Ditched GitHub Copilot for Better AI Tools

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 just reported that 51% of all code committed to its platform in early 2026 was generated or substantially assisted by AI. Think about that for a moment. A majority of commits to the world’s largest code host now have an AI somewhere in the loop. And we’re only 3 years out from GitHub Copilot’s general availability. The supporting data tells the same story: → McKinsey: AI coding tools cut routine coding time by 46% (4,500+ developers, 150 enterprises) → Stack Overflow: 84% of developers are using or planning to adopt AI coding tools → 20M+ GitHub Copilot users, with agent mode now standard But here’s what the headline misses: the developers seeing the biggest gains aren’t the ones who replaced their workflow with AI. They’re the ones who redesigned their workflow around AI. The 2026 developer stack isn’t one AI tool. It’s a combination: • Claude Code or Cursor for complex reasoning and multi-file edits • Copilot for line-level autocomplete • Local models (Ollama, Tabby) for sensitive or proprietary code The developers who treat AI as a single tool will plateau. The ones treating it as a new layer in their stack are the ones compounding. 51% of code is already there. The other 49% won’t wait long. #DeveloperProductivity #AITools #SoftwareEngineering #GitHub #FutureOfWork

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

Expect to hit your Copilot usage limits quicker then before following GitHub's decision to introduce token-based limits as it struggles to keep up with more intense use of its AI tools. "These long-running, parallelized workflows can yield great value, but they have also challenged our infrastructure and pricing structure." said Microsoft's Joe Binder. https://lnkd.in/eRyAzV5B #GitHub #AI #AIInfrastructure

When I said we lived in an AI 𝗯𝘂𝗯𝗯𝗹𝗲, nobody believed me. The 𝗱𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝗰 manifesto was saying: “everybody can code, everybody should code.” Yesterday, GitHub paused new sign-ups for GitHub Copilot Pro, Pro+, and Student plans.  Also planned to increase the fee on AI consumption. We’re using resources out of a marketing program and an 𝗶𝗱𝗲𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 one. It’s a subsidized marketing with 𝗰𝗵𝗲𝗮𝗽 tokens to 𝗵𝗼𝗼𝗸 users moving to a sustainable infrastructure or real-world 𝗽𝗿𝗶𝗰𝗶𝗻𝗴. The only way to survive is using local models as a "bridge" or a "pre-processor" for giants like Gemini and Claude, and the only 𝗹𝗼𝗴𝗶𝗰𝗮𝗹 move to avoid going 𝗯𝗿𝗼𝗸𝗲 while staying productive. For instance, models like Context7, an open-source Model Context Protocol (MCP) server developed by Upstash, provide AI coding 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 with real-time, up-to-date documentation for programming libraries and frameworks. It addresses a critical problem: AI models often have outdated knowledge about software libraries or hallucinate deprecated APIs, leading to incorrect code suggestions. See how to wire into 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗖𝗟I, with the container booting autonomously every time the terminal opens. https://lnkd.in/dEGvAauq #AICoding #MCP #GitHubCopilot #Upstash #Context7 #LocalAI #DevTools #OpenSource #SoftwareArchitecture #CodingBubble #LLM #TechStrategy

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

🎥 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

Stop telling your friends to “just get GitHub Copilot.” GitHub has effectively admitted the model is under pressure. They’ve paused new Copilot Individual sign-ups, tightened usage limits, and reduced model access. Their reason is clear: agentic workflows now consume far more compute than the original plan structure was built to support. The AI gold rush is now meeting operational reality. #GitHub #GitHubCopilot #AI #GenerativeAI #SoftwareEngineering #DeveloperTools #DevOps #LLM #CodingAssistants

The AI Honeymoon is OVER! GitHub Copilot and the rapid acceleration of AI "Enshittification". We all knew the golden era of highly subsidized, flat-fee AI access couldn't last. The compute costs driving today's LLMs are simply too immense. But the transition to a rigid, pay-for-what-you-use reality is accelerating at breakneck speed. Case in point: GitHub Copilot is gutting the value of their subscription plans. Here is the reality check for the software engineering world: The Death of the "Premium Request" Historically, for $10/month, users got 300 "premium requests" regardless of token weight. Starting June 1st, that's gone. GitHub is shifting entirely to a token-based credit system. The flat-fee safety net is vanishing. The Illusion of the Subscription Plan Retaining a Copilot plan now just acts as prepaid credits. The math is staggering: Massive Jumps: Top-tier models like Claude Opus are jumping from a 3x multiplier to an astonishing 27x. That is a 900% increase in cost per prompt! Zero Prepaid Benefit: Copilot's unit price for tokens perfectly mirrors direct API costs. Paywalls: Previously free models are removed, and features like code review using GitHub actions are now metered. The Hard Reality for AI and Engineering Stepping into this space as an AI Specialist, it is clear we are moving from an era of subsidized experimentation into a phase of rigorous ROI justification. Teams building internal tooling using direct API access will have a massive cost advantage over those relying on SaaS wrappers. The bottom line? Cut out the middleman. Take control of your own token usage and build workflows directly. The era of cheap AI is closing. Start budgeting your tokens accordingly. GitHubMicrosoft #AI #SoftwareEngineering #GitHubCopilot #LLMs #TechTrends #DeveloperTools #TechNews #Coding #Technology #ArtificialIntelligence #SoftwareEngineering #GitHubCopilot #TechTrends

The era of "all you can consume" AI for developers is officially ending. Woke up to the news yesterday that GitHub Copilot starting June 1, 2026... is moving to usage-based billing. While Claude Code, Cursor and other tools have also followed. It's a fundamental shift in how we build with agents. I posed about this last year that the subsidization of LLM costs was not going to last too long. Here we are now, the compute demands have become unsustainable. A single agentic loop can burn more tokens than a developer used in an entire month under the old flat-rate model. For copilot this is what it will look like from June: - "Unlimited" is replaced by credits: Your $10/mo plan now gives you exactly $10 in "GitHub AI Credits." (Personal observation, I consume $10 easily in a 6-8 hours of use with Sonnet on Copilot) - Token-based billing: You’re paying for every input, output, and cached token you consume. - Code reviews will take from that budget and will also consume github runner minutes. Double whammy there. Why does this matter? Because it forces a move toward what I call "Efficient Agency." The old model, a good agent was one that eventually found the answer, regardless of how many tokens it burned. The new eval benchmark for the future will be solving the problem with the absolute minimum number of tokens. However I dont think this is a bad thing. This shift will finally flush out the "wasteful" agents that just loop until they hit a context limit. It's going to reward engineering craftsmanship over "vibe coding" loops. P.S. At Optimal AI, we’ve been obsessing over this for a while. We use smart model routing and multi-model techniques to keep quality high while keeping costs drastically lower. This is how we can continue to provide unlimited-style value in a usage-based world. #GitHubCopilot #AIEfficiency #EngineeringLeadership #LLMOps #OptimalAI