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Legacy Modernization

Legacy Modernization

Move fast without breaking what works

We modernise legacy codebases and monolithic architectures incrementally — using the strangler-fig pattern, automated refactoring, and rigorous regression testing to move forward without rewrites that never ship.

Assess my legacy systemSee our work

What it is

The full picture

Codebase assessment

Static analysis, dependency graph mapping, and cyclomatic complexity profiling — a clear picture of where the risk and the debt actually lives.

Strangler-fig migration

We carve out bounded contexts and migrate them to modern services one at a time, keeping the legacy system running throughout.

Automated refactoring

AI-assisted large-scale refactors — framework upgrades, language migrations, API contract rationalisation — with regression test suites that verify every step.

Database modernisation

Schema migrations, ORM upgrades, and zero-downtime data migrations using dual-write patterns and careful rollback planning.

Who it's for

Right for you if…

Engineering teams running on Rails 3, PHP 5, or a decade-old Node monolith — who need to move to modern infrastructure without a Big Bang rewrite that takes 18 months and ships nothing.

Our approach

How we work

  1. 01

    System archaeology

    We read the code, run the traces, and interview the engineers who built it. You get a complete map of what the system actually does, not what the docs say it does.

  2. 02

    Risk-ranked modernisation roadmap

    We prioritise by risk, business value, and feasibility — starting with the changes that unblock the most engineering velocity for the least disruption.

  3. 03

    Incremental migration

    One bounded context at a time. Each migration is gated by a regression suite that runs against both old and new implementations simultaneously.

  4. 04

    Knowledge transfer

    Your team owns the new system. We run joint working sessions throughout, not just at handoff.

Tech we use

The toolbox

Frontend

React

Backend

Node.jsPython

Database

PostgreSQL

devops

Docker

cloud

AWS

Sample deliverables

What you receive

  • Legacy system assessment report with technical debt map
  • Prioritised modernisation roadmap
  • Migrated services with full regression test coverage
  • Zero-downtime database migration scripts
  • Architecture before-and-after documentation

FAQ

Common questions

We embed AI at every stage of your development cycle — not as a layer on top, but as part of how we work. That means AI-assisted code generation trained on your codebase, automated pre-review of every pull request, intelligent refactoring tools for legacy code, and LLM-powered features inside your product itself. We always start with your specific context rather than applying generic AI tooling.

We offer full-stack product engineering, AI and LLM integration, cloud infrastructure and DevOps, UX and design systems, security audits and compliance support, and blockchain and smart-contract development. Most clients engage us for a combination of these — we rarely work on just one layer because the best systems are designed cohesively across the stack.

Both. We work with seed-stage founders who need to build their first production system alongside Series B and C teams adding a specialist practice they don't have in-house. The common thread is that our clients are serious about what they're building — budget-conscious experimentation isn't a great fit for the way we work.

Assess my legacy system

Ready to start?

Tell us about your project and we'll have a proposal ready within 48 hours.

Start a conversationSee case studies