Modernize legacy stacks safely, with AI doing the volume.
Senior judgement on the architecture, agents on the conversion work. Move off the framework, the database, or the cloud without 18 months of disruption.
Why this engagement exists.
Migrations fail two ways: they take twice as long as the estimate, or they break production halfway through. We use AI to do what AI is good at (the volume code conversion), and senior engineers do what they're good at: the architecture decisions, the edge cases, the rollback plans. The result is a migration that runs in months, not years, with zero production downtime.
Deliverables, not promises.
Every engagement ships these artefacts. Nothing here is fluff. Each item is something your team will hold in their hands at the end.
Migration plan + risk register
Phased plan with explicit rollback triggers at every cutover boundary.
AI-assisted code conversion
Agents do ~70% (boilerplate, conversions). Senior eng reviews + handles edge cases.
Test suite migration
Coverage is maintained. Tests are ported and verified before the underlying code is touched.
Strangler-pattern rollout
Old and new run in parallel; traffic shifts gradually behind feature flags.
Data migration scripts
Idempotent migration scripts with dry-run mode and full rollback paths.
Cutover + decommission plan
A scheduled cutover with a rehearsal, then decommission of the legacy system.
The process, step by step.
No mystery, no consultant theatre. This is how the work actually flows from kickoff to handover.
- Step 1
Audit current system
Map dependencies, integration boundaries, data ownership, deployment surfaces.
- Step 2
Migration + rollback plan
Design phased migration with explicit rollback triggers. Stakeholder sign-off before we touch code.
- Step 3
AI converts, humans review
Agents handle the volume conversion. Every module gets a human review before merge.
- Step 4
Migrate tests, prove parity
Tests port first, then the code. The migration is "done" when tests pass on both old and new.
- Step 5
Strangler rollout
Gradual traffic shift, feature flags, monitoring. Rollback in one config change if needed.
- Step 6
Cutover + decommission
Scheduled cutover after a rehearsal. Legacy decommissioned only after a watching period.
A real example: a React 16 → 19 migration of a 400k-line clinical platform that took 14 weeks instead of the estimated 9 months, roughly 3× faster than the hand estimate. Senior eng on architecture; agents on conversion. We have applied the same approach to language, database and cloud migrations; ask for the example closest to your stack.
The questions that actually come up.
Framework upgrades (React 16→19, Angular 8→18), language ports (Ruby→TypeScript, .NET Framework→.NET 9), cloud (on-prem→AWS/GCP/Azure), database (MySQL→Postgres, MongoDB→Postgres), monolith→services.
Related services
All servicesArchitecture & Performance
When the product outgrows the architecture, we re-platform without re-writing. Pure performance work or full architecture redesign, sized to the actual bottleneck.
Feature Development
Senior engineers with AI tooling. The feature lands, the existing system keeps shipping.
Compliance Mapping
Three to four weeks. Map your current state against the framework, identify gaps, deliver the evidence pack the auditor actually asks for.
Ready to scope AI-Assisted Migrations?
A 30-minute call. We map your situation against the engagement, give you a real estimate, and tell you honestly whether we are the right team for this.