Releasesby GlyphUpcoming deprecation of GitHub Spark on github.com
Beginning August 4, 2026, GitHub Spark no longer accepts new users or allows the creation of new apps. Existing users can continue to access GitHub Spark until August 31, 2026 to export apps they’ve already created. Apps you’ve already deployed will continue to work after GitHub Spark is retired.
Also shipped Aug 4, 2026GitHub in August 2026 →
Workspace sharing in Declarative Native Apps (Public Preview)
Workspace sharing is now available in public preview for Declarative Native Apps. Providers can share a whole directory of files and folders by declaring a workspace in the application package manifest. Consumers get a read-only workspace when they install the app, and can browse the folder structure and open the files.
Gateway Monitoring & A/B Testing (General availability)
Gateway Monitoring & A/B Testing is now generally available. Use gateway model monitors to track drift and performance for inference services behind a Snowflake Gateway, compare baseline and challenger services during live traffic splits, and evaluate results in Snowsight or with SQL. For more information, see Gateway monitoring & A/B testing .
Multi-party Approval (General availability)
Multi-party Approval (MPA) is now generally available. When a Multi-party Approval policy is attached to your account, MPA enforces a mandatory second-person (“four-eyes”) verification step for critical account operations. A Multi-party Approval policy defines which operations require approval and who can approve them.
Unity Gateway is now generally available
Unity Gateway is now generally available. Unity Gateway is the Databricks governance solution for enterprise AI, part of Unity Catalog. With Unity Gateway you can: Control which AI services teams can use. Route and manage AI traffic across providers. Govern MCP servers to control access and costs. Monitor usage, cost, access, and lineage from one place.
Sharing Delta tables with Iceberg reads enabled is now generally available
Sharing Delta tables with Iceberg reads enabled is now generally available. See Delta Lake feature support matrix .
Sharing Delta tables with deletion vectors and column mapping is now generally available
Sharing Delta tables with deletion vectors or column mapping enabled is now generally available. See Add tables with deletion vectors or column mapping to a share .
More from GitHub CopilotEvery GitHub Copilot release →
Retiring the Copilot Billing Preview app
We’ve retired the GitHub Copilot Billing Preview app, and it’s no longer available. You can review and manage your Copilot spend directly in your GitHub billing settings. The app helped you understand your bill during the move to usage-based billing.
Customize the reasoning level for Copilot cloud agent
When you delegate a task to GitHub Copilot cloud agent, you can now set the reasoning level for models that support it. This allows you to control how much the model reasons before it responds. A higher level can improve answers to complex problems, but it consumes more tokens, and therefore more credits.
Enterprise team specialization for managed settings
Enterprise administrators can now customize managed settings by targeting enterprise teams with itemized configuration files. Large enterprises can scale governance without bottlenecking every configuration change through central administrators or one-size-fits-all policies.
Trigger Copilot automations with comments
You can now create Copilot cloud agent automations that run when an issue comment or pull request comment is created. Common use cases include: Generate documentation : Comment on a pull request to automatically generate or update documentation based on your code changes.
Kimi K3 is now available in GitHub Copilot
Editor’s note (August 6, 2026): We have resumed rolling out Kimi K3 in GitHub Copilot. This model is billed at provider list pricing under usage-based billing. See GitHub Copilot’s pricing for models and requests for details. Editor’s note (August 6, 2026): We have temporarily paused the roll-out of Kimi K3 while we mitigate an incident with GitHub Actions.
GitHub Copilot weekly releases , August 3
This week’s updates across GitHub Copilot in the desktop app, CLI, and VS Code help you resume and organize work, review changes, and ask questions without losing context. GitHub Copilot app Auto now shows which model handled each completed request, plus AI credit and cache details when they’re available.
Copilot impact dashboard adds a return on investment section
The Copilot impact dashboard now includes a “Potential return on investment” section that connects what you spend on Copilot to the pull request output you get back.
Copilot code review effort levels are generally available
Lite and Balanced effort levels for GitHub Copilot code review are now generally available. They let you match the depth of a review to the complexity and risk of a pull request. Not every pull request needs the same scrutiny.