Context matters when you’re working with AI. Every codebase has its own house rules: how components are structured, which scripts to run, and which conventions apply to different frameworks and file types.
Official announcementGitHub BlogChristopher Harrison
GitHub Copilot app for Beginners: How to teach Copilot about your codebase
From the official release
Copilot can help you make changes across a project, but it works best when it knows those rules, too. Much of that knowledge can live inside the repository, so Copilot can pick it up automatically instead of requiring you to explain the same standards, scripts, and workflows every time you start a new task.
In this installment of our GitHub Copilot app for Beginners series, we’ll look at four ways to tailor how Copilot works with your project:
- Custom instructions communicate the conventions Copilot should follow.
- Agent skills package repeatable procedures.
- Custom agents bring specialized guidance to larger tasks.
This is a short excerpt. Read the full announcement on the official source.
Continue on github.blog → (opens in a new window)Related stories
Official announcement
Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection
Google DeepMind
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Official announcement
The new Fairbuds 2. Your sound. Made better.
Fairphone
Great sound, a distinct design, and a listening experience made to evolve with you. Designed to impress from day one
Official announcement
What to Know When Buying an Oura Ring
Oura Ring BlogOura Team
Thinking about getting an Oura Ring? Before you buy, it helps to know exactly what you’re paying for, how long the battery lasts, and what happens if your smart ring needs a repair. Whether you want to understand your sleep better or build a smarter workout routine around your Ac
Official announcement
Under the hood, off the hot path: how D1 scales to millions of databases
Cloudflare BlogDavid Laban
Traditional database architecture assumes you have one or two big database clusters per application, usually accompanied by a connection pooling solution. AI-assisted development and vibe coding platforms turn this model inside out and are driving applications toward many small d
Official announcement
Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI
Meta Engineering
Last year, we introduced GEM , the industry’s largest recommendation system (RecSys) foundation model. GEM established Meta’s first LLM-inspired paradigm for ads recommendation, driving major performance gains. Building on this foundation, our next goal is to further scale both c
Official announcement
Gemini 4 Argon: Built to solve your hardest problems
Google AI Blog
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.