GitHub Copilot Goes Beyond Autocomplete

NEW: AI coding agents are flooding Microsoft-owned GitHub, leading to a 14x surge in traffic—as well as a rise in recent outages as they strain the platform's servers. Software developers are using AI agents to crank out more lines of code than is humanly possible, with companies like Meta Platforms Ltd hosting “tokenmaxxing” contests to see which coders can spin the AI meter the fastest. That trend is juicing traffic at GitHub, COO Kyle Daigle tells The Information. GitHub staff celebrated last year when the number of “commits,” or times that users saved new code to their GitHub database, exceeded 1 billion annually for the first time, Daigle said in an interview. Since then, commits have surged to 275 million per week, and the company is on track for 14 billion commits this year. That represents a roughly 14x increase in traffic from a year prior. That's been a boon for GitHub's business, but has also led to a rise in outages in recent months as the company tries to meet the scaling demand, leading some users to complain about degrading reliability. “Since January, every month, every week almost now has some new peak stat for the highest [usage] rate ever,” Daigle said. Read the full story: https://lnkd.in/edHxcsk5

Big news for devs! GPT-5.5 is now generally available for GitHub Copilot. This means even smarter code suggestions and potentially less time debugging my own mistakes. My keyboard might start getting jealous with how much help I'm getting. Excited to see this in action! 🤖 #GitHubCopilot #AIdev

Our team uses GitHub Copilot with AGENTS.md files in each repository to give the AI context about our projects. Over time, we noticed the same dependency upgrade patterns being copy-pasted across multiple repositories: Framework migration steps Library compatibility matrices Known breaking changes and their fixes CI configuration patterns Instead of maintaining the same knowledge in 6+ places, we consolidated it into a single GitHub Copilot Agent Skill — a structured knowledge file that Copilot loads on demand when you need it. The result: 1,136 lines removed from scattered documentation files One source of truth, updated as we learn Today: the skill diagnosed a failing dependency upgrade in minutes — it already knew the root cause and the exact fix from the last time we solved a similar problem The real win isn't the line count. It's that next time someone on the team hits a dependency upgrade failure, the AI assistant already knows the solution from the last time we solved it. Knowledge that used to live in someone's head now lives in the toolchain. If you're using GitHub Copilot with AGENTS.md files, Copilot Agent Skills are worth looking into. Curious if others have found similar patterns for sharing AI context within a team. #GitHubCopilot #DeveloperExperience #DevOps #KnowledgeManagement

🤖 One of GitHub's most interesting updates this week is happening in the CLI: GitHub Copilot CLI now supports BYOK and local models⚡ What that means: ▶️ teams can connect their own model provider ▶️ they can also run fully local models ▶️ GitHub-hosted routing is no longer the only option ▶️ authentication is optional when using your own provider Why this matters: ✅ more flexibility in model choice ✅ more control over LLM spend ✅ better fit for restricted or air-gapped environments ✅ easier alignment with enterprise infrastructure choices This is a meaningful step for teams that want the Copilot CLI experience, but with more control over how and where inference happens. #GitHub #GitHubCopilot #CLI #AI #DeveloperTools

In a recent Rubber Duck Thursday stream, Cassidy Williams shares how an emoji list generator was created using the GitHub Copilot CLI. I found it interesting that this tool not only enhances creativity but also showcases the potential of AI in streamlining coding processes. What are your thoughts on the role of AI in improving developer productivity?

Seeing GitHub pause subscriptions to GitHub Copilot is starting to make me wonder about the real reasons. It pretty clearly points to the high costs of AI, and that Copilot’s pricing might actually be lower than it should be. It makes me question what happens in the future, if prices go up, could coding tools become less accessible, reserved only for those who can afford LLMs? Coding was my lifesaver back in 2019, will it one day become something only the rich can afford?

GitHub Copilot CLI brings AI assistance directly to your terminal. Instead of switching to a browser or code editor, you can ask questions, generate full-featured applications, review code, generate tests, and debug issues without leaving your command line. here is the beginner samples https://lnkd.in/g4RMVENQ #GenAI #AI #Github #Copilot

GitHub Copilot + CLI = faster dev workflows. AI in the terminal is no longer a future thing. GitHub Copilot CLI helps you code, test, and iterate faster. https://lnkd.in/eWmnXQwW

GitHub just changed the rules. And developers who push codes only from the terminal don’t even realize it yet. Starting April 24, GitHub will begin using Copilot interactions to train its AI models (except enterprise users). Yes… that includes: • your prompts • accepted / rejected code • how you edit suggestions • potentially context from your repos Even private ones indirectly. Dont worry it is easy to turn it off. 1. Go to GitHub Settings 2. Navigate to Copilot 3. Find “Allow GitHub to use my data for product improvements” 4. Turn it OFF That’s it. Are you someone who doesn’t care, or are you turning it off? Comment below. #AI #Github #DataPrivacy

🚀 What if your GitHub repo could improve itself? Join us for GitHub Agentic Workflows: Automation That Actually Reads the Room and see how AI agents can autonomously triage issues, fix CI failures, update docs, and improve tests—with just a markdown file and one command. 🔍 In this live demo, Ari LiVigni, Senior Learning Advocate at GitHub, will walk through: - From minimal workflow file → AI agent in action - Safe, sandboxed pipelines that deliver ready‑to‑review PRs - How to keep your repo on autopilot while staying fully in control 📅 May 7, 2026 ⏰ 9:00–10:00 AM PT 🎥 Live and on-demand at any time after wrap 👉 Register now: https://msft.it/6040QxqQE 📍 Explore the series: https://msft.it/6041QxqQ1 #MicrosoftReactor #learnconnectbuild #GitHubCopilot #AgenticWorkflows #AgentOrchestration #GHCP #Fleet