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AI Agent SystemsBusiness AutomationRAG ChatbotsVoice + WhatsApp AgentsCustom AI WorkflowsCustom Web AppsE-Commerce PlatformsAPI + Backend BuildsDatabase ArchitecturePerformance OptimizationAI Agent SystemsBusiness AutomationRAG ChatbotsVoice + WhatsApp AgentsCustom AI WorkflowsCustom Web AppsE-Commerce PlatformsAPI + Backend BuildsDatabase ArchitecturePerformance Optimization
06 · Sub-discipline

Performance + Platform Engineering

Core Web Vitals, edge rendering, caching, observability.

When your site loads in 4 seconds and bounces on mobile, this is the bucket. Bundle / image / font diet, edge rendering, ISR, caching strategy, and the observability to keep it that way.

What you get

4 pillars

Core Web Vitals

LCP / INP / CLS targeted in the green band, on the slowest device your customer is plausibly on.

Edge + streaming

Edge rendering, partial prerendering, streaming HTML — moved to where it makes sense, not everywhere.

Cache strategy

CDN, Redis, Vercel runtime cache, framework caches — designed as one strategy, not five accidents.

Observability

RUM + synthetic + server traces, with budgets and alerts. Performance is a number, not a vibe.

Tools we reach for

Not exhaustive
VercelCloudflareRedisNext.js PPRTurbopackSentryOpenTelemetry

Frequently asked

4 questions

What is Core Web Vitals and why does it matter?

Google's page-experience metrics: LCP (loading), INP (interactivity), CLS (visual stability). They are direct ranking factors since 2024. Fast sites rank higher, convert better, and bounce less. The wins compound.

How do you improve LCP and INP scores?

LCP: prioritize the hero asset, preload critical fonts, push image work to a CDN, use streaming SSR or Partial Prerendering. INP: defer non-critical JS, split heavy event handlers, avoid long tasks, and use the Scheduler API to break work into yieldable chunks.

Edge functions or Node runtime?

Edge for latency-sensitive routes (auth gates, redirects, personalized headers). Node (Fluid Compute on Vercel) for heavy compute, large dependencies, or stateful workloads. Vercel's default Fluid Compute now eliminates most cold-start arguments.

How is cache invalidation managed?

Tag-based invalidation (Next.js cacheTag, Vercel Runtime Cache API) — purge by tag instead of by URL, so editorial changes only clear what they touched. Mutations call updateTag explicitly; nothing relies on TTL guessing.

Sounds like the bucket you’re in?

Tell me what you’re trying to build. I’ll send a written proposal within 48 hours of our discovery call.