— Practice / 04 / Surface

App Engineering.

Where the leap meets the customer. We modernise legacy estates and build new AI-native products — with a craft bar set where it should have always been.

The application is the only thing the customer ever sees. Everything else is interior decoration.

Most modernisation programmes confuse motion with progress — re-platform without re-thinking, re-skin without re-architecting. We do not believe in that work.

Our app practice ships products and platforms that pass two tests: customers love them, and engineers want to keep working on them.

What we build.

From decade-old monoliths to ground-up agentic products — the same craft, applied differently.

— 01

Application Modernisation

Strangler-fig migrations, monolith decomposition, event-driven re-architecture. Modernisation that ships customer value at every milestone — never a 24-month death-march rewrite.

StranglerDDDEvents
— 02

Platform Modernisation

Internal developer platforms, golden paths, paved roads, Backstage-class portals. The multiplier layer that turns engineering velocity from heroics into compound interest.

IDPBackstagePaved roads
— 03

AI-Native Product Builds

Agentic workflows, copilots that don't suck, retrieval-grounded experiences. Products designed around the model — not bolted onto it as a sidebar feature.

AgentsRAGCopilots
— 04

Developer Experience

CI/CD, preview environments, AI-pair workflows, eval harnesses, ergonomic local stacks. We treat developer time as the asset it is — and design it accordingly.

CI/CDDXEval harness
— 05

Frontend & Design Engineering

Design systems that engineers actually adopt, accessibility as a default, performance budgets that hold. The interfaces your brand deserves.

Design systemsA11yPerf
— 06

API & Integration Surface

OpenAPI-first design, GraphQL federation, event meshes, webhook hardening. The connective tissue that lets the rest of the estate compose.

OpenAPIGraphQLEvents

Three shapes.

Sized to the work, not to the retainer. We do not staff projects we do not believe in.

— 01 / Strike team

The first wave.

4–8 senior engineers, embedded for 12–24 weeks. Ships the proof point that makes the wider modernisation politically viable.

— 02 / Pod model

Steady-state delivery.

Long-running pods aligned to product surfaces. Quarterly outcome contracts, transparent burn-down, clean handover discipline.

— 03 / Programme lead

Whole-estate modernisation.

Multi-pod programmes with named principals, executive cadence, and an end-of-engagement capability transfer that sticks.

The product is the only thing
the customer ever sees.
— App Engineering at Revoleap

Ship the first wave.

A working session with our app engineering principals — modernisation triage, AI-native product strategy, DX audit.

Begin a conversation
— Figure · the loop that lets AI features ship without regression

A system is only as good as the eval set you published.

— THE GATE Eval Held-out set + LLM-as-judge — 01 · DEFINE What good looks like Behaviours, edges, refusals — 02 · BUILD The agent / model Prompts, tools, guardrails — 04 · SHIP Behind a flag Canary, A/B, gradual — 05 · MONITOR In production Drift, prod-eval, signal — REGEN LOOP

— The loop on the left — production observation feeding back into the eval set — is what separates AI you can ship weekly from AI that quietly regresses for two months before anyone notices.