An AI-ready codebase changes how your team ships

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 is a development environment where AI tools pull their full weight.

Faster Delivery

Features that took weeks ship in days. AI assistants handle the repetitive scaffolding; your engineers spend time on the parts that need judgement.

AI Tools That Actually Help

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.

Unified Architecture

One framework, one pattern, one way to do things. New developers get consistent answers from the codebase itself, regardless of which area they are working in.

Real Test Coverage

AI can refactor confidently because tests catch regressions. Manual QA stops being the bottleneck that gates every release.

Lower Bus Factor

Knowledge lives in the code and its tests, accessible to the whole team. New developers ramp up in days rather than months.

Future-Proof

Built on stacks that vendors and the tooling ecosystem will actively support for the next decade.

If any of these sound familiar, you’re holding AI tools back

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.

Mixed Frameworks

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.

No Tests

Releases ship on hope. AI assistants need tests to confirm their changes are correct — so every refactor becomes a manual review burden.

Inconsistent Patterns

Five different ways to talk to the database, depending on who wrote that route. AI tools and new engineers both struggle to build consistently on an inconsistent base.

Tribal Knowledge

One person knows how the deployment works. Another knows the database schema. Both are on holiday next week.

Outdated Stack

PHP 5/7, Node 12, libraries with no commits since 2019. Security patches are unavailable and engineers are difficult to recruit for end-of-life stacks.

Schema Drift

Production tables don’t match what the migrations say. Nobody’s sure which is the source of truth.

Manual Deployment

One engineer SSHes in and runs commands. Releases happen on a Friday afternoon, then nobody touches it for three days.

No CI/CD

If tests exist, they only run when someone remembers. Broken code reaches main and customers discover issues before the team does.

Three phases — with production running throughout

Audit & Plan

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 prioritized modernization roadmap — highest-impact work first.

Strangler-Pattern Modernization

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 throughout via phased replacement.

AI-Ready Hand Over

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.

Modernization without a rewrite

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 with measurable progress every week.

From legacy to current — whichever direction you need

The target stack depends on your team, your existing tooling, and what makes sense to maintain in five years’ time. We recommend what fits your context.

Legacy PHP

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-organized vanilla PHP with PSR-4 autoloading.

Legacy JavaScript

jQuery, AngularJS, Backbone, and Knockout codebases — restructured to modern React, Vue, Svelte, or a clean vanilla TypeScript foundation, depending on what fits your team.

Legacy CMS

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.

Database & Schema

Schema cleanup, migration tooling installed, drift between environments resolved. MySQL/SQL Server modernization, denormalization reviews, and proper foreign-key integrity restored.

DevOps & Deployment

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.

AI Integration Layer

Documentation generated from code, architecture decision records, and patterns codified so AI tools produce code that matches your conventions specifically.

AI-Readiness Audit — €5,000 fixed, delivered in one week

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, stands alone as a complete deliverable.

Codebase Scan

Stack inventory, dependency graph, complexity hotspots, test coverage by area, dead-code detection. The map you need before you can plan a route.

AI-Tool Compatibility Score

How well does your current codebase work with Claude Code, Cursor, Copilot? Specific blockers identified: file organization, missing types, inconsistent patterns, untested invariants, hidden dependencies. The first time most teams see this measured.

Prioritized Roadmap

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.

Frequently asked questions

What does application modernization involve?

Modernization restructures legacy codebases into clean, maintainable, AI-tooling-friendly systems without a full rewrite. It includes stack upgrades (PHP 5.x → 8.x, AngularJS → React), adding test coverage, implementing CI/CD pipelines, unifying patterns across the codebase, and generating documentation so AI assistants can reason about the code effectively.

How long does application modernization take?

Smaller codebases (1–3 engineers’ worth of code): 6–12 weeks. Mid-size applications with framework migrations: 3–6 months. Large enterprise codebases: phased over 6–18 months, with production running throughout each phase. We use the strangler pattern so there’s no big-bang cutover.

Why not just do a full rewrite?

Full rewrites fail at a high rate. They take 2–3x longer than estimated, rarely ship the original feature set, and freeze the team in migration mode while the business waits. The strangler pattern we use moves traffic module by module to new code — measurable progress every week, production running throughout, zero big-bang risk.

What does “AI-ready” mean in practice?

An AI-ready codebase is one where Claude Code, Cursor, or Copilot can read your code, reason about it correctly, and produce changes you can safely merge. That requires: unified patterns (one consistent way to do each thing), real test coverage (so regressions surface automatically), architecture decision records (so AI tools follow your conventions), and up-to-date documentation generated from the code.

Can you modernize without disrupting our current team?

Yes. We work in parallel with your existing team. New features are added to the modernized modules; legacy modules are replaced gradually. Your team keeps shipping for customers throughout. We handle the modernization work separately and hand over in phases as each area is ready.

What stacks and languages do you modernize?

PHP 5.x/7.x (to PHP 8.x on Laravel, Symfony, or clean vanilla PHP), legacy JavaScript (jQuery, AngularJS, Backbone to React, Vue, or TypeScript), legacy CMS (WordPress plugin-soup, Drupal 6/7, Magento 1), and outdated Node.js applications. Database modernization (MySQL/SQL Server, schema cleanup, migration tooling) is included in most engagements.

Find out what AI-ready looks like for your codebase

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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Application Modernization Services