š GitHub Constellation 2026 | Key Takeaways Attended GitHub Constellation 2026 in Bengaluru and itās clear weāve entered the era of agentānative development. My top takeaways: š¤ Multiāagent > single agent Itās 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. š°ļø One place to track all agent work A new Agents / Mission Control experience makes it easy to launch, monitor, and review all agent tasks ā with outputs as standard PRs. āļø Azure AI Foundry = productionāready agents From sandbox experiments to secure, enterpriseāscale hosted agents, Azure AI Foundry removes the infra burden. š 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 ā safely. š¤ Agents as team members Cloudābased agents now collaborate seamlessly with developers and teams, making AI a true team sport. The future isnāt just AIāassisted coding ā itās AIādriven collaboration. #GitHubConstellation2026 #GitHubCopilot #AIAgents #AgenticWorkflows #AzureAIFoundry #DeveloperExperience #Bengaluru
GitHub Constellation 2026: Agent-Native Development Era Begins
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Good to see GitHub adding more transparency to their status page! The new 'Degraded Performance' state is smart ā 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%. š #GitHub #DevTransparency
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I look forward to every conversation I have with Idan Gazit from GitHub Next. If you want direct access to a big picture thinker with a strong vision, don't miss this event at GitHub HQ in San Francisco on May 7. Pavan Tallapragada brings a view of real world platform engineering at the cutting edge. And Chris Romp is the first person I'd direct anyone to if they have questions about AI assisted software development. This event will take you beyond just AI coding.
Chris Romp and I are speaking about š§šµš² šš“š²š»šš¶š° šš²šš²š¹š¼š½š²šæ šš¼š¼š½ at GitHub + Microsoft Agentic DevDay in GitHub HQ, SF on May 7. Join Bay Area engineering leaders and senior developers for a firsthand look at how agentic AI is transforming the entire SDLC. Explore agentic workflows, autonomous coding agents, and the future of agentic development. š MAY 7 | 12:00 ā 5:30 PM š GITHUB HQ, SAN FRANCISCO Lunch + happy hour included See you there! Register: https://lnkd.in/dV5maR9k #GitHub #Copilot #Microsoft #AgenticAI #AgenticWorkflows #SDLC Julia Gvero Matthew Calder Idan Gazit Glenn Wester
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GitHub just changed the economics of AI-assisted development. Yesterday, GitHub announced Copilot is moving to usage-based, token-driven pricing starting June 1. For teams running agentic workflows, this isnāt a pricing tweak ā it changes how AI costs compound per feature. We published a deep dive on: - Why dashboard AI metrics no longer satisfy finance or boards - How per-feature ROI and per-feature cost tracking actually works - What teams should do before June 1 to avoid surprise spend If youāre scaling Copilot or agentic workflows, this is required reading. š Read the full post: https://loom.ly/GjBuThc #GitHub
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GitHub Copilot is moving to Usage-Based Billing GitHub just announced that starting June 1 2026, Copilot will transition to a usage-based model powered by GitHub AI Credits. A few important details: ⦠Credits over Requests: Subscriptions now include a monthly credit allotment. Usage is calculated via tokens (Input/Output/Cached), similar to standard LLM APIs. ⦠Core features remain included: Standard code completions and āNext Editā suggestions will not consume credits. ⦠Pooled Usage for Teams: Organizations can now pool credits across seats to eliminate wasted capacity and set granular budget caps. Why it matters: Base prices aren't changing, but the ceiling is lifting. This move enables more heavy-duty, agentic workflows while giving engineering leaders better transparency into their actual AI ROI. itās time to start looking at those usage dashboards! š Full details here: https://lnkd.in/dUa-8hDU #GitHub #Copilot #GenAI #SoftwareEngineering #AI #DevOps
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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 ā 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 ā somehow I missed it. 2. Squads ā 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
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š¤ One of GitHub's most interesting updates this week is happening in the CLI: GitHub Copilot CLI now supports BYOK and local modelsā” What that means: ā¶ļø teams can connect their own model provider ā¶ļø they can also run fully local models ā¶ļø GitHub-hosted routing is no longer the only option ā¶ļø authentication is optional when using your own provider Why this matters: ā more flexibility in model choice ā more control over LLM spend ā better fit for restricted or air-gapped environments ā 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
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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
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GitHub Copilot Shifts to Usage-Based Billing and Ends Annual Plans š GitHub is overhaulng its Copilot pricing model, moving away from annual subscriptions toward a flexible, usage-based billing system driven by AI Credits. This transition reflects Copilotās evolution into an agentic platform that consumes more compute resources through complex, multi-step workflows. Users should prepare for this shift by June 2026, as the new structure replaces fixed request limits with token-based consumption to better align costs with actual usage. š Read more: https://lnkd.in/dRJtSHra #Githubcopilot #Usagebasedbilling #Subscriptionmodel #Softwareasaservice
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Yesterday, GitHub couldn't run its own Copilot agents. Couldn't search. Couldn't load Actions. Pull requests timing out. Packages degraded. Issues degraded. Two open incidents at the same time. This is the platform millions of AI coding agents depend on. The foundation under Copilot, Codex, and every autonomous developer tool shipping right now. And it can't keep search up. Here's what nobody wants to say: while every vendor races to ship the next AI agent, the infrastructure those agents depend on is quietly degrading. We see the yellow banner, shrug, and move on. We've normalized it. When humans were the bottleneck, a slow GitHub meant a coffee break. When autonomous agents are the bottleneck, slow GitHub means thousands of stalled workflows, broken CI pipelines, and AI assistants looking stupid for reasons that have nothing to do with the model. You can't build the AI economy on infrastructure that can't load Issues. Same Patterns: companies underinvest in reliability until reliability becomes the story. Microsoft is spending billions on AI features stacked on top of a platform that can't keep its lights on through a Monday afternoon. The model is only as smart as the platform it runs on. #GITHUB Microsoft
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GitHub Restructures Copilot Plans to Cut Premium Models from Mid-Tier Subscriptions š GitHub is cutting premium AI models from mid-tier Copilot plans amid a surge in autonomous coding agents thatāre overwhelming its infrastructure. With AI bots generating 17M pull requests and straining compute resources, GitHubās pausing new sign-ups and tightening usage limits to ensure service stability - a bold pivot as the AI revolution reshapes software development. š Read more: https://lnkd.in/dDhRrTvm #Githubcopilot #Aiagents #Subscriptionplans #Midtier #Premiummodels
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