GitHub is shutting down Spark and Models, directing developers to GitHub Copilot
As of 4 August 2026, GitHub stopped new user registrations and the creation of new applications in Spark; existing applications can be exported until 31 August 2026. The GitHub Models inference service for the llm() function shut down on 30 July 2026; applications that do not use it continue to work.
As of 4 August 2026, GitHub stopped accepting new users and allowing new applications to be created in GitHub Spark. Existing users can still access Spark until 31 August 2026 to export applications they have already created. According to the company, applications deployed earlier will continue to work after Spark shuts down.
Separately, GitHub Models, which Spark used as the inference backend for the llm() function, shut down on 30 July 2026. From that date, llm() calls stopped working. Applications that do not use the llm() function are not affected by the shutdown of GitHub Models. If an application uses llm(), the company says the user must replace the inference service with their own provider, supply their own API key and manage the associated payments themselves, because GitHub no longer provides the model or tokens.
GitHub explains the shutdown by saying that AI models and tools for agentic development have advanced significantly since Spark launched, and developers increasingly choose integrated workflows directly in GitHub Copilot, specifically in VS Code, Copilot CLI and the GitHub Copilot app. The company therefore says it is adapting its offering to these changes.
Why it matters
Developers using GitHub Spark have a limited window to export their applications and must urgently arrange an alternative source of inference for those that depend on llm(); otherwise, their AI features will stop working and they will incur new direct API costs.
Two audiences, two different impacts
What this means
For individuals
Anyone with applications created in GitHub Spark must export them by 31 August 2026 and, if they use the llm() function, arrange their own API key and model provider; otherwise, the AI features will stop working.
For a business
Companies that used GitHub Spark for rapid prototyping must move their workflows to GitHub Copilot and arrange and pay for an alternative inference provider themselves for applications that depend on GitHub Models.
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