
How to responsibly adopt GitHub Copilot with the GitHub Copilot Trust Center
We’re launching the GitHub Copilot Trust Center to provide transparency about how GitHub Copilot works and help organizations innovate responsibly with generative AI.
936 articles on AI & ML.

We’re launching the GitHub Copilot Trust Center to provide transparency about how GitHub Copilot works and help organizations innovate responsibly with generative AI.

All GitHub Copilot for Business users now have access to a limited GitHub Copilot Chat beta, bringing the power of conversational coding right to the IDE.

As a design organization, we have the opportunity to make a significant impact on designing the platform for all developers. How does the emergence of creative AI impact our work? How can we achieve an inclusive experience for a spectrum of all abilities? What does designing for developer happiness look like?

Prompt engineering is the art of communicating with a generative AI model. In this article, we’ll cover how we approach prompt engineering at GitHub, and how you can use it to build your own LLM-based application.

Meet the 40 startups and builders of the Vercel AI Accelerator.

We are building an experimental AI co-pilot for product strategy and generative ideation called “Boba”. Along the way, we’ve learned some useful lessons on how to build these kinds of applications, which we’ve formulated in terms of patterns. These patterns allow an application to help the user interact more effectively with a Large-Language Model (LLM), orchestrating prompts to gain better result

Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion.

Today we’re announcing new Constellation features, explain why it’s the first globally distributed AI platform and why deploying your machine learning tasks in our global network is advantageous.

Dive into an article where you will build an app that evaluates audio files for positive and negative sentiments. The idea is that you will create an interface for uploading an audio file, then transcribe the contents into text before analyzing the text and assigning it a positive or negative score for how the tone is perceived.

AI is more than a product, it’s a platform that will change how and what we design—and who gets involved.

In this prompt guide for GitHub Copilot, two GitHub developer advocates, Rizel and Michelle, will share examples and best practices for communicating your desired results to the AI pair programmer.

We'll describe the technical strategies that have enabled us to expand the number of machine learning features and models, all while substantially reducing the processing time for each HTTP request on our network

How we optimized bot management’s machine learning model execution

An interoperable, streaming-enabled, edge-ready software development kit for AI apps built with React and Svelte.

A 6 week program with over $850k in credits from Vercel and top AI platforms.

We surveyed 500 U.S.-based developers at companies with 1,000-plus employees about how managers should consider developer productivity, collaboration, and AI coding tools.

At Spotify, we use messaging to communicate with our listeners all over the world. Our Messaging team powers and creates delightful foreground and background communications across the Spotify experience, experimenting with and tailoring the perfect journey for each user across our platform. Today we are able to send messages through WhatsApp, SMS, email, push notifications, contextual in-line form

Earn best practices for securing generative AI applications based on Cloudflare's experience protecting some of the largest AI applications in the world

Developers behind GitHub Copilot discuss what it was like to work with OpenAI’s large language model and how it informed the development of Copilot as we know it today.

With a new Fill-in-the-Middle paradigm, GitHub engineers improved the way GitHub Copilot contextualizes your code. By continuing to develop and test advanced retrieval algorithms, they’re working on making our AI tool even more advanced.

Bootstrapped AI startups can get the startup plan without accelerator affiliation

Check out Cursor - our experimental AI assistant trained to answer questions about Cloudflare’s Developer Platform!

The recent arrival of LLMs capable of assisting programmers in writing, debugging and modifying code is yet another step. It’s a step at both making programmers more productive and helping more people be programmers

Here’s how, in seven steps, I built my first browser extension with GitHub Copilot—and my three major takeaways about learning and pair programming in the age of AI.

Explore how generative AI coding tools are changing the way developers and companies build software.

The rise of Artificial Intelligence (AI) in recent times has incited fear in many over losing their jobs. However, that shouldn’t be the case. On the contrary, AI is an opportunity to take your programming to the next level when used tactfully with the right knowledge, as we’ll cover today.

GitHub CEO Thomas Dohmke demonstrated the power of GitHub Copilot X live on stage.

Rapid advancements in generative AI coding tools like GitHub Copilot are accelerating the next wave of software development. Here’s what you need to know.

My account of an internal chat with Xu Hao, where he shows how he drives ChatGPT to produce useful self-tested code. His initial prompt primes the LLM with an implementation strategy (chain of thought prompting). His prompt also asks for an implementation plan rather than code (general knowledge prompting). Once he has the plan he uses it to refine the implementation and generate useful sections o

Explore how generative AI may soon help enable optimizing some of the foundational components of compliance.

