Best fit
A live application with real users, accumulated technical debt, fragile integrations, security or compliance pressure, and a business requirement to keep operating during the change.
CoreLine modernizes aging enterprise applications while preserving business continuity. We audit the current system, plan an incremental migration, and replace the parts that constrain security, compliance, reliability, or product delivery.
Legacy codebase audit
Migration roadmap
Risk and ROI analysis
Monolith decomposition
Cloud-native migration
Database modernization
Controlled production cutover
Team knowledge transfer
Post-migration support
This service is for organizations whose business-critical software still works but has become risky, expensive, or slow to change. CoreLine starts with evidence from the running system, then defines a phased path that keeps valuable components and replaces only what blocks the business.
A live application with real users, accumulated technical debt, fragile integrations, security or compliance pressure, and a business requirement to keep operating during the change.
A greenfield product with no legacy system, a cosmetic redesign, or a mandated big-bang rewrite where incremental validation and rollback are not allowed.
A codebase and architecture assessment covering dependencies, data flows, infrastructure, delivery risks, and the cost of leaving each problem unchanged.
A prioritized modernization roadmap with migration boundaries, sequencing, validation criteria, rollback options, and an estimate for each production milestone.
Your dev team spends more time maintaining legacy systems than building new features
The original developers are gone and no one fully understands the codebase
Compliance or security requirements are forcing a platform change you keep postponing
Every vendor you talk to wants to rewrite everything from scratch - you need a pragmatic migration

Modernization is not a rewrite. We assess what works, replace what doesn't, and migrate incrementally so the business never stops. Every step is reversible until cutover.
We map the existing system: architecture, dependencies, data flows, integrations, and risk areas. The output is a modernization roadmap with phased milestones, not a vague estimate.
We replace components one at a time using the strangler-fig pattern. New services run alongside legacy ones. Each migration step is independently testable and reversible.
Traffic shifts to the new system through a controlled cutover designed around the application's continuity requirements. We run parallel validation, performance testing, and compliance verification before decommissioning legacy components.
Using solutions such as React Native, Flutter, AWS, and many others makes it possible for us to upgrade your product as much as possible and to achieve a thriving collaboration. Here you will find our guide through our most used technologies and case studies related to each one.
No. Most modernizations are incremental. We assess what works, keep it, and replace only the components that block compliance, performance, or feature velocity. Full rewrites are a last resort and only recommended when the cost of maintaining the legacy system exceeds the cost of replacement.
When uninterrupted service is a requirement and the architecture allows it, we use parallel operation and incremental traffic shifts so each step can be tested and reversed. The assessment identifies components where a maintenance window or a different cutover pattern is safer.
PHP, .NET, Ruby on Rails, Java/Spring, and custom monoliths. We migrate to TypeScript/React, Node.js, Python, Go, and AWS/GCP infrastructure. We also handle database migrations from Oracle, SQL Server, and MySQL to PostgreSQL.
The timeline depends on system boundaries, data migration, test coverage, integrations, and continuity requirements. The assessment produces a milestone-level estimate before implementation; delivery is then planned in independently releasable phases rather than one long rewrite.
Data integrity is the top priority. We run parallel databases during migration, validate data consistency at every step, and maintain rollback capability until cutover is complete. Audit trails are preserved throughout.