment and client readiness.
  2. 02ImmerseThe Forward Loop, the playbook and the engineering checks.
  3. 03ApprenticeLive work inside a senior pod, with real stakes.
  4. 04CertifyLead a loop independently, verified against our standards.

The transformation

How we help you make the move.

Most organizations move to forward-deployed engineering in stages. Each stage maps to a way of working with us.

  1. Stage 1AssessAssess and designWhere you are today, where the Forward Loop pays back first, and the operating model to get there.AI adoption assessment
  2. Stage 2ProveProve it with a focused pilotA small MVP or proof of concept, run the forward-deployed way, delivers a real outcome and lays the foundations others will reuse.Idea to launch: MVP or proof of concept
  3. Stage 3ProtectInstall the quality gatesEngineering checks become part of every loop, so speed never outruns quality.Production-readiness audit
  4. Stage 4ScaleScale across teamsPractices, playbook and coaching spread the model beyond the first pod.Advisory retainer

Ready to move from relay to loop?

Start with a 30-minute conversation about where the Forward Loop would pay back first.

Talk to us