5 items
Analyze Salesforce Apex classes for code quality, security vulnerabilities, and best practices directly in the browser. SF Apex Analyser is a Chrome extension designed for Salesforce developers who want to improve the quality and reliability of their Apex code. Instead of just giving static guidelines, it inspects each Apex class and highlights areas that may affect maintainability, scalability, or performance. With SF Apex Analyser, you can quickly understand how well your code aligns with Salesforce coding standards and identify areas to refactor — before issues reach production. 🔹 Key Features • Apex Class Analysis – Scan Apex classes line by line for potential issues • Code Quality Insights – Identify unused variables, inefficient loops, and hard-coded values • Best Practice Checks – Highlight missing bulkification, improper exception handling, or DML in loops • Maintainability Metrics – Detect overly complex methods and suggest simplifications • Developer-Friendly Output – Clear reports that make it easy to act on findings 🔹 Why Developers Use SF Apex Analyser • Save time during code reviews by catching common mistakes early • Improve long-term maintainability of Salesforce orgs • Reduce performance issues by following recommended patterns • Support team-wide consistency with standardized checks Whether you’re a Salesforce Developer, Technical Lead, or Architect, SF Apex Analyser helps you ensure your Apex code is clean, optimized, and production-ready. Bring better coding discipline to your Salesforce projects with SF Apex Analyser 🚀.
Sep 24, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.