GitHub Next Event with Idan Gazit at GitHub HQ May 7

Scaling a massive project requires more than just chat interactions; it demands the codification of your engineering DNA directly into the workspace. By embedding GitHub Copilot instructions for security protocols, architectural patterns, and testing standards, you ensure every engineer on the team stays aligned with your core technical vision. This shift transforms AI from a simple autocomplete tool into a persistent guardrail that enforces high-quality software design and rigorous security checks in real time. When your instructions live within the repository, the AI doesn't just write code, it actively defends your architecture and scales your best practices across the entire organization. Try moving your governance into persistent instructions today and watch how it elevates the consistency and security of your entire codebase. #Github #Copilot #Microsoft

🚀 GitHub Constellation 2026 | Key Takeaways Attended GitHub Constellation 2026 in Bengaluru and it’s clear we’ve entered the era of agent‑native development. My top takeaways: 🤖 Multi‑agent > single agent It’s no longer about one AI assistant. GitHub is enabling multiple agents running in parallel across GitHub.com, VS Code, Copilot CLI, and custom apps via the Copilot SDK. 🛰️ One place to track all agent work A new Agents / Mission Control experience makes it easy to launch, monitor, and review all agent tasks — with outputs as standard PRs. ☁️ Azure AI Foundry = production‑ready agents From sandbox experiments to secure, enterprise‑scale hosted agents, Azure AI Foundry removes the infra burden. 🔄 Agentic Workflows in GitHub Actions Automation is evolving. With GitHub Agentic Workflows, we can describe intent in natural language and let agents handle repo automation — safely. 🤝 Agents as team members Cloud‑based agents now collaborate seamlessly with developers and teams, making AI a true team sport. The future isn’t just AI‑assisted coding — it’s AI‑driven collaboration. #GitHubConstellation2026 #GitHubCopilot #AIAgents #AgenticWorkflows #AzureAIFoundry #DeveloperExperience #Bengaluru

Claude Code users have had this for a while — now GitHub Copilot CLI is catching up 🤖 GitHub just launched remote session support for Copilot CLI in public preview. That means you can kick off a long agentic task on your machine, walk away, and monitor or steer it from your phone. In this week's Two Minute Tuesday I cover: ✅ How copilot remote CLI works ✅ What you can do from a remote session ✅ What admins need to enable first (Copilot Business/Enterprise) ✅ Tips to get started today This is the direction all AI tooling is heading. Worth getting familiar with it now. 🎥 Watch here: https://lnkd.in/eZNUKTX5 Are you in the GitHub Copilot camp, the Claude Code camp, or something else entirely? Drop it in the comments 👇 #GitHubCopilot #CopilotCLI #ClaudeCode #AITools #ITPro #TwoMinuteTuesdays

GitHub Copilot gets called an autocomplete tool. That undersells it significantly. Yes, it suggests code inline as you type. But the more interesting capability is what it does at the workspace level — it can read your entire codebase, answer questions about it, explain unfamiliar code, and act as an agent that spans multiple files. The numbers back up the adoption: 1.8M+ paid subscribers, integrations across every major IDE, and deep GitHub ecosystem access that no third-party coding agent can replicate natively. If you're evaluating AI coding tools, GitHub Copilot is the baseline everything else gets compared to. Full profile and alternatives → https://lnkd.in/ewkPwZeA

🤖 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

Good to see GitHub adding more transparency to their status page! The new 'Degraded Performance' state is smart – much better to distinguish between a glitch and a full outage. Also, publishing per-service uptime metrics and separating out Copilot AI model issues specifically is super helpful for us devs. It's the clarity we need when things aren't 100%. 🙌 #GitHub #DevTransparency

Ollama and GitHub Copilot. Another important union for privacy and power in the terminal.... The AI development landscape gains another chapter in its evolution. The announcement that Ollama now supports GitHub Copilot CLI reinforces an integration movement seeking the balance between cloud intelligence and local processing security. To date, no one holds an exclusive path to efficiency, but this combination of tools certainly opens new doors for developers. What this integration allows you to do now: - Repository Exploration. You can use Copilot CLI to map codebases and understand complex structures with the support of local processing. - Terminal Automation. This union allows for task planning based on GitHub tickets where AI assists in editing files and installing dependencies more fluidly. - Privacy and Control. By using Ollama as a backend option, developers gain another layer of choice regarding where their sensitive context should be processed. My personal analysis on this movement In my view, what we are witnessing is the consolidation of a hybrid model. Copilot's support for Ollama is another step acknowledging that the future of corporate software will not be centered on a single closed solution. My predictive analysis is that the terminal will remain the primary command center, now powered by agents that respect the security perimeter of each project. True productivity does not stem from a single tool, but from the ability to integrate the best available solutions into your workflow. #Ollama #GitHubCopilot #AI #OpenSource #CTO #SoftwareDevelopment #Privacy #TechTrends #Coding

GitHub Restructures Copilot Plans to Cut Premium Models from Mid-Tier Subscriptions 📌 GitHub is cutting premium AI models from mid-tier Copilot plans amid a surge in autonomous coding agents that’re overwhelming its infrastructure. With AI bots generating 17M pull requests and straining compute resources, GitHub’s pausing new sign-ups and tightening usage limits to ensure service stability - a bold pivot as the AI revolution reshapes software development. 🔗 Read more: https://lnkd.in/dDhRrTvm #Githubcopilot #Aiagents #Subscriptionplans #Midtier #Premiummodels

GitHub has paused new Copilot sign-ups and tightened usage limits for existing users because AI coding demand is overwhelming its compute capacity. The pause affects individual Copilot plans and reflects the raw infrastructure cost of running AI-assisted development at scale. GitHub Copilot has become one of the most widely adopted AI tools in software engineering, and the fact that Microsoft-backed GitHub cannot keep up with demand is a telling signal about where the AI compute bottleneck really sits. This is not just a supply issue. It is a strategic vulnerability for every engineering organization that has built Copilot into its development workflow. When your productivity tool becomes capacity-constrained, your team's velocity drops with it. For engineering leaders, this should prompt a serious conversation about single-tool dependency for AI-assisted coding. If the platform you rely on can pause sign-ups without warning, your development pipeline is more fragile than you thought. #GitHubCopilot ♻️ Repost if you think someone in your network should see this. 🌤️ Follow for daily enterprise IT news.

To anyone who has a local .NET meetup group, give them a shot. I recently found out about 2 very promising "new" (if you can call something AI related that is over a few months old new) things at the last event. 1. GitHub Copilot CLI — yes, it's "just" a CLI. But what that actually means is hands-off issue and feature resolution is now a realistic option for more developers. Spin it loose on a task in its own branch, go focus on something else. Simple concept, genuinely useful in practice. It's been GA since February — somehow I missed it. 2. Squads — an open source framework by a Microsoft PM Architect that drops a coordinated team of AI agents directly into your repo. It just hit the GitHub Blog in March and blew up fast. I haven't had enough time with it yet to say much, but the potential for laying out complex frameworks or knocking out proof-of-concept work feels real. Definitely things to watch. Anyone else in the .NET world playing with either of these? #GitHubCopilot #AIAgents #DotNet #DeveloperTools #OpenSource