Generative AI has been dominating the news lately—but what exactly is it? Here’s what you need to know, and what it means for developers.

This article highlights non-technical skills like curiosity, observation, empathy, advocacy, visual communication, and collaboration that designers routinely use in their process to make a difference through design. AI can be used to augment designers’ workflow instead of replacing people.

As of March 8, 2023, Spotify has started serving short previews for music, podcasts, and audiobooks on the home feed. (You can see the announcement at Stream On , starting at 19:15.) This is a huge lift for in-app content discovery — a move away from making listening decisions based on static content, such as cover art, to using the audio content itself as a teaser. It has been an effort across ma

Learn how GitHub’s one, integrated platform–powered by AI and secure at every step—helps developer teams be more productive, collaborative, and efficient.

GitHub Copilot is evolving to bring chat and voice interfaces, support pull requests, answer questions on docs, and adopt OpenAI’s GPT-4 for a more personalized developer experience.

Large language models like GPT-4 are becoming increasingly capable, at an alarming rate. Within a couple of years, we won't need developers any more! …Or at least, that's the narrative going viral on social media. I'm much more optimistic about what these AI advancements mean for the future of software development.

The recent news reports of AI cracking post-quantum cryptography are greatly exaggerated. In this blog, we take a deep dive into the world of side-channel attacks and how AI has been used for more than a decade already to aid it

Today we’re announcing that Cloudflare can now automatically discover all API endpoints and learn API schemas for all of our API Gateway customers

Cloudflare Fraud Detection uses machine learning models to better protect businesses from fake account signups, account takeover attacks, and carding attacks to ensure businesses can operate online safely

Learn how developers with disabilities are pushing the boundaries of accessibility with ingenuity, open source, and generative AI on The ReadME Project.

Learn how Shopify Data built new online inference capabilities into its Machine Learning Platform to deploy and serve models for real-time prediction at scale.

In this article, Nick and Gleb cover the current state of design, answer common questions designers have about AI tools, and share practical tips on how designers can make the most of using AI tools.

Unlock the full potential of GitHub Codespaces with these 10 tips and tricks! From generating AI images to running self-guided coding workshops, discover how to optimize your software development workflow with this powerful tool.

GitHub Copilot boosts developer productivity, but using it responsibly still requires good developer and DevSecOps practices.

We’re launching new improvements to GitHub Copilot to make it more powerful and more responsive for developers.

GitHub Copilot is the world’s first at-scale AI developer tool and we’re now offering it to every developer, team, organization, and enterprise.

We tackle some of the unique challenges of scaling multimodal machine learning models that operate on media assets (video, audio, and text).


Below are my prepared remarks delivered at the EU Open Source Policy Summit in Brussels on Feb 3rd.

As the field of machine learning (ML) continues to evolve and its impact on society and various aspects of our lives grows, it is becoming increasingly important for practitioners and innovators to consider a broader range of perspectives when building ML models and applications. This desire is driving the need for a more flexible and scalable ML infrastructure.

Historical tutorial for a GPT-3 Twitter bio generator. For new AI apps on Vercel, use Vercel Functions with Fluid compute and streaming.

How do we design effective reviews and ratings? With a distribution chart, decimal scores, tags, recommendation score and unedited product photos.

Deploying AI-driven apps on Vercel is easier than ever before. Here's some templates and tooling to jump-start your AI application.

In this episode, we ask whether technology is making us redundant; will we all soon be replaced with AI? Vitaly Friedman talks to Tejas Kumar to find out.

In this article, Keima Kai provides a brief history of AI in web design, explores its current implications for creativity, and offers suggestions for how web designers can stay ahead of the curve.

GitHub Copilot for Business is officially here with simple license management, organization-wide policy controls, and industry-leading privacy—all for $19 USD per user per month.

Discover the exciting enhancements in GitHub that empower Machine Learning practitioners to do more.

We will begin to introduce several new capabilities to GitHub Copilot in 2023 to continue delivering responsible innovation and true happiness at the keyboard.

GitHub is sponsoring Open Source Initiative’s Deep Dive: AI because we think it’s important for the community to unpack how open source software, process, and principles can help best deliver on the promise of AI.

Owing to tremendous advancements in Machine Learning and other technologies, chatbots have increased in popularity in the past few years. This article will show you, step by step, how to build a chatbot that meets your business goals.