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Modernize your legacy code without breaking it.
We help companies refactor aging software, migrate monoliths to microservices, and upgrade legacy tech stacks in stages without operational downtime or business disruption.
When to modernize.
Your product runs on a framework nobody maintains
Rails 4, AngularJS, or a PHP monolith from 2012. Hiring is harder because no one wants the stack, and every feature costs more than it should.
Your codebase has become the main bottleneck
Features take weeks that should take days. Deployments are scary, and every change risks breaking something unrelated. Tech debt now slows the whole business down.
You need to scale but the architecture won't let you
A monolith that was fine at 10,000 users is struggling at 200,000. You know you need microservices or a different infrastructure model — but a full rewrite feels too risky to do in-house.
You're replacing a vendor or off-the-shelf system
You outgrew a no-code tool, a white-label platform, or a legacy SaaS and need to own the codebase. You need a team that can extract, rebuild, and migrate without losing data or users.
What we deliver.
Old stack out. Modern stack in.
Not demos or prototypes — products serving real audiences today. Some have been live for years, across millions of screens.
- Technical audit and modernization roadmap
- Framework and language migration (AngularJS → React, Rails → Node.js)
- API redesign and re-platforming (REST → GraphQL, SOAP → REST)
- CI/CD pipeline setup and DevOps modernization
- Incremental rewrites — old system stays live while the new one is built
- Monolith decomposition into microservices
- Database migration and data pipeline refactoring
- Cloud migration (on-premise → AWS / GCP / Azure)
- Performance optimization and security hardening
How we work.
From old to new. Safely.
01.Audit comes first
We do not start writing code on day one. We spend the first 1–2 weeks mapping your existing system — architecture, dependencies, data flows, and risk areas. This is what makes the migration plan realistic, not optimistic.
02.Parallel, not big-bang
We run the new system alongside the old one. Traffic shifts gradually. If something breaks, we roll back a slice — not the whole product. Your users see nothing during the transition.
03.You own the result
Documentation, test coverage, and knowledge transfer are built into every engagement. When we hand over, your internal team can maintain and extend the code without us.
Stack agnostic.
We do not push a preferred stack. The right target architecture depends on what you have today, your team’s skills, and where you need to be in 2–3 years.
| From | To | Why clients migrate |
|---|---|---|
| FromAngularJS (1.x) | ToReact · Vue · Angular 17+ | Why clients migrateAngularJS reached end-of-life in 2021. Security risk, no updates, hiring near-impossible. |
| FromjQuery-based UI | ToReact · Next.js · Vue | Why clients migrateSpaghetti DOM manipulation that breaks on every change. Teams want component architecture. |
| FromCreate React App | ToNext.js · Vite | Why clients migrateCRA is unmaintained. SSR, performance, and routing outgrew it. |
| FromAngular 2–12 | ToReact · Angular 17+ | Why clients migrateOutdated module system, slow builds, poor DX. |
| FromClass components | ToFunctional + Hooks | Why clients migrateLegacy patterns blocking modern React ecosystem. |
| From | To | Why clients migrate |
|---|---|---|
| FromPHP monolith | ToNode.js · Python · Laravel | Why clients migrateTightly coupled code, no API layer. Hard to scale or test. |
| FromRuby on Rails | ToNode.js · Go · Rails (API) | Why clients migratePerformance walls at scale, high memory, slow hire market. |
| From.NET Framework 4.x | To.NET 8 / ASP.NET Core | Why clients migrateWindows-only, can't containerize, no cloud-native deployment. |
| FromMonolith (any language) | ToMicroservices / modular | Why clients migrateDeployment bottleneck, team scaling problems. |
| Category | From | To |
|---|---|---|
| CategoryDatabases | FromMySQL · MS SQL | ToPostgreSQL · MongoDB · DynamoDB |
| CategoryInfrastructure | FromOn-premise servers | ToAWS · GCP · Azure · Docker · Kubernetes |
| CategoryAPIs | FromSOAP · legacy REST | ToREST · GraphQL · gRPC |
FAQ.
Just the facts.
It depends heavily on codebase size and risk tolerance. A focused migration of one service or module takes 6–12 weeks. A full platform re-architecture for a large product typically runs 6–18 months in phased stages. We always start with an audit (1–2 weeks) that gives you a realistic timeline before any commitment to full scope.
Yes — this is a core constraint we design around. We use parallel build, strangler fig, and incremental migration patterns so the existing system stays live throughout. Users experience no downtime. Traffic is migrated in slices with rollback capability at each stage.
This is very common. Part of our audit phase is reverse-engineering the system behavior — reading the code, running it, and mapping what it actually does versus what it was supposed to do. We write documentation and tests as we go, so the new system is better-documented than the old one was.
Both models work. We often embed alongside an existing engineering team — taking ownership of the migration work while your team continues shipping product features. We can also lead the full engagement if you don't have internal capacity. Either way, knowledge transfer to your team is built into the engagement from the start.
Most engagements start with a paid technical audit (1–2 weeks, fixed price) that produces a scoped modernization roadmap. From there, we can work fixed-scope per phase or on a time-and-materials basis. Contact us to scope the audit for your system.
Begin with an audit.
Not sure where
to start?
Start with a technical audit. We'll map your system, identify the highest-risk areas, and give you a phased roadmap — before you commit to a full engagement.
Get an audit