Releasesby GlyphGrok 4.6 is now available in GitHub Copilot
Grok 4.6, xAI’s latest reasoning model, is now rolling out in GitHub Copilot. It is designed for agentic coding and complex multi-step workflows. In our internal testing, Grok 4.6 showed strong results across terminal-based coding tasks in Visual Studio Code and Copilot CLI.
Also shipped Aug 14, 2026GitHub in August 2026 →
Trust Center violation findings remediation (General availability)
The following Trust Center findings remediation capabilities are now generally available:
Lakebase Postgres APIs are now generally available
Programmatic management of Lakebase Postgres is now generally available through the REST API, Databricks CLI, and Databricks SDKs (Python, Java, Go). These interfaces support operations for projects, branches, endpoints, databases, roles, credentials, synced tables, and catalogs. See Lakebase API guide .
Workiva connector (Beta)
The Workiva connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit activity, users, and roles from your Workiva organization into Databricks. Authentication uses Workiva OAuth2 client credentials. See Workiva connector .
Sharing managed Iceberg tables is now generally available
Sharing managed Iceberg tables in Databricks-to-Databricks sharing and open sharing is now generally available. Providers can now also share managed Iceberg tables to external Iceberg clients. See Add managed Iceberg tables to a share and Read shared managed Iceberg tables .
Gemini Enterprise: Gemini 3.7 Flash available in the mobile app
Gemini 3.7 Flash is generally available (GA) in the Gemini Enterprise mobile app. Mobile app users can select and use the Gemini 3.7 Flash model for their conversations within the app. To make the model available, administrators must turn on the Gemini 3.7 Flash feature toggle in the Google Cloud console.
Announcing: Azure Databricks Runtime 10.4 LTS will reach end of life on November 1, 2026
Azure Databricks Runtime 10.4 LTS, a Databricks-managed runtime available on Azure Databricks, reached end of support on March 18, 2025 and will reach end of life on November 1, 2026. After this date, Databricks Runtime 10.4 LTS will no longer be availabl
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GitHub Copilot weekly releases , August 10
From new models and portable plugins to smoother agent workflows, this week’s updates make GitHub Copilot more flexible across editors, the command line, and the Copilot app. GitHub Copilot, general Kimi K3 is rolling out to Copilot Pro, Pro+, Max, Business, and Enterprise plans.
Gemini 3.7 Flash is now available in GitHub Copilot
Gemini 3.7 Flash, Google’s latest Flash model, is now rolling out in GitHub Copilot. From our early testing, the model has made improvements in web and app development and agentic coding workflows over it’s previous version.
Agent Plugins 1.0 in VS Code, Copilot CLI, and the Copilot app
You can now build a plugin once and use it across all compatible agent clients. We published Agent Plugins 1.0 on August 6 with AWS, Anysphere, Microsoