[ MODERNIZATION & AI READINESS ]
Old codebases hold AI tools back. We restructure legacy websites and web apps into clean, unified code your team can maintain and extend with modern AI assistants — without a full rewrite.
Modern AI assistants are extraordinary — on codebases that give them something to work with. Unified architecture, real tests, consistent patterns. The output of a modernization isn’t just “cleaner code” — it’s a development environment where AI tools actually pull their weight.
Features that took weeks ship in days. AI assistants handle the repetitive scaffolding; your engineers spend time on the parts that need judgement.
Claude Code, Cursor, and Copilot can read your code, reason about it, and produce changes you can merge — once the codebase gives them the structure they need.
One framework, one pattern, one way to do things. No more “it depends on which folder you’re in” tribal answers when a new dev joins.
AI can refactor confidently because tests catch regressions. Manual QA stops being the bottleneck that gates every release.
Knowledge lives in the code and its tests, not in one engineer’s head. New developers ramp up in days, not months.
Built on stacks that vendors and the tooling ecosystem will support for the next decade — not the last one.
These are the conditions that turn AI assistants from a force-multiplier into a frustration. Any one of them is fixable. All of them together is a modernization project.
jQuery in one folder, React in another, AngularJS lurking in the admin panel. New developers can’t tell which one to use for a new feature.
Releases ship on hope. AI assistants can’t safely change anything because nothing verifies the change is actually correct.
Five different ways to talk to the database, depending on who wrote that route. AI can’t reason across that — and neither can your team.
One person knows how the deployment works. Another knows the database schema. Both are on holiday next week.
PHP 5/7, Node 12, libraries with no commits since 2019. Security patches don’t exist; hiring engineers who’ll work in it is hard.
Production tables don’t match what the migrations say. Nobody’s sure which is the source of truth.
One engineer SSHes in and runs commands. Releases happen on a Friday afternoon, then nobody touches it for three days.
If tests exist, they only run when someone remembers. Broken code reaches main before anyone notices — usually a customer.
We map your codebase: stack inventory, dependency graph, test coverage, the riskiest areas. You get a clear picture of what’s blocking AI tools and a prioritised modernization roadmap — highest-impact work first.
Module by module, route by route. New code lives alongside the old; traffic moves over as parts are ready. Tests added as we go. Production keeps running — no big-bang rewrites that fail.
Documentation generated from the code itself. CI/CD pipeline in place. Architecture decisions recorded so AI tools know which patterns to follow. Your team starts shipping with AI assistance from day one.
Full rewrites fail. They take twice as long, cost three times as much, and rarely ship the original feature set. Teams get stuck in “migration mode” for years while the business waits and competitors pass them.
We use the strangler pattern instead: new code is built alongside the old, requests route to whichever is ready, and legacy parts retire as we replace them. Your site keeps running. Your team keeps shipping features for customers. Modernization happens in the background — measurable progress every week, not a multi-quarter all-or-nothing bet.
The target stack depends on your team, your existing tooling, and what makes sense to maintain in five years’ time. We don’t force-fit a favourite framework.
PHP 5.x/7.x and ageing CodeIgniter, Zend, CakePHP, or custom-framework code — restructured to modern PHP 8.x on Laravel, Symfony, or cleanly-organised vanilla PHP with PSR-4 autoloading.
jQuery, AngularJS, Backbone, and Knockout codebases — restructured to modern React, Vue, Svelte, or a clean vanilla TypeScript foundation, depending on what fits your team.
Old WordPress plugin-soup, Drupal 6/7, Magento 1, or unmaintainable headless builds — migrated to maintainable modern setups or headless architectures with proper content APIs.
Schema cleanup, migration tooling installed, drift between environments resolved. MySQL/SQL Server modernization, denormalisation reviews, and proper foreign-key integrity restored.
Manual SSH deploys replaced with GitHub Actions, GitLab CI, or Azure DevOps pipelines — with automated tests, staged rollouts, and rollback ready before the first deploy lands.
Documentation generated from code, architecture decision records, and patterns codified so AI tools produce code that matches your conventions — not a generic best-practice average.
Before committing to a multi-month modernization, you need to know what it would actually involve. Our audit is the standalone first step. One week, fixed price, no follow-on commitment required.
Stack inventory, dependency graph, complexity hotspots, test coverage by area, dead-code detection. The map you need before you can plan a route.
How well does your current codebase work with Claude Code, Cursor, Copilot? Specific blockers identified: file organisation, missing types, inconsistent patterns, untested invariants, hidden dependencies. The first time most teams see this measured.
Work ranked by AI-productivity impact per euro of effort. You see exactly what a modernization engagement would touch, in what order, with what expected outcome — before you sign anything.
Every promise on this block is grounded in something we kept hearing customers complain about elsewhere. We picked the opposite as our default.
Agent-managed workflows handle the daily and weekly work. You see results in plain language every week — not "we’ll check in at the end of the quarter."
Your engagement is owned by one senior person from day one. No bait-and-switch to a junior team after the contract is signed. No reassignments every few months.
Every price is on our pricing page. Month-to-month after the initial term. 30-day cancellation. No renewal surprises, no "inflation adjustment," no exit interview.
Code, data, playbooks, architecture decisions — all documented and handed over. We’re here to make ourselves useful, not indispensable.
Send us a quick description of your stack and where the pain points are. We’ll come back with what the highest-impact modernization work would be — and how long it’d take.
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