Legacy software modernization without the big-bang risk

The problem is not careless teams. It is that the legacy system keeps changing while its replacement is being built. Before long, the two systems drift apart and the full risk lands on a single cutover day.

We have taken over programmes after a big-bang rewrite was attempted and abandoned. Starting from the running system may take longer to explain, but it gets working improvements into production sooner, and keeps every step reversible.

Trusted on systems that cannot fail

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Engineers
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Years
With Siemens Mobility
Why incremental

Why incremental migration reduces modernization risk

A rewrite and an incremental migration can end at the same modern system. They differ in where the risk sits, when value arrives and what happens when a release fails.

Big-bang rewrite

Incremental migration

  1. Risk profile

    Big-bang rewrite: One cutover carries the risk of the entire programme.

    Incremental migration: Risk is spread across small, reversible releases.

  2. First value

    Big-bang rewrite: Value arrives at the end, if the final deadline holds.

    Incremental migration: The first production slice typically arrives within 6-8 weeks.

  3. Failure recovery

    Big-bang rewrite: Roll back everything or release a broken system.

    Incremental migration: Roll back one slice while the rest of the system stays live.

  4. Legacy system

    Big-bang rewrite: It keeps changing while the replacement falls behind.

    Incremental migration: It is retired gradually as each component is replaced.

  5. Undocumented behavior

    Big-bang rewrite: Hidden rules are discovered in production by users.

    Incremental migration: Existing behavior is captured in characterization tests before migration begins.

  6. Funding

    Big-bang rewrite: One large investment is made without interim proof.

    Incremental migration: Each slice is funded and reviewed against delivered value.

Capabilities

Six steps from legacy software to a modern platform

One team, accountable for the whole lifecycle, not a slice of it.

Select a step to play it on the map

  1. 01

    System and risk assessment

    We map the system, its dependencies and its operational risks before anything moves.

  2. 02

    Characterization tests

    Existing behavior is captured as tests. These tests protect the rules users depend on, including the ones nobody documented.

  3. 03

    Incremental migration

    The new system replaces the old one piece by piece. Stable interfaces keep both sides working together throughout the transition.

  4. 04

    Data migration

    Data moves in controlled batches, with reconciliation and integrity checks before each cutover.

  5. 05

    Re-platforming

    The application moves to a supported runtime, build process and deployment platform without rewriting working business logic unnecessarily.

  6. 06

    Cutover and decommissioning

    Each component moves through a controlled switchover. Once the replacement is proven, the corresponding part of the old system is retired cleanly.

Deliverables

A modern system, with proof nothing important was lost

Every migrated slice reaches production with evidence that the behavior your business relies on still works.

Assessment

  • System map. Document the application, data flows and dependencies.
  • Risk register. Identify migration risks and define practical mitigations.
  • Behavior coverage. Capture current behavior through characterization tests.
  • Delivery roadmap. Break the programme into fundable slices with named gates.

Migration

  • Stable interfaces. Route traffic safely between the old and new systems.
  • Incremental modules. Replace one bounded part of the system at a time.
  • Verified data. Migrate data with reconciliation and integrity checks.
  • Parallel comparison. Run old and new components together to confirm matching results.

Cutover

  • Reversible releases. Give every cutover a tested rollback path.
  • Planned retirement. Decommission the old system only after the replacement is proven.
  • Operational handover. Provide documentation, runbooks and support procedures.
  • Team enablement. Prepare your engineers to operate and extend the new platform.

Every slice must prove it is ready to go live

All three checks must pass. If one fails, the release waits while the existing system keeps running.

Go-live checks Required on every slice
  • Reversible change. One slice can be rolled back without affecting the rest of the system.
  • Behavior preserved. Characterization tests prove that critical workflows still work.
  • Maintainable stack. The new technology is supported, practical to operate and familiar enough to hire for.
How we build it

AI accelerates the migration. Senior engineers control the gates.

Our Agent-Centric Development Cycle brings AI agents into a governed modernization process. Agents accelerate analysis, specification, implementation and review, while senior engineers remain accountable for every decision and release.

