How do you optimise the performance of a large Vue application?
Assesses fundamental understanding of Vue.js conventions, runtime behavior, and memory/performance considerations.
Hiring managers look for precision, avoidance of ambiguous jargon, and ability to explain trade-offs under real production conditions.
Practical Vue 3 optimisations: use computed instead of methods in templates so results are cached, and split large components. Prefer shallowRef or shallowReactive for large immutable datasets so Vue does not deep-proxy every object, and wrap constants in markRaw.
Use v-once for static content and v-memo to skip re-rendering subtrees when selected dependencies are unchanged. Virtualise long lists rather than rendering thousands of rows, and use KeepAlive only where state must persist.
Keep the reactivity graph narrow by avoiding huge reactive objects and reading .value only when needed. Lazy-load routes and heavy components with defineAsyncComponent, and split vendor bundles so caching survives deploys.
For SSR, enable streaming and avoid blocking work in setup. Measure first with the browser performance panel and the Vue Devtools profiler; premature micro-optimisation often hurts readability more than it helps, and the profiler usually shows one or two real bottlenecks.
Candidate Response Strategy & Interview Tips
- Start with a concise one-sentence summary: Deliver a direct, confident answer first before expanding into nuances.
- Demonstrate real-world trade-offs: Discuss where this approach excels and when you would avoid it in production systems.
- Discuss complexity & edge cases: Proactively explain time/space complexity or boundary conditions (null values, scale limits).
- Prepare for interviewer follow-ups: Technical hiring panels frequently probe deeper into concurrency, backward compatibility, or alternative libraries.