GitHub Copilot Explores Repository Insights

Is GitHub Copilot in your stack? The harder question is - is it actually delivering? Girish Panpaliya, Director - Technology, breaks down what it takes to move from adoption to real engineering value. Read the full article >https://lnkd.in/g24akK7t #GitHubCopilot #AICodeAssistant #GenerativeAI #TechLeadership #EnterpriseAI #DigitalTransformation #Xoriant

GitHub Copilot is evolving Starting June 1, 2026, Copilot will shift from premium requests to a usage‑based billing model powered by GitHub AI Credits. 💡 What this means for developers & teams: - Plan prices stay the same, but credits are consumed based on token usage. Code completions and Next Edit suggestions remain free. - Credits can be pooled, tracked, and topped up — giving enterprises more control. - Heavy users will need to monitor usage closely, while light users benefit from fairer pricing. - This change reflects Copilot’s growth from an in‑editor assistant to a full AI coding agent capable of multi‑step reasoning across repositories. 👉 The future of coding assistance is not just about features — it’s about sustainable, scalable AI access. #GitHub #Copilot #AI #UsageBasedBilling #DeveloperTools #SoftwareEngineering #TechNews #CodingAI #EnterpriseIT #Productivity

GitHub Copilot is changing how Pro and Pro+ plans are billed starting June 1. The US$10 and US$39 monthly fees stay the same, but they will now work as monthly AI credits based on actual usage. • New model: billing based on input, output, and cache tokens. • Code Review: in addition to AI credits, it will also consume GitHub Actions minutes. • Autocomplete: remains included in the plan, with no credit usage. • Next Edit Suggestions: also remains included, with no credit usage. • End of fallback: once the limit is reached, there will be no fallback experience. In practice, GitHub is ending unlimited access for advanced features and aligning pricing with real infrastructure consumption. #GitHub #Copilot #SoftwareDevelopment #AI

🎥 A quick glimpse into an inspiring day at GitHub Reconciliation 2026 🚀 This session with GitHub wasn’t just informative—it completely changed how I see the future of development. From live demos to forward-looking insights, one thing became crystal clear: 👉 We’re stepping into the era of AI-native development. What stood out the most: ⚡ AI is moving beyond assistance—it’s becoming core infrastructure. ⚡ Developers will spend more time on problem-solving & system design, less on repetitive coding. ⚡ Context-driven prompting is unlocking real productivity at scale. Huge thanks to the amazing speakers and organizers for an insightful experience! #GitHub #GitHubReconciliation2026 #AI #SoftwareEngineering #DeveloperLife #TechTrends2026

GitHub Copilot is moving to usage-based pricing, and developers are raising concerns about predictability, value and rising costs for token-heavy workflows. With billing shifting from request-based units to AI credits tied to token consumption, users say the change could make usage harder to estimate and reduce the value of existing plans. See how developers are reacting to the change: https://lnkd.in/d8bi3uTj #AI #Copilot #SoftwareDevelopment #DevTools #GitHub

GitHub Copilot is switching all plans to usage‑based billing starting June 1, 2026. Instead of flat subscription quotas, users will get monthly GitHub AI Credits that are consumed based on how much AI they use. Basic features remain included, but heavier coding sessions and advanced tools will burn credits, and once those credits run out, users must purchase more or wait for the next cycle. Follow us (@vorumedia) to keep up with the latest AI & Tech news.

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 isn’t a pricing tweak — 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 you’re scaling Copilot or agentic workflows, this is required reading. 👉 Read the full post: https://loom.ly/GjBuThc #GitHub

𝗨𝗻𝗹𝗲𝗮𝘀𝗵𝗶𝗻𝗴 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆: 🚀 𝗠𝗲𝗲𝘁 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗜 𝗜𝘀𝘀𝘂𝗲 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 🤖 – 𝗬𝗼𝘂𝗿 𝗡𝗲𝘄 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝗶𝗻 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗜𝘀𝘀𝘂𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁! #𝗔𝗜 #𝗚𝗶𝘁𝗛𝘂𝗯 #𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 GitHub AI Issue Copilot is a powerful tool that assists in issue management and resolution. Let's explore its impact and potential improvements! 𝗪𝗵𝘆 𝗗𝗼𝗲𝘀 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿 ?🤔 1️⃣GitHub Copilot offers automated issue creation and updates, enhancing workflow efficiency. 2️⃣Real-world examples demonstrate the need to block Copilot-generated issues for better control. 3️⃣The use of Copilot as an issue assignee raises questions about its practicality and effectiveness. 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗟𝗶𝗻𝗸𝘀 🔗: Allow us to block Copilot-generated issues (and PRs) from our own | https://lnkd.in/dhqMJQeN Using GitHub Copilot to create or update issues | https://lnkd.in/gt-VetUt Triggering Automated PR using Copilot Coding Agent for ... - GitHub | https://lnkd.in/gH6n_TpQ Is anyone actually using GitHub Copilot as an issue assignee? | https://lnkd.in/g8ctS_Mb GitHub Copilot Chat - "Pick Model" Option Missing #166963 | https://lnkd.in/g7h7xa8k Supercharge your workflow and elevate your team's productivity with the cutting-edge GitHub AI Issue Copilot! #GitHub #AI #IssueManagement #Productivity #Innovation

🤩 We're super excited about the opportunity to host this meetup next week and bring together such strong perspectives on AI in engineering. We’ll hear from Liam Hampton, software engineer at Microsoft & GitHub , on practical GitHub Copilot usage, and from Kevin Nascimento at Betsson Group on what it takes to scale AI across multiple organizations. 👇 🤖 From Copilot to Org‑Scale AI: Let’s Talk Real‑World AI in Engineering On May 6, from 17:45, we’re bringing together developers and AI enthusiasts for a MeetUp focused on how AI is actually used in modern software development — both individually and across large engineering organizations. 🔸 Using GitHub Copilot in daily development Liam Hampton (Microsoft & GitHub) will share hands-on examples, practical workflows, and lessons learned from using AI-assisted coding in real projects. 🔸 Scaling AI beyond the individual developer Kevin Nascimento (Betsson Group) takes us inside Betsson’s approach to running AI at organizational level — covering governance, compliance, and scalable AI workflows used by 1,000+ engineers. ✨ Expect concrete examples, honest insights, and discussions you can take back to your own teams. 📍 Join us for an evening of learning, conversation, and community. 🔥 Spots are limited — register early and don’t miss out! #AIInEngineering #SoftwareDevelopment #GitHubCopilot #DataAndAI #TechMeetup #BetssonGroup

I have a general question for you about AI coding assistants. Is there still a use case for Github Copilot now that you can run Claide Code in VS Code? Capability wise, VS Code with the Claude Code extension, or even Cursor AI, is so far beyond Copilot, that I am beginning to question if there is still a market for GitHub Copilot at all. Is there anyone in my network that reverted back to using GitHub Copilot? if so, why?