Skill UI

This comprehensive guide outlines best practices for writing high-quality, scalable, and maintainable code in .NET/C#. It covers core architectural principles, including SOLID, dependency injection, and design patterns (e.g., Command Handler). Furthermore, it addresses modern challenges such as structured logging, async/await patterns, secure coding, robust testing standards, and advanced AI integration using Semantic Kernel.

This comprehensive guide provides best practices for developing robust and efficient data access layers using Entity Framework Core. It covers critical areas including DbContext design, performance optimization (e.g., AsNoTracking, Select projection), secure querying techniques, migration strategies, and testing methodologies, ensuring the creation of scalable and maintainable applications.

This skill teaches users to apply the scientific method to software debugging. Instead of random changes, it guides the process through five steps: Observation, Hypothesizing, Prediction, Testing, and Analysis. By systematically forming and testing specific, measurable hypotheses, users can efficiently isolate failing components and confirm the true root cause of technical issues.

This guide provides comprehensive best practices for writing robust and effective unit tests using JUnit 5 in Java. It covers standard test structures (Arrange-Act-Assert), advanced data-driven testing using parameterized methods, best assertion practices (including AssertJ), and dependency isolation using mocking frameworks like Mockito. Ideal for developers aiming to improve code coverage and test reliability.

This comprehensive guide outlines established best practices for developing robust, scalable, and high-quality enterprise applications using Spring Boot and Java. It covers structuring projects, implementing dependency injection, designing RESTful APIs, managing transactions, securing endpoints, and utilizing advanced testing strategies (Unit, Integration). Ideal for developers aiming for industry-standard code quality.

This comprehensive guide outlines best practices for writing robust JavaScript and TypeScript unit tests using the Jest framework. It covers essential topics including proper test structure, effective dependency mocking strategies (using jest.mock and jest.spyOn), handling asynchronous code, implementing snapshot testing, and modern techniques for testing React components with React Testing Library. It also provides a detailed reference of common Jest matchers.

This comprehensive guide outlines best practices for developing high-quality, idiomatic, and maintainable enterprise applications using Kotlin and Spring Boot. It covers architectural patterns, dependency injection using primary constructors, managing state with data classes, implementing robust RESTful APIs, handling transactions, and leveraging Kotlin features like null safety and Coroutines for asynchronous programming. It also provides guidance on modern testing strategies (Kotest, Testcontainers).

This guide provides comprehensive patterns for migrating Enzyme unit tests to React Testing Library (RTL), especially when upgrading to React 18. It emphasizes the crucial philosophical shift from testing internal implementation details (like state or props) to asserting visible user behavior. Learn best practices for rewriting shallow/mount/simulate calls into modern, accessible, and resilient RTL queries, ensuring your tests reflect how a user genuinely interacts with the component.

This guide implements the Red-Green-Refactor cycle, the core methodology of Test-Driven Development (TDD). It teaches developers to first write a failing test (RED), then implement the minimum required code to make the test pass (GREEN), and finally improve the structure and clarity of the code without changing its behavior (REFACTOR). Use this guide when mastering TDD, ensuring robust unit test coverage, or following best practices for writing resilient software.

A comprehensive guide and workflow for identifying behavioral risks when migrating applications from Oracle to PostgreSQL. It cross-references code against known differences in complex areas such as empty strings, refcursors, type coercion, sorting, and concurrent transaction handling. Essential for both pre-migration architectural planning and post-migration validation testing.

This comprehensive guide outlines essential best practices and structural checks for developing robust Salesforce Apex code. It covers critical areas such as preventing governor limit exceptions (e.g., bulk safety), enforcing security (CRUD/FLS), preventing SOQL injection, adhering to sharing models, and implementing modern Apex idioms. It also mandates rigorous testing strategies (Positive, Negative, Bulk) and proper trigger architecture.

Leverage AI-powered exploratory testing to thoroughly audit web applications and verify functionality. This skill simulates user interaction, detecting complex bugs, validating critical flows (like checkout or login), and checking accessibility compliance. Use it proactively after development to ensure quality before deployment.