GitHub

Over the past three months, three million secrets have been exposed. Many teams don’t realize it until the damage is done. Secret leaks are a growing risk in modern software development, yet many organizations still lack the visibility needed to understand their exposure. Join GitHub Advanced Security for a webinar on July 28 to learn: • Key secret leak trends based on our analysis of GitHub data and practical next steps • How public monitoring can detect exposed secrets across GitHub, not only in your organization’s repositories • How to assess your organization’s secret exposure and take immediate action Register now ⬇️ https://lnkd.in/eFCFApxJ

In this stream we'll experiment with building a personal assistant with GitHub CLI. We'll use workflows and experiment with features

AI made code cheaper to write. Understanding, reviewing, and owning it? Not so much. That changes how engineering teams should evaluate small feature requests. Instead of debating scope based on assumptions, ask for a constrained first patch. Treat it like a price check, not the finished product. AI shouldn’t make the decision. It should help humans gather concrete evidence and make a faster, better-informed one. The cost of saying yes has changed. The cost of saying no should change with it. https://lnkd.in/e5xMM33K

Many teams can tell you whether developers are using AI. Fewer can show how they’re using it and whether those behaviors are associated with measurable engineering outcomes. Drawing on findings from thousands of organizations, we explore adoption trends across surfaces and how progression from code completion to agentic workflows is associated with higher throughput and faster time-to-merge. With the new GitHub Copilot impact dashboard, enterprise leaders can measure those same adoption patterns and engineering outcomes within their own organizations—helping them identify opportunities for enablement, guide investments, and advance adoption. Learn how your organization can connect Copilot adoption to impact and scale with confidence. https://lnkd.in/e_eCxENK

Join us for Open Source Friday as we sit down with Brady Gaster (@bradygaster) to explore Squad, an open source project for building AI agent teams for any project. Repo: https://lnkd.in/e69S4pzH #OpenSourceFriday #GitHub #AI #Copilot #OpenSource

AI can generate code in seconds.   But trusting that code is a different story. Here are three ways to combat this challenge 👇 

🆕 Google’s Gemini 3.6 Flash is now generally available and rolling out in GitHub Copilot. ➡️ It is designed for web and app development, coding and agentic tasks ➡️ In testing, it demonstrated higher task-completion rates and better token efficiency than Gemini 3.5 Flash across coding and agentic workflows Try it out in the GitHub Copilot app or Visual Studio Code. https://lnkd.in/g48yvKvY

More than $100 million has now been invested in open source maintainers and projects through GitHub Sponsors. 🎉 Nearly 70,000 maintainers and organizations are supported by more than 280,000 sponsors, from individual developers to Fortune 500 companies. Thank you to everyone helping make open source more sustainable. 💚 Here’s the story of how we got here together. 👇 https://lnkd.in/eSfUBdD7

57 years ago today, humans first landed on the Moon. The source code that helped get them there? It’s on GitHub. Margaret Hamilton led the MIT team responsible for Apollo’s onboard flight software. The Apollo Guidance Computer software eventually grew to about 145,000 lines of code. 👀 Explore the original Apollo 11 guidance software for the Command and Lunar Modules. 🌕 https://lnkd.in/euYxaG2R Image credit: Draper Laboratory; restoration by Adam Cuerden, via Wikimedia Commons.