AI Coding Assistants

AI coding assistants

Find out how AI coding assistants like GitHub Copilot, Amazon Q, and Google Code Assist, when combined with Sonar, can boost developers' productivity and ensure secure, stable code.

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GitHub Copilot

As developers increasingly rely on AI tools like GitHub Copilot for code generation, ensuring the quality of AI-generated code becomes crucial. Implementing best practices such as code reviews and automated testing can solve this.

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Google Gemini Code Assist

Generative AI (GenAI) and large language models (LLMs) are transforming software development by enhancing productivity. Tools like Google Gemini Code Assist offer in-IDE code suggestions, autocompletion, and debugging to streamline coding.

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Amazon Q

Amazon Q stands out as a leading AI assistant by seamlessly integrating into your IDE to generate, test, and debug code with advanced reasoning and multistep planning, while also offering enterprise data integration.

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Sonar + AI coding assistants: a winning combination.

Velocity

Accelerate development cycles by resolving AI coding issues in the DevOps pipeline, delivering faster time-to-market.

Productivity

Ensure AI-generated code meets high standards before building and testing, reducing time to debug and rework.

Peace of mind

Build confidence in your generative AI codebase by performing code reviews using Sonar to eliminate issues.

Developer happiness

With tools that streamline the verification of AI code and provide guided learning, Sonar leads to greater job satisfaction.

"Sonar helps our development team confidently make both AI-assisted and human-developed code fit for production by reviewing and establishing rules of good programming practices to achieve better code and avoid typical errors."

Dario Flores, Technical Quality Specialist