Legacy Modernization Sprint

A production-first sprint that delivers a real release — plus a safe path to modernize without breaking the business.

Vertical slice delivery Quality gates Cutover & rollback plan Senior-only

When legacy slows you down — and you need safe momentum.

  • A legacy module is blocking growth or reliability
  • You need a safe migration path (not a “big rewrite” fantasy)
  • You want momentum and proof in production quickly

Not a fit if

  • You want a complete rewrite in one go
  • You can’t provide any access, feedback, or deployment pathway

Outcomes

What you’ll ship after 4–8 weeks

Target architecture

Long-term vision + incremental migration strategy

Working vertical slice

Shipped to production (or production-ready)

Automated test baseline

Security and functional coverage for touched areas

CI/CD hardening

Improvements necessary to ship safely and frequently

Operational readiness

Cutover + rollback plan and documentation

Typical sprint shapes

Option A: Strangler Pattern Start

Wrap the legacy, route new flows to a new service, migrate incrementally.

Option B: Integration Stabilization

Fix broken data flows, implement stable interfaces, remove manual workarounds.

Option C: Performance Hardening

Eliminate hotspots, add observability, reduce incidents, improve deploy safety.

What’s included

Scope lock

Clear acceptance criteria to avoid ambiguity

Architecture decisions

Documented in ADRs for future reference

Implementation

Built with quality gates (tests, review, readiness)

Observability

Logs, metrics, and alerts where feasible

Handover

Documentation and kickoff for your team

How we avoid drama

01

Discovery

Scope lock and technical deep-dive

02

Architecture

Target design and migration plan

03

Build

Vertical slice implementation

04

Readiness

Ops review and cutover prep

05

Release

Safe cutover and handover

Timeline & pricing

€25k–€80k+
Typically 4–8 weeks

Complexity and target scope dependent

What drives cost

  • Number of internal systems involved
  • Data migration complexity (volume/schema)
  • Deployment constraints (downtime windows)
  • Existing quality baseline (tests/CI/CD)

FAQ