01Build · Service

Vibe Coding Builds.

Ship MVPs, rebuilds and product surfaces with vibe-coding velocity — then engineer scrutiny on every meaningful change.

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Engineer reviewing application code on a wide display

01The problem

Speed without a review bar is just debt with better lighting.

UK teams are under pressure to ship. AI coding tools make it tempting to move twice as fast — and twice as recklessly. Prompt-only builds look finished in demos, then collapse under edge cases, weak data models and security holes nobody checked.

The opposite extreme is no better: six-month waterfall timelines while competitors launch. You need velocity and accountability in the same engagement.

02How it runs

How a build engagement runs.

  1. 01

    Discover.

    One focused call. We capture scope, constraints, success metrics and non-goals — written down so the whole team can share it.

  2. 02

    Structure.

    Architecture, components and content model before volume coding. No surprise rewrites halfway through because the data model was a guess.

  3. 03

    Build in loops.

    AI-accelerated implementation in short cycles, with staging you can click while the work is still cheap to change.

  4. 04

    Scrutinise.

    Human review of merges, data model and access paths — nothing is called done because a model said it was finished.

  5. 05

    Handover.

    Notes, recommended next steps and optional care or partner retainer so momentum does not die at go-live.

03Our approach

Vibe coding for pace. Engineers for truth.

We use modern platforms — Cursor, Claude, Codex, v0 and peers — to compress scaffold, boilerplate and iteration. That is the acceleration layer.

Then full-stack developers scrutinise what matters: application logic, database shape, access paths and vulnerability surface. AI checkers help; humans decide. Nobody who cannot read and reason about code works on your build.

04What you get

Scope, build, review, hand over.

  • 01

    Discovery + written scope before build starts

  • 02

    AI-accelerated implementation under a clear architecture

  • 03

    Human review of code, data model and security paths

  • 04

    Staging demos during the sprint

  • 05

    Handover notes and recommended next steps

—Signals

The bar we hold on every engagement — velocity from the platforms, assurance from the engineers.

100%

Engineer-reviewed merges

99.9%

Hosting uptime target

24/7

Emergency cover on hosting

05Proof

Who it fits. What good looks like.

Product leads, founders and ops teams who need an MVP, rebuild or scoped feature set shipped with a clear review bar — not a black-box agency and not an unsupervised AI experiment.

Who this is for

  • 01MVPs and first product surfaces
  • 02Rebuilds of fragile legacy UIs
  • 03Scoped feature sprints with a hard deadline
  • 04Teams who want AI speed without prompt-only risk
01

Something you can run.

Staging you can click, production you can trust, and documentation a future engineer can follow.

02

A review trail.

Meaningful changes were read by people who understand the stack — not rubber-stamped by a chatbot.

03

A path after launch.

Clear options for partner retainers, care packages or a follow-on sprint.

06Pricing

What this costs.

Sprints for a defined outcome, or a monthly partnership when the roadmap keeps moving.

01

Build sprint.

From £12,000

per engagement

A focused build window for an MVP, a rebuild or a scoped feature set.

  • Discovery call and written scope
  • AI-accelerated implementation
  • Engineer review of code and security
  • Staging demos through the sprint
  • Handover notes and next-step plan
Scope a sprint
02Most chosen

Product partner.

From £6,500

per month

Ongoing product partnership — velocity with continuous scrutiny.

  • Dedicated engineering capacity
  • Weekly shipping cadence
  • Database and vulnerability checks
  • Priority support channel
  • Hosting and ops included on request
Talk partner rates

Fixed for the agreed scope once discovery is done. Most sprints land between £15,000 and £35,000 depending on surface count, integrations and how much of the data model already exists. Excludes VAT.

Next step

Bring the brief. We bring the platforms that make engineers faster — and the scrutiny that keeps what ships honest.

Ask a questionBook a call

—Resources

Read this before you brief us.

Guides, workshops and field notes from shipping AI-accelerated work for UK teams.

Browse all resources →
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