AI Coding Live News — Real-Time 𝕏/Twitter Updates & Breakthroughs

GitHub Changelog@GHchangelog·Collected 7d ago

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GitHub Enterprise now includes Copilot: $0 seat charge for Enterprise Cloud users, $10 a month Copilot Standalone for others, with AI usage metered from the first request

At Universe 2026 on Oct 28, GitHub announced a new Copilot access billing model: users with a GitHub Enterprise Cloud license pay no Copilot seat charge, and users without one can get Copilot Standalone at $10 per user per month. Both get the same features and models as Copilot Enterprise but no monthly per-seat AI credits; all usage is metered against the enterprise budget from the first request. It is available now only to Enterprise Cloud customers working with a GitHub or Microsoft account team, opens to self-serve customers in stages, and Copilot Business and Enterprise stay on sale.

Key Takeaways

Seat charge: $0 for users with a GitHub Enterprise Cloud license; users without one get Copilot Standalone at $10 per user per month
Versus the old plans: Copilot Business is $19 per user per month with 1,900 pooled AI credits and Copilot Enterprise is $39 with 3,900; the new model includes no credits and meters usage from the first request
When the budget runs out: code completion and next edit suggestions keep working, while Copilot Chat, Copilot code review and Copilot in the cloud need available budget
Availability: from Oct 28 only for Enterprise Cloud customers working with a GitHub or Microsoft account team; self-serve opens in stages, and GitHub Free and Team are not eligible
Switching is voluntary, but the billing model applies to the whole enterprise, cannot be mixed with Copilot Business or Enterprise seats, and admins still have to assign seats

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Linked Models & Agents:

🤖 GitHub Copilot 🌐 GitHub 🌐 Microsoft

#GitHub Copilot#GitHub Enterprise#Pricing#Copilot Standalone#usage-based billing#Universe 2026

GitHub Changelog@GHchangelog·Collected 7d ago

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GitHub Agentic Workflows is generally available: write automation in Markdown, compile it to Actions YAML, run Copilot or your own coding agent, now with ARC self-hosting and micro-VM isolation

At Universe 2026 on Oct 28, GitHub made GitHub Agentic Workflows, an open source GitHub Next project, generally available on GitHub Free, Team and Enterprise. Developers describe tasks such as issue triage, CI failure analysis, documentation updates and test writing in natural-language Markdown, and gh aw compiles them into standard Actions YAML run by Copilot or a coding agent of their choice. GA adds self-hosted ARC runners with Docker-in-Docker, a non-experimental gh aw forecast cost estimate, per-workflow model providers and model routing, and Cloud Hypervisor or NVX micro-VM isolation.

Key Takeaways

Availability: GitHub Free, Team and Enterprise on github.com; using the default Copilot CLI engine requires a Copilot license
How it works: requirements in Markdown, compiled to standard Actions YAML that reuses existing runner groups and policies; run with Copilot or your own coding agent
Safe defaults: read-only permissions, a sandboxed container behind the Agent Workflow Firewall, safe-outputs validation, and a threat detection job before changes are applied
New at GA: self-hosted ARC runners with Docker-in-Docker, gh aw forecast out of experimental (with threat detection credits and monthly ranges), per-workflow model providers, model routing, micro-VM isolation and cross-repo enclaves
Customer story (Accenture's figures): one lead saved about 29 hours a week, AI authors 91% of the team's commits, and production errors fell from about 11,000 a day to under 1,000

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Linked Models & Agents:

🤖 GitHub Copilot 🤖 GitHub Agentic Workflows 🌐 GitHub 🌐 Accenture

#GitHub Agentic Workflows#Gh aw#GitHub Actions#coding agents#CI#Universe 2026

GitHub@github·Collected 8d ago

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GitHub Universe 2026: Copilot Fusion is generally available, routing and orchestrating models automatically, with Fusion Max scoring 60 on the Artificial Analysis Coding Agent Index at about half the cost of Claude Code with Opus 5.5 Max

At GitHub Universe 2026 on Oct 28, GitHub made Copilot Fusion generally available. It merges the multi-model orchestration of the Project HydraFusion research preview with Copilot auto model selection: users pick Copilot Fusion and an effort level (Standard, High or Max) in the model picker, and the system decides which models to use and whether to run a Single, Cascade or Critique workflow. GitHub says Fusion Max scored 60 on the Artificial Analysis Coding Agent Index, two points below Claude Code with Opus 5.5 Max, at about half the API cost per task, about half the tokens and about 40% less time. Each underlying model is billed at its standard rate, and paid plans get 30% off through Nov 30.

Key Takeaways

Scores (Artificial Analysis Coding Agent Index v2.0): Fusion Max 60 versus 62 for Claude Code with Opus 5.5 Max; $5.59 per task versus $11.42, while the Devin Fusion pairing scores 62 at $8.00
Breakdown: a slight lead on Terminal-Bench 4.0 at 71, third on FrontierCode at 51 (Claude Code 56, Devin Fusion 54), and a weaker 57 on SWE-Atlas-QnA-AA
Efficiency: about 7.2M tokens per task, roughly half of Claude Code with Opus 5.5 and 30% fewer than Devin Fusion; GitHub reports about 40% less time per task
The pool includes Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra and GPT-6 Sol; admins can disable individual models for Fusion only and set Fusion as the default
Availability: all Copilot plans in VS Code, the Copilot app, Copilot CLI and JetBrains IDEs; existing auto, HydraFusion and HydraFusion Max selections migrate to matching effort levels

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Linked Models & Agents:

⚡ Claude Opus 5.5 ⚡ Claude Sonnet 5.5 ⚡ GPT-6 Astra ⚡ GPT-6 Sol 🤖 GitHub Copilot 🤖 Copilot CLI 🤖 Claude Code 🤖 Devin 🌐 GitHub 🌐 Microsoft 🌐 Anthropic 🌐 OpenAI 🌐 Artificial Analysis

#GitHub Copilot#Copilot Fusion#GitHub Universe#model routing#multi-model orchestration#coding agents