Legacy codebases, outdated frameworks, fragile integrations: the sum of choices that once made sense. We clear technical debt in a controlled programme, running alongside the business. No big-bang rewrite, no halted feature roadmap, but a measurably healthier codebase, a team that can deliver again, and architectural decisions you can explain yourselves.
Every line of code you write today will age. Frameworks release new major versions, dependencies stop being maintained, architectural choices prove unable to scale, and the people who built it have long since moved on to other teams. Technical debt is the gap between where your software stands now and where it would stand if you started again with today's knowledge. A small gap is normal, even healthy; it only becomes a problem when the interest grows faster than you can pay it down.
We help organisations that have passed the point where internal teams can manage alone. Codebases more than ten years old, post-acquisition IT consolidations with several stacks running side by side, software vendors with a graveyard of four generations of JavaScript frameworks, or teams where feature velocity has slowed to a crawl because every change breaks something elsewhere. We clear it up methodically and in a documented way, without bringing operations to a halt and without simply shifting the debt to another part of the system.
Our experience with legacy modernisation covers everything from Java monoliths and .NET Framework applications to Node microservices that never really became microservices. Alongside pure refactoring, we often link this work to a platform migration or a fundamental rethink through platform modernisation consultancy, depending on where the real pain lies.
Some of what is experienced as technical debt is maintenance backlog that becomes visible once you start measuring it. Vulnerability management makes that backlog concrete, and checks in the development pipeline stop new debt from building up.
Debt isn't only in the code. We map out each type, prioritise by risk and cost, and tackle it in an order that suits your business, rather than in the order of the development team's frustrations.
Outdated frameworks, copy-paste patterns, monolithic functions running to hundreds of lines, dead code that nobody dares to remove. On top of that, dependency debt: libraries no longer maintained, security vulnerabilities piling up, breaking changes postponed for years. We bring it into view and build a clean-up plan that runs alongside the feature roadmap.
A monolith that should have become microservices. Or worse: microservices that should never have left the monolith and now form a distributed monolith. Tight coupling between modules that should have been independent. Then there's data debt: denormalised schemas without foreign keys, the same customer details across four systems, no single source of truth. We bring the architecture back to something that can be explained.
No unit tests, brittle integration tests, feedback loops that take hours instead of seconds. Manual deployments, no Infrastructure as Code, no monitoring, no runbooks. Tribal knowledge held in the heads of two people, no architecture decision records, no onboarding documentation. This is the debt you don't notice until someone goes on holiday, and our project explicitly takes it into account.
Not a rebuilt codebase that looks the same on the surface but is modern underneath, though that is the end goal. Along the way, a number of concrete deliverables are produced that you can continue to use independently.
Four patterns we often see in organisations. If you recognise one, we're happy to talk through what a project would involve for you.
A feature that used to be finished within one sprint now takes three. Every change breaks something somewhere else. The team is working harder but delivering less, a classic symptom of architectural and testing debt getting in the way.
Vendor A built it, vendor B maintained it, and vendor C inherited it in poor condition. Each one left behind its own patterns, and the combination is now a patchwork. We bring it back into a single, coherent approach.
You have acquired a company and inherited its software, or you have been acquired and need to integrate into the parent company's stack. The link between the two worlds is now a collection of awkward workarounds. Time to replace them.
A penetration test, GDPR audit or client due diligence exposes what you already suspected: outdated TLS, hardcoded secrets, no secret management, dependencies with known CVEs. An auditor's deadline is a good reason to tackle these thoroughly.
The question we're asked most often, and the one that ranks top on Google, isn't about clearing up debt but about preventing it. If you work with an external partner or are considering one, these are the levers that make the difference between clean work and an expensive mess three years on.
A serious partner maintains an explicit tech radar: which frameworks, libraries and patterns they use and which they don't. No framework of the week, no experiments at your expense. Ask to see this radar before you sign.
Outdated dependencies pile up into a security risk or a major upgrade nobody dares to touch. Plan dependency updates as regular work in every sprint, automated where possible via Dependabot or Renovate, with a fixed time budget.
Developers rotating every few months is a debt factory in itself. Each new hire brings their own patterns, lacks context and builds workarounds around what they don't understand. Choose a partner with team stability and firm handover protocols for when a change is unavoidable.
Code in your own Git organisation, build pipelines you can hand over, and no vendor lock-in through proprietary frameworks. When awarding any contract, explicitly ask whether you can hand over the entire stack to another party at any time, and test that too.
Reviews within the external team alone aren't enough. Have at least one technically involved person from your side look over pull requests. Not to micromanage, but to understand the pattern choices before they become embedded.
Architecture decision records: short documents for each significant choice covering what we decided, which alternatives existed, why we chose this, and when reconsidering would make sense. Plus, for each project, an onboarding document, a runbook and a README that is actually accurate. Tribal knowledge is debt in the making.
A codebase scan with static analysis and complexity metrics, a dependency audit for security and maintenance status, an architecture review, and interviews with your development team. The result: a prioritised list by type of debt, scored on risk, cost and impact.
We determine what needs tackling first (driven by security and risk), what can run in parallel with the feature roadmap, and what better suits a later quarter. We calculate which debt delivers the greatest return per engineering hour invested.
Before we refactor, we record the current behaviour. Characterisation tests on the outside of modules, snapshot tests on APIs and views, a handful of end-to-end happy paths. Without a safety net, a refactor is a gamble.
Strangler fig pattern for monoliths being split up, branch-by-abstraction for deep internal refactors, feature toggles to keep changes reversible. We don't build anything new alongside the old until both have been validated.
Upgrading frameworks, cleaning up dependencies, splitting the monolith where it makes sense and keeping it where that makes sense, introducing or strengthening CI/CD, adding observability. At the end of this phase: a codebase your team can maintain again.
Documentation, ADRs, pairing with your team, a runbook for incidents. We make sure all context is made explicit, so the next developer, whether yours or external, isn't left relying on tribal knowledge.
What clients usually ask us before we start, including the question we see most often on Google.
A no-obligation introductory call of half an hour. We listen to your situation, ask the tough questions and give you direction you can use, even if that does not involve working with us. If you are looking beyond fixing the debt to a fundamental rethink, we are happy to link this to a platform migration or cloud-native platform development.
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