Learn how Matter AI helps in code quality analysis and recommendations
Code Quality is available on all plans.
This guide walks you through the code quality features of Matter AI, which helps identify and fix code quality issues in your code.
Get a quick and short summary of the code quality recommendations in your PR summary.
We follow a large list of anti-patterns for multiple languages and frameworks to identify code quality issues.
Here’s an example list of performance-related topics that Matter AI can identify and help fix:
Redundant computations, inefficient collection iteration, nested loops with high complexity
Excessive DOM manipulations, layout thrashing, unoptimized images and assets
Blocking the main thread, inefficient algorithms, unnecessary calculations
N+1 queries, missing indexes, inefficient joins, connection management
Unclosed resources, circular references, accumulating event listeners
Using wrong data structures for specific operations, poor data organization
Synchronous file operations, blocking I/O, inefficient resource handling
Inefficient string concatenation, excessive regular expressions, encoding issues
Creating objects in loops, unnecessary object allocation, object pooling issues
Unoptimized API calls, excessive data transfer, connection management
Missing cache implementation, ineffective cache invalidation strategies
Improper implementation of lazy loading patterns, premature loading
Inefficient serialization/deserialization of large objects, format selection
Thread contention, lock contention, connection pool exhaustion
Over-synchronization, lock granularity problems, deadlocks
Using algorithms with poor time complexity, brute force approaches