AI Insights

We surveyed 2,000 people on software development teams at enterprises in the U.S., Brazil, India, and Germany about the use, experience, and expectations around generative AI tools in software development.

Unstructured data holds valuable information about codebases, organizational best practices, and customer feedback. Here are some ways you can leverage it with RAG, or retrieval-augmented generation.

Here’s how SAST tools combine generative AI with code scanning to help you deliver features faster and keep vulnerabilities out of code.

GitHub Copilot increases efficiency for our engineers by allowing us to automate repetitive tasks, stay focused, and more.

Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge.

GitHub Copilot is a powerful AI assistant. Learn practical strategies to get the most out of GitHub Copilot to generate the most relevant and useful code suggestions in your editor.

While AI revolutionizes software development, it still relies on developers to pilot its use. In this blog, we’ll cover the skills that developers need to have for navigating this new AI-powered coding frontier.

Learn how your organization can customize its LLM-based solution through retrieval augmented generation and fine-tuning.

Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise.

In practice, shifting left has been more about shifting the burden rather than the ability. But AI is bringing its promise closer to reality. Here’s how.

GitHub Copilot is widely known for its code generation feature. Learn how the AI assistant’s abilities can extend beyond just code generation.

As we look to empower developers with AI tools, we inadvertently integrate AI deeper into the way developers work. How do developers feel about that? And what are the most impactful ways to introduce more AI into workflows? We recently conducted 25 in-depth interviews with developers to understand exactly that.

Developers care about security, but poorly integrated tools and other factors can cause frustration. Here are five best practices to reduce friction.

Learn how we’re experimenting with generative AI models to extend GitHub Copilot across the developer lifecycle.

Discover new AI-powered features and tools to help developers stay in the flow and organizations innovate at scale.