Architecture Audit

• Architecture structure — SPA/API, server-first, hybrid models and their trade-offs
• Build & deployment pipeline — efficiency, error-proneness, CI/CD maturity
• Dependency structure — update overhead, security risks, unnecessary complexity
• Client state & data flows — consistency, maintainability, overengineering
• Performance under load — bundle sizes, load times, caching strategies
• Integration & API complexity — coupling, failure points, versioning
• Maintenance & scaling risks — technical debt, team dependencies

Architectural problems grow quietly. Releases slow down, dependencies accumulate, and eventually every change costs more than it should. An audit creates clarity — before the problem becomes expensive.

• The codebase has grown — and so has the confusion
• Releases take longer than they used to or regularly introduce bugs
• Dependency updates are postponed because they feel too risky
• Performance issues appear with no clear root cause
• A major architectural decision is coming up and you want an independent opinion
• The team is changing and handover is harder than expected

For example: in our own comparison of two web architectures, we found 105× lower blocking time, 22× less data transferred, and 11.6× fewer dependencies — through a better architectural decision that wouldn’t have required a full rewrite.