  1. Assess

    Map the system, dependencies and constraints. The assessment is direct, fixed in scope and carries no obligation to continue.

  2. Specify

    Turn current behavior and new requirements into reviewable specifications before implementation begins.

  3. Build

    AI agents implement from the agreed specifications. Senior engineers review the evidence and control every gate.

  4. Govern

    Automated tests, engineering rules and code reviews enforce the agreed standard continuously in CI.

  5. Ship and scale

    Release one slice, observe it in production and strengthen the controls before moving to the next.

What the framework delivers
Faster time to market
30-50%
Less rework and rip-out
40-60%
Delivery throughput per engineer
2-3x
Requirements covered by tests
90%+
Explore the Agentic SDLC
Tech stack

Move from legacy platforms to supported, cloud-ready systems

COBOL may still run your core operations. Delphi may still power the desktop, and Oracle Forms the back office. We modernize these systems one component at a time, without discarding working business logic simply because the technology is old.

Migrating from

Mainframe, desktop and back-office applications that still run essential operations, often with tightly coupled components and business rules nobody documented.

Common legacy technologies include:

  • COBOL
  • Delphi
  • Oracle Forms

Migrating to

Supported technologies your team can operate and hire for. Each component moves to the platform that fits its role rather than forcing the entire system onto one stack.

Application
  • .NET
Data
  • PostgreSQL
  • Microsoft SQL Server
  • MongoDB
  • Redis
  • Apache Kafka
Platform and delivery
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Kubernetes
  • Terraform
  • GitHub Actions
Case study · Traffic control

Traffic control software modernized without taking it offline

A German traffic-control operator relied on a dated desktop interface backed by a monolith that was costly to maintain.

We rebuilt the application as modular, cross-platform components and migrated one workflow at a time. The old and new systems ran in parallel throughout the transition, so existing operations and integrations continued working.

Results

Improvement in UI usability
30-40%
Improvement in rendering performance
25-35%
Backward compatibility
100%
Testimonials

Our Clients Say It All

Engagement

Start with a modernization plan you can fund

Every engagement begins with a fixed-price assessment and ends with a written plan. After the assessment, we recommend the delivery path that fits your system, including no further engagement if none of the options make sense.

Modernization assessment

Build a roadmap before committing to the migration

Map the system, identify the risks and compare costed delivery options.

Commercial model
Fixed price, including the roadmap and costed options
Typical duration
3-5 weeks
  • Incremental migration

    Modernize the system without stopping it

    Replace the legacy platform slice by slice, with a delivery gate and rollback path for every release.

    Commercial model
    Phased delivery, approved and funded by slice
    Typical duration
    6-18 months
  • Re-platforming only

    Keep the business logic. Move the runtime.

    Move the application to a supported platform while preserving the business behavior that already works.

    Commercial model
    Fixed-scope re-platforming and modernization
    Typical duration
    8-16 weeks

Certified, accredited and independently reviewed

Clutch Top App Modernization Service company, Vietnam 2026Clutch Top Cloud Consulting Company, Vietnam 2026Clutch Top Machine Learning Company, Vietnam 2026
FAQ

Frequently asked questions.

Something not covered here? Ask an engineer directly, no SDRs, no funnel.

Why not just rewrite it?

Because the old system keeps changing while you write the new one, and the day of the switch carries all the risk at once. Incremental migration spreads that risk across many small, reversible steps.

How do you avoid breaking behavior nobody documented?

Characterization tests. We capture what the system actually does, including the parts nobody intended, before we change anything.

Can you work with COBOL, Delphi or Oracle Forms?

Yes. The constraint is usually access to the runtime and the data, not the language.

How long does this take?

Assessment in three to five weeks. Migration is measured in slices rather than one date. Most programmes run six to eighteen months with value shipping throughout.

What happens to our team?

They stay central. We work alongside them and hand over as slices land, so operating the new platform is not a surprise at the end.

Contact

Let's Work Together

German engineering discipline meets agentic delivery. Send a short note and we'll reply within one business day, straight to an engineer, no SDRs, no funnel.