Service
Software architecture
When an application becomes hard to evolve, the problem is not always visible in a single feature. It often sits in the architecture: dependencies, system decomposition, technical debt, insufficient tests, poorly separated responsibilities or historical choices that have become blocking.
Understand before refactoring
I start by analyzing the existing system: code, architecture, data flows, dependencies, delivery process, business constraints and team pain points. The goal is to propose realistic improvements, not a theoretical rebuild.
Design architecture that fits the context
Not every application needs microservices, event sourcing or a complex architecture. I favor proportionate choices: modularization, responsibility-based decomposition, clarified boundaries, better testing and reduced unnecessary dependencies.
Make evolution less risky
A good architecture makes delivery calmer. It facilitates change, limits regressions, makes the code easier to understand and reduces dependency on a few key people.
Possible deliverables
- Architecture audit
- Technical mapping
- Prioritized recommendations
- Incremental refactoring plan
- Team support
- Implementation of technical conventions
- Support for structural decisions
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