Results for “pe”

Audits design quality across accessibility, performance, theming, and responsiveness, producing a prioritized report with severity ratings and fix recommendations.

Measures application performance first, identifies bottlenecks, and applies targeted fixes for frontend and backend systems.

Controls and inspects a live Chrome browser for automation, debugging, and performance profiling using the Chrome DevTools MCP server.

Optimizes Spline 3D scenes for web performance and mobile devices, covering file size checks, loading strategies, and Core Web Vitals.

Improve cache efficiency, latency, and throughput for AMS deployments using the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration.

Optimize web performance by applying browser networking, protocol, and rendering principles to reduce latency and improve Core Web Vitals.

Audit AEM Edge Delivery Services pages for content quality, SEO, accessibility, performance, and EDS best practices, producing a prioritized fix list with remediation steps.

Optimizes React and Next.js performance with 69 prioritized rules covering waterfalls, bundle size, server-side rendering, and re-rendering patterns.

Optimize React and Next.js applications with 70 performance rules across 8 categories, prioritized by impact for automated refactoring and code generation.

Review code for AEM Edge Delivery Services projects, validating code quality, performance, accessibility, and adherence to EDS best practices during self-review or pull request review.

Optimizes Lightning Web Components for slow initial load, heavy rerenders, large-list rendering, payload reduction, and lazy instantiation choices such as lwc:if, tabs, or dynamic components.

Add EAS Observe to an Expo project for startup, navigation, and custom-event performance tracking, query metrics via the EAS CLI, and interpret results.

Optimiza el rendimiento web midiendo Core Web Vitals, analizando el bundle y aplicando mejoras como lazy loading, code splitting y optimización de imágenes y fuentes.

Optimizes content for AI-powered search engines like Perplexity, ChatGPT Search, and Google AI Overviews by restructuring pages, implementing schema, and building topical authority clusters to increase citations in zero-click answers.

Audit images across AEM Edge Delivery Services pages for SEO and performance, checking alt text quality, dimensions, lazy loading, fetch priority, file naming, and decorative image handling, and generate per-page reports with fix instructions.

Measure performance baselines, detect regressions before and after PRs, and compare stack alternatives using browser, API, and build benchmarks.

Performs deterministic, LLM-first SEO audits for websites, blog posts, and GitHub repositories, producing prioritized, confidence-labeled fixes.

Audits images on a webpage for SEO and performance, checking alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention.

Audits a website from three perspectives—design, SEO/technical, and LLM/AI-search visibility—and produces a scored, evidence-bound report with prioritized improvements.

Analyzes web page images for SEO and performance, checking alt text, file sizes, formats, responsive attributes, lazy loading, and CLS prevention, then produces an audit summary and prioritized optimization list.

Designs and iterates production-grade frontend interfaces, covering UX review, visual hierarchy, accessibility, performance, responsive behavior, theming, typography, layout, color, motion, and design systems. Handles websites, landing pages, dashboards, product UI, components, forms, and more.

Audits and fixes technical SEO, on-page metadata, structured data, Core Web Vitals, llms.txt, and AI-search optimization for ChatGPT, Perplexity, and AI Overviews, including E-E-A-T signals and programmatic SEO.