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Legacy Software Modernization

AI-assisted code analysis, refactoring, migration, API modernization, and architecture improvements for outdated systems — with mature engineering control at every step.

What we build

Practical AI delivery, not demos

Production-grade software with real business logic, integrations, and engineering maturity behind it.

AI-Assisted Codebase Audits — Static analysis, dependency mapping, and architecture review to surface maintainability, performance, and security risks.

Business Rule Extraction — AI-assisted mapping of legacy code into documented business rules and domain models you can actually work with.

Incremental Refactoring — Strangler-fig refactoring, modularisation, and clean separation of concerns — without freezing delivery.

Framework & Language Migration — PHP, .NET, Java, Node, Python — migrations executed with safety nets, test coverage, and rollback plans.

API Modernization — API layers around legacy cores to enable integrations, mobile apps, dashboards, and automation without a full rewrite.

Architecture Improvements — Service boundaries, data flows, async processing, caching, and observability that match current load and future plans.

How we deliver

Our process

01

Discovery & audit

Full picture of the codebase, infrastructure, integrations, business rules, and risks.

02

Modernization roadmap

A prioritized backlog with cost, risk, and business impact for every change.

03

Risk-controlled execution

Incremental rollout with testing, monitoring, and rollback plans at every step.

04

Knowledge transfer

Documentation, runbooks, and engineer onboarding so your team owns the result.

05

Ongoing optimisation

Continuous refactoring, monitoring, and performance tuning as the system evolves.

Why this matters

Modernize without freezing the business

Most legacy systems cannot be rewritten in one go. They run real revenue, real workflows, and real compliance obligations. The right approach is incremental, risk-controlled, and grounded in deep technical reading of what is already there.

AI accelerates code reading, refactoring, and documentation. Senior engineers stay accountable for architecture, data integrity, and production stability.

Book a Discovery Call

AI-first execution

Discovery, coding, testing, refactoring, and documentation accelerated by AI-assisted workflows.

Expert ownership

Senior engineers own architecture, security, quality, and business logic — no exceptions.

Domain awareness

Engineers selected for relevant industry exposure, not generalists learning on your budget.

Long-term thinking

We build for maintainability, evolvability, and total cost of ownership — not just demo day.

Have a project in mind?

Let's discuss whether it is feasible, what it would take, and what outcomes you could expect. Free, no commitment.