How to orchestrate agents using mission control
Run multiple Copilot agents from one place. Learn prompt techniques, how to spot drift early, and how to review agent work efficiently.
On "AI Brendans" or "Virtual Brendans"
Partnering with Black Forest Labs to bring FLUX.2 -dev- to Cloudflare Workers AI
FLUX.2 [dev] by Black Forest Labs is now on Workers AI! This advanced open-weight image model offers superior photorealism, multi-reference inputs, and granular control with JSON prompting.
Why developers still flock to Python: Guido van Rossum on readability, AI, and the future of programming
Discover how Python changed developer culture—and see why it keeps evolving.
How GitHub’s agentic security principles make our AI agents as secure as possible
Learn more about the agentic security principles that we use to build secure AI products—and how you can apply them to your own agents.
Evolving GitHub Copilot’s next edit suggestions through custom model training
GitHub Copilot’s next edit suggestions just got faster, smarter, and more precise thanks to new data pipelines, reinforcement learning, and continuous model updates built for in-editor workflows.
5 shifts redefining design systems in the AI era
We spoke with product leaders and practitioners about the shifts they’re seeing in how design systems are built, used, and maintained.
How we’re making GitHub Copilot smarter with fewer tools
We’re using embedding-guided tool routing, adaptive clustering, and a streamlined 13-tool core to deliver faster experience in VS Code.
How to write a great agents.md: Lessons from over 2,500 repositories
Learn how to write effective agents.md files for GitHub Copilot with practical tips, real examples, and templates from analyzing 2,500+ repositories.
Efficient Optimization With Ax, an Open Platform for Adaptive Experimentation
We’ve released Ax 1.0, an open-source platform that uses machine learning to automatically guide complex, resource-intensive experimentation. Ax is used at scale across Meta to improve AI models, tune production infrastructure, and accelerate advances in ML and even hardware design. Our accompanying paper, “Ax: A Platform for Adaptive Experimentation” explains Ax’s architecture, methodology, and h
Vercel collaborates with Google for Gemini 3 Pro Preview launch
The Gemini 3 Pro Preview model, released today, is now available through AI Gateway and in production on v0.app.
Replicate is joining Cloudflare
Bringing Replicate’s tools into Cloudflare will continue to make our Workers Platform the best place on the Internet to build and deploy any AI or agentic workflow.
How Dash uses context engineering for smarter AI
Building effective, agentic AI isn’t just about adding more; it’s about helping the model focus on what matters most.
Unlocking the full power of Copilot code review: Master your instructions files
Discover practical tips, examples, and best practices for writing effective instructions files. Whether you’re new or experienced, you’ll find something to level up your code reviews.
TypeScript, Python, and the AI feedback loop changing software development
An interview with the leader of GitHub Next, Idan Gazit, on TypeScript, Python, and what comes next.
How Copilot helps build the GitHub platform
A breakdown of how Copilot coding agent has contributed to a better, more powerful GitHub.
Create new monetization opportunities with Stripe Billing’s recent upgrades
We recently released a series of improvements to expand multiprocessor support, give you more control over your billing and invoicing models, and better tailor your pricing for AI products. Here’s everything that’s new.
Meta’s Generative Ads Model (GEM): The Central Brain Accelerating Ads Recommendation AI Innovation
We’re sharing details about Meta’s Generative Ads Recommendation Model (GEM), a new foundation model that delivers increased ad performance and advertiser ROI by enhancing other ads recommendation models’ ability to serve relevant ads. GEM’s novel architecture allows it to scale with an increasing number of parameters while consistently generating more precise predictions efficiently. GEM propagat
ServiceNow and Figma launch strategic collaboration to turn design vision into enterprise transformation
AI platform, ServiceNow, and Figma announced a strategic collaboration to turn design vision into enterprise transformation.
GitHub Copilot CLI 101: How to use GitHub Copilot from the command line
Curious about using GitHub Copilot in your terminal? Here’s our guide to GitHub Copilot CLI, including a starter kit with the best prompts for a wide range of use cases.
TypeScript’s rise in the AI era: Insights from Lead Architect, Anders Hejlsberg
TypeScript just became the most-used language on GitHub. Here’s why, according to its creator.
How AI Gateway runs on Fluid compute
The AI Gateway is a simple application deployed on Vercel, but it achieves scale, efficiency, and resilience by running on Fluid compute and leveraging Vercel’s global infrastructure.
GitHub Copilot tutorial: How to build, test, review, and ship code faster (with real prompts)
How GitHub Copilot works today—including mission control—and how to get the most out of it. Here’s what you need to know.
Video Invisible Watermarking at Scale
At Meta, we use invisible watermarking for a variety of content provenance use cases on our platforms. Invisible watermarking serves a number of use cases, including detecting AI-generated videos, verifying who posted a video first, and identifying the source and tools used to create a video. We’re sharing how we overcame the challenges of scaling […]
Introducing Figma Weave: The next generation of AI-native creation at Figma
Figma has acquired Weavy, a platform that brings generative AI and professional editing tools into the open canvas.
Measuring what matters: How offline evaluation of GitHub MCP Server works
Take a look inside our automated pipeline for rapid, rigorous evaluation for the GitHub MCP Server.
Schema 2025: Design systems for a new era
As AI accelerates product development, design systems keep the bar for craft and quality high. Here’s everything we announced at Schema to help teams design for the AI era.
Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1
In this year’s Octoverse, we uncover how AI, agents, and typed languages are driving the biggest shifts in software development in more than a decade.
Securing agentic commerce: helping AI Agents transact with Visa and Mastercard
Cloudflare is partnering with Visa and Mastercard to help secure the future of agentic commerce.
How to find, install, and manage MCP servers with the GitHub MCP Registry
Learn how to bring structure and security to your AI ecosystem with the GitHub MCP Registry, the single source of truth for managing and governing MCP servers.
With Mobius Labs' Aana models, we're bringing deeper multimodal understanding to Dropbox Dash
Dropbox welcomes Mobius Labs to advance Dash’s multimodal AI, integrating Aana’s efficient architecture to enhance photo and video understanding at Dropbox scale.
Half-Quadratic Quantization of large machine learning models
Learn how Half-Quadratic Quantization (HQQ) makes it easy to compress large AI models without sacrificing accuracy—no calibration data required.
The road to better completions: Building a faster, smarter GitHub Copilot with a new custom model
Find out about the latest custom models powering the completions experience in GitHub Copilot.
Zero-config backends on Vercel AI Cloud
Build, scale, and orchestrate AI backends on Vercel. Deploy Python or Node frameworks with zero config and optimized compute for agents and workflows.
AI agents and services on the Vercel Marketplace
Agents and Tools are available in the Vercel Marketplace, enabling AI-powered workflows in your projects with native integrations, unified billing, and built-in observability.
From karaoke terminals to AI résumés: The winners of GitHub’s For the Love of Code challenge
This summer, we invited devs to participate in our hackathon for joyful, ridiculous, and wildly creative projects. Here are the winners of For the Love of Code!
How to update community health files with AI
Have you ever thought about using AI to update community health files for your repositories? This blog shares actionable next steps for doing just that, including a starter kit with a checklist and tutorials on how to create three useful files.
Accelerate developer productivity with these 9 open source AI and MCP projects
GitHub Copilot and VS Code teams, along with the Microsoft Open Source Program Office (OSPO), sponsored these nine open source MCP projects that provide new frameworks, tools, and assistants to unlock AI-native workflows, agentic tooling, and innovation.
Scaling LLM Inference: Innovations in Tensor Parallelism, Context Parallelism, and Expert Parallelism
At Meta, we are constantly pushing the boundaries of LLM inference systems to power applications such as the Meta AI App. We’re sharing how we developed and implemented advanced parallelism techniques to optimize key performance metrics related to resource efficiency, throughput, and latency. The rapid evolution of large language models (LLMs) has ushered in a […]
AI In UX: Achieve More With Less — Smashing Magazine
A simple but powerful mental model for working with AI: treat it like an enthusiastic intern with no real-world experience. Paul Boag shares lessons learned from real client projects across user research, design, development, and content creation.
Copilot: Faster, smarter, and built for how you work now
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant.
Agents at work, a partnership with Salesforce and Slack
Vercel and Salesforce are partnering to help teams build, ship, and scale AI agents across the Salesforce ecosystem, starting with Slack.
How GitHub Copilot and AI agents are saving legacy systems
GitHub Copilot and AI agents are making legacy COBOL systems accessible to modern developers.
GitHub Copilot CLI: How to get started
Discover how to use GitHub Copilot directly in the terminal. From cloning a repository to opening a pull request, here’s how to streamline your workflow with Copilot CLI.
How to build reliable AI workflows with agentic primitives and context engineering
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
The Grayscale Problem — Smashing Magazine
From A/B tests to AI slop, the modern web is bleeding out its colour. Standardized, templated, and overoptimized, it’s starting to feel like a digital Levittown. But it doesn’t have to be.
How AI Agents are Evolving Shopify's Product Taxonomy at Scale (2025) - Shopify
Our prior work used Vision Language Models for automatic product classification. This post delves into how AI agents are evolving the taxonomy itself.
Completing urgent fixes anywhere with GitHub Copilot coding agent and mobile
Unlock the full potential of the GitHub platform. See how Copilot coding agent and GitHub Mobile combine to help you tackle development tasks and urgent fixes, no matter where you are.
How GitHub Copilot enabled accessibility governance process improvements in record time
See how we turned weekly accessibility signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.
Introducing our agentic commerce solutions
Last week, we shared the Agentic Commerce Protocol (ACP), a new open standard that enables programmatic agentic flows. Here are some of the other steps Stripe is taking to build agentic commerce solutions for AI platforms and businesses.
The developer role is evolving. Here’s how to stay ahead.
AI is changing how software gets built. Explore the skills you need to keep up and stand out.
Intent Prototyping: A Practical Guide To Building With Clarity (Part 2) — Smashing Magazine
Ready to move beyond static mockups? Here is a practical, step-by-step guide to Intent Prototyping — a disciplined method that uses AI to turn your design intent (UI sketches, conceptual models, and user flows) directly into a live prototype, making it your primary canvas for ideation.
Building Dash: How RAG and AI agents help us meet the needs of businesses
To meet the challenges of modern work in data-intensive environments, we ultimately turned to retrieval-augmented generation and AI agents.
A practical blueprint for evaluating conversational AI at scale
Building Dropbox Dash taught us that in the foundation-model era, AI evaluations matter just as much as model training.
Evolving our infrastructure through the messaging system model in Dropbox
The MSM helped us build a unified event-driven system capable of orchestrating a wide range of asynchronous tasks and meeting future needs, especially as we focus on AI.
Seventh-generation server hardware at Dropbox: our most efficient and capable architecture yet
This generation represents our most efficient, capable, and scalable architecture yet—and it’ll help us as we continue to build AI products like Dropbox Dash.
Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✨
LLMs Are the Key to Mutation Testing and Better Compliance
Following our keynote presentations at FSE 2025 and Eurostar 2025, we’re delving further into the development of Meta’s Automated Compliance Hardening (ACH) tool, an LLM-based tool for software testing that is automating aspects of compliance adherence at Meta, while accelerating developer and product velocity. By leveraging LLMs we’ve been able to overcome the barriers that […]
Meta 3D AssetGen: Generating 3D Worlds With AI
Imagine being able to use AI to create 3D virtual worlds using prompts as easily as you can generate images. The intersection of AI and VR was one of the biggest topics at Meta Connect this year. In his keynote, Mark Zuckerberg shared his vision of a future where anyone can create virtual worlds using […]
Meta’s Infrastructure Evolution and the Advent of AI
Over the past 21 years, Meta has grown exponentially from a small social network connecting a few thousand people in a handful of universities in the U.S. into several apps and novel hardware products that serve over 3.4 billion people throughout the world. Our infrastructure has evolved significantly over the years, growing from a […]