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GitHub Copilot

Model ● Covered in 11 stories Compare ⇄ + Follow

GitHub Copilot is an AI coding agent developed by Microsoft's GitHub that generates code and opens pull requests at scale, with over 1 million PRs opened in five months. The tool integrates with multiple development platforms including Atlassian's Jira and third-party IDEs like Cursor, and works alongside other AI models such as Claude and Gemini 3 Pro. GitHub is transitioning Copilot's billing from request-based to usage-based token pricing in June 2026 due to unsustainable inference costs, with Pro subscribers receiving monthly AI credits subject to variable costs based on model complexity and token consumption.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

Platform engineering’s new job: serving environments at agent speed The New Stack · 2 weeks ago · 18

AI hasn’t shifted the bottleneck from coding to code review The New Stack · 2 weeks ago · 26

Atlassian wants developers to finally like Jira The New Stack · 2 weeks ago · 17

GitHub Spec Kit enables spec-first workflow for coding agents The Neuron · 3 weeks ago · 46

Z.ai Launches ZCode Free Coding Tool The Neuron · 4 weeks ago · 41

No longer just a Copilot, Microsoft's AI wants to take the wheel The Register · 1 month ago · 32

Usage-based pricing killing your vibe - here's how to roll your own local AI coding agents The Register · 3 months ago · 5

Locked, stocked, and losing budget: AI vendor lock-in bites back The Register · 3 months ago · 24

Timeline

Month Quarter Year

July 2026

June 2026

3 Jun No longer just a Copilot, Microsoft's AI wants to take the wheel

May 2026

2 May Usage-based pricing killing your vibe - here's how to roll your own local AI coding agents

April 2026

GitHub Copilot transitions to metered token-based billing model Pricing change

November 2025

Google releases Gemini 3 AI model with multimodal capabilities and agentic features Model release

18 Nov Start building with Gemini 3

April 2024

16 Apr Code with CodeQwen1.5

Relationships

Products & technology

GitHub develops this model · 4 sources
Jira integrated with this model · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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