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JetBrains AI Assistant, coupled with PhpStorm, can bring about a transformative change in your testing routine.

Strengths and weaknesses of JetBrains AI Assistant, examples of edge cases, and strategies to get better results.

Take a more test-driven-development approach, writing tests first, and having AI Assistant generate an implementation.

Scenarios to generate test data with the JetBrains AI Assistant for .NET unit tests to produce a more valuable and less brittle test suite.

Generate boiler plate code and jump straight to the more interesting part of making tests.

The design challenges of adding AI tools to software products, and the team’s particular interest in auto-generating code documentation.

Luckily, code never lies, and with the growing capabilities of LLMs and AI Assistants to parse and summarize input, we can start to focus our understanding of prior work and make plans to extend or modify a codebase.

Using AI Assistant to write a new Java inspection for IntelliJ IDEA, and write down my experience.

AI Assistant provides AI-powered features for software development based on the JetBrains AI service.

See demonstrations of some of AI Assistant’s most exciting features as well as a deeper dive into how it works.

How AI can help you with writing and refactoring code, generating documentation and creating commit messages.

The implementation of JetBrains AI – the backbone of AI Assistant, Grazie, and other JetBrains products.