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How we build · The AI SDLC

AI won’t replace engineering discipline. It rewards it.

The same system builds our products and our clients’ — so every engagement inherits what we’ve already proven.

Three principles

  1. Senior judgment up front

    Architecture, security and product calls are made by a principal engineer, not delegated to a model.

  2. AI engineers in parallel

    Specialised agents build, test and document in separate lanes of our AI SDLC, so a small team moves like a large one.

  3. Proof on every change

    Context, guardrails, regression tests and security scans gate each commit. Speed you can audit, not speed you have to trust.

Five stages, every change.

The lifecycle
  1. Frame

    Founder and client agree the outcome, the constraints and what “done” means.

  2. Specify

    Requirements become machine-readable specs and acceptance tests.

  3. Build

    AI virtual engineers work in parallel lanes, reviewed by a senior engineer.

  4. Prove

    Regression harness, security scans and performance checks gate each change.

  5. Ship & run

    Deploy to your cloud with monitoring, then keep improving it.

Read: What an AI SDLC actually looks like

Harness engineering

The model is the engine. The harness is the engineering.

AI code is only as trustworthy as the system around it. We design that system first — what agents see, what they can touch, and how every change is proven — then let them build.

Context

Curated instructions, conventions and files for each task: enough to be right, not so much it drifts.

Tools

The smallest set of tools that lets an agent verify its own work, exposed through MCP.

Guardrails

Permissions, hooks and CI rules enforce what agents must never do. Rules live in tooling, not prompts.

Checks & evals

Regression, security and contract checks on every change, fed straight back into the next attempt.

Read: Harness engineering, explained
  1. context · conventions loaded✓ passed
  2. unit · contract · e2e (5,612)✓ passed
  3. secrets · dependencies · SAST✓ passed
  4. human review · design & riskin review
products
9
accelerators
17
automated tests
5.6k+

17 accelerators.

Months of work you don’t pay for twice. Each was built and tested inside a NeoMonarch product, then made reusable — so a new build starts at week six, not week one.

Browse all 17

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