Vue Code Audit
Audit your Vue codebase. Fix reactivity pitfalls, clean up Pinia stores, and modernize component architecture.
Reactivity Bugs, API Splits, and Pinia Sprawl
Reactivity issues are the most subtle problems in Vue codebases. We find watchers with deep: true on large objects, triggering on every nested change when only one property matters. Computed properties referencing state through non-reactive paths, producing stale values. And the classic: mutating props directly instead of emitting events, which works until it silently breaks parent-child sync.
The Options API versus Composition API split creates real maintenance cost. Half the components use one pattern, half use the other, with no clear criteria. Mixins coexist with composables. Some components use this.$store, others use useStore(). New developers don’t know which pattern to follow, so they pick whatever the nearest file uses.
Pinia stores grow without boundaries. A store that started with authentication now handles preferences, notifications, themes, and feature flags. Actions call other stores’ actions. Getters depend on values from multiple stores. The state graph becomes a web. Vue Router configuration accumulates complexity too - guards checking auth, authorization, feature flags, and onboarding, sometimes redirecting to each other in loops.
Tracing Reactivity, Coupling, and Router Guards
We analyze reactivity at the component level. Using Vue DevTools, we track which dependencies each component has, when they trigger updates, and whether those updates are necessary. We identify watchers that fire too often and computed properties with expensive calculations that should be cached differently.
Component architecture gets reviewed for composition patterns. We map the component tree to understand coupling - which components can’t function without specific parents, and which are truly reusable. Pinia stores get mapped as a dependency graph: which stores subscribe to which, which actions trigger cross-store changes, where the same data lives in multiple stores.
Vue Router gets a full audit. Every route, guard, and middleware is documented. We trace navigation flows for critical journeys - login, onboarding, protected resources, expired sessions. We verify no guard combination creates infinite redirects and that error states are handled.
Predictable Updates and Consistent Patterns
Reactivity becomes predictable. Components update when their data changes and only when their data changes. Deep watchers are replaced with targeted ones. The component tree doesn’t re-render 50 components when a single value changes.
Your codebase adopts a consistent API pattern. Whether fully Composition API or a documented hybrid, the criteria are clear. Mixins get replaced with composables. Every developer knows which pattern to use and why.
State management becomes traceable. Pinia stores have clear boundaries and ownership. Cross-store dependencies are explicit and minimal. Debugging drops from hours to minutes. Navigation is reliable - guards execute in documented order with clear responsibilities, and edge cases have defined behavior.
Composition API Conversions and Store Refactoring
Our AI analysis detects reactivity anti-patterns across your component tree. Computed properties calling methods with side effects. Watchers modifying the data they watch. ref/reactive confusion where primitives are wrapped in reactive() instead of ref(). Each finding includes the corrected pattern.
We generate Composition API equivalents for Options API components. Not mechanical translations - we extract reusable logic into composables, convert mixins into composition functions, and restructure lifecycle hooks. The generated code preserves behavior while eliminating maintenance overhead.
Template complexity analysis identifies components that should be decomposed. We score templates on directive nesting depth, expression complexity, and slot usage. Pinia store analysis generates refactoring plans - stores with overlapping state get consolidation suggestions, stores with too many responsibilities get split proposals. Each suggestion includes before and after code with incremental migration steps.