A great day for agents on GitHub with a wave of big product launches at GitHub Universe today! With over 1 million Copilot coding agent PRs merged in the last 5 months, agents are now a core part of the software development workflow for teams on GitHub. Just a few of the new features we launched today 🚀: * A new mission control for agents * Ask coding agent to make changes in any pull request with @copilot * Copilot coding agent now automatically validates code security and quality * Agentic Copilot code review * Delegate tasks to coding agent from the Copilot CLI * Custom agents support across GitHub, CLI and VS Code * New agent sessions pane in Visual Studio Code * Copilot coding agent now supports self-hosted runners * GitHub Copilot for Slack * Copilot coding agent in Linear * Delegate tasks to Copilot coding agent from JetBrains IDEs * Assign code scanning alerts to Copilot for automated fixes * Enterprise AI controls & the agent control plane And of course, support for additional agents from OpenAI, Anthropic and other partners coming later this year! Full list of today's launches at https://lnkd.in/g8f5WT6U. Really proud of the incredible work across our teams at GitHub and our partners to bring all this to life. 🙌 https://lnkd.in/gp8j_vSQ
GitHub launches new features for Copilot coding agents
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I've been thinking about how agentic coding is changing the infrastructure requirements for development environments. We've evolved from local → production → CI → agentic environments. But here's the problem: each environment often has its own provisioning logic, making projects less portable. The solution? Keep your environment layer thin and adopt environment-agnostic tooling: • Use tools like Mise for deterministic provisioning • Adopt environment-agnostic caching (not just CI-specific) • Invest in structured telemetry for better debugging In an agentic world, your infrastructure needs to work everywhere—not just in your CI pipeline. Full post: https://lnkd.in/dv95yP7b
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What Is Actor-Based Development and How Does Project Orleans Make It Work: https://lttr.ai/AjcZ3 #ActorBasedDevelopment #ActorModel #M365Show #BadEndpointSettings #PublicClassHellograin #SimpleApiCode #AttributeTellsOrleans #AzureBlobStorage #AzureTableStorage #PublicClassAuctiongrain #m365show
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Happy to share my latest side project: a Sora Agent that generates longer, seamless video sequences – overcoming the current 12-second limit of individual clips. How it works: You provide a video idea (and optionally a starting image). The agent writes a multi-part script and uses Sora 2 to generate each segment. To maintain continuity, it passes the last frame of one clip as input to the next, and finally merges all parts into one complete video. GitHub repo (experimental): https://lnkd.in/egtVdTSa Current limitations: - No audio consistency across clips - Input images cannot depict real people Tech stack: #Sora2 #MicrosoftAgentFramework #AzureAIFoundryAgentService #AzureAIFoundry
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What Is Actor-Based Development and How Does Project Orleans Make It Work: https://lttr.ai/AjcjD #ActorBasedDevelopment #ActorModel #M365Show #BadEndpointSettings #PublicClassHellograin #SimpleApiCode #AttributeTellsOrleans #AzureBlobStorage #AzureTableStorage #PublicClassAuctiongrain #m365show
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Before Git, version control was chaos. After Git, it became collaboration. In this week’s episode of The ABCs of OSS, we’re talking G is for Git — the tool that turned coding from a solo sport into a global movement. From branching breakthroughs to open-source magic, Git changed everything. 🔗 Watch the full episode and learn why Git isn’t just a dev tool — it’s the backbone of open-source innovation. https://lnkd.in/g5ZzcQJH #OpenSource #Git #SoftwareDevelopment #DevTools #HeroDevs #ABCsOfOSS #GitHub #GitLab #DeveloperCommunity
G is for the Backbone of Modern Development | ABCs of OSS
https://www.youtube.com/
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How a small set of tools can turn Git into the engine driving Kubernetes deployments 🚀 I was very lucky to watch a very interesting Flux Explorers session with Chris Mayenschein and Leigh Capili. Both shared really beginner-friendly, practical insights that helped me understand the why and how behind GitOps with Flux. 🔧 Here were some points I took down from Chris' demo: - Chris has been exploring Flux on a K3s setup and showed how Flux takes over Helm installs, so you don’t have to do it manually. - Chris demoed Renovate scanning manifests, spotting outdated versions and auto-generating GitHub PRs. - Once a PR is merged, Flux reconciles the cluster to match Git - pod restarts happen automatically. Git truly becomes the “single source of truth.” - Big advice: don’t skip the basics - Linux, networking and Kubernetes fundamentals make learning Flux smoother. 🔧 Here were some points I learnt from Leigh's demo: - Leigh broke down Flux’s architecture: 4 core controllers (Source, Kustomize, Helm, Notification), plus optional ones like Image Automation and Source Watcher. - Shared how Source Watcher can break up or combine sources in-cluster - handy for big repos or monorepos. - Emphasised the value of auditable, policy-driven deployments where Git defines and Flux enforces. - Encouraged newcomers to join Flux dev calls - a great way to learn and contribute. Thank you so much to 🎙Bart Farrell for the Flux Explorers program, Chris and Leigh for sharing your valuable insights! 😊 Please do watch this great session here: https://lnkd.in/guCrk96m Key takeaway: Flux is about making Git the engine behind your deployments. Push a change → Flux syncs your cluster → and you watch it all from PR to pod. Question for the community: What’s the first small Flux workflow you would try on your own cluster? Maybe updating a simple app, a Helm release or using Renovate to bump an image? Excited to watch and posting my learnings on episode 3 and 4! 😊
Flux Explorers Session 4- Flux Under The Hood w/Maintainer Leigh Capili & meet Flux Explorer Chris
https://www.youtube.com/
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With early access or beta enabled, Context steps can be utilized at pretty much every stage. This includes personalized delays, where Context variables or even custom attributes can be incorporated. It allows for a more tailored and responsive approach to each interaction. Full video on YT! https://lnkd.in/g-2mi-3t #earlyaccess #beta #contactsteps
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So... Github copilot plugin for rider no longer has completion on demand, you either have a constant stream of noise, or you use inline chat or edit mode. Before you ask: If I use the hotkeys to disable and enable autocomplete, tab stops working to accept the suggestions. May they live in interesting times.
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New Release: Sentinel-2 L1C Radiometric Uncertainty Tool (S2-L1C-RUT) European Space Agency - ESA is pleased to announce the public release of an upgraded version of the #Sentinel2 L1C #Radiometric Uncertainty Tool (S2-L1C-RUT). This tool enables users to generate pixel-level maps of expected radiometric uncertainty for any Sentinel-2 spectral band. The uncertainty estimates are built on established metrology standards and have been validated using flight data from the 2024 #Sentinel2A / #Sentinel2C tandem acquisitions campaign. With this release, #ESA continues to advance the traceability and reliability of Sentinel-2 measurements — reinforcing confidence in one of the world’s most widely used sources of Earth observation data. The tool is open source, Python-based, and freely available for download, together with full documentation, at: 🔗 https://lnkd.in/d6QJWwkw
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Just two days at GitHub Universe 2025, but very insightful!! Key takeaways - 1. Accessibility Scanner - scans code for accessibility compliance (WCAG), uses axe-core library and yes GitHub Copilot helps to resolve them too. 2. Define project guidelines like coding standards with Agents.md 3. Copilot metrics now available in public preview, publishes data fir 28 days. it will be released officially in Mar 2026. 4. Agent HQ coming soon, and command centre for managing agents. Quick link..... https://lnkd.in/gMzN22es #githubuniverse2025 #latestupdates #ghcp #metrics
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Principal M365 Engineer @ ICF | Microsoft Certified
5dWhen rollout for Agent HQ?