Legacy modernization is not priced by lines of code. What matters is production risk, test status, data model, dependencies, platform pressure, and critical workflows.
For mature systems, the first investment should create visibility: risks, critical paths, dependency state, data model, and modernization sequence.
The most economical modernization is often incremental: secure critical paths, add tests, separate interfaces, then migrate frameworks, data access, or modules.
If only individual people understand the system, releases are manual, or data models grew historically, modernization first needs to regain knowledge and control.
The more economical sequence is often: understand the system, prioritize risks, secure critical paths, improve release capability, and only then migrate modules or frameworks.
Modernization does not automatically mean new design, full data migration, or feature rebuild. These topics can be useful, but need to be evaluated separately from stabilization and risk reduction.
Legacy modernization is not priced by lines of code. What matters is production risk, test status, data model, dependencies, platform pressure, and critical workflows.
| Scope | Budget | Typical scope | Important risks |
|---|---|---|---|
| Audit / roadmap | from €6k | Code health, dependencies, critical paths, modernization sequence | No large implementation yet; the goal is risk visibility |
| Stabilization | from €15k | Tests for core paths, release notes, dependency fixes, small refactorings | Production risk and missing testability limit speed |
| Incremental migration | from €30k | Framework, module, API, or data-access migration with rollback path | Legacy systems, data model, and integrations must keep working |
| Comprehensive modernization | from €75k | Several modules, new architecture boundaries, data migration, operations, and handover | Business continuity, test status, and team capability determine effort |
Legacy modernization is not priced by lines of code. What matters is production risk, test status, data model, dependencies, platform pressure, and critical workflows.
Because the largest risks in legacy systems are often invisible: missing tests, old dependencies, data coupling, manual releases, or single-person knowledge. An audit prevents budget from going into the wrong sequence.
Rarely as a first step. Incremental modernization is often more economical because critical functions keep running, risks fall measurably, and new architecture boundaries emerge under control.
Because effort depends on test status, data quality, outdated frameworks, hidden dependencies, and production risk. These factors need to become visible before a reliable implementation price is possible.
We respond within one working day. The first call qualifies scope, constraints, budget corridor, risk, and fit. Architecture decisions are handled in a paid discovery or audit phase; fixed pricing follows only after reliable scope clarification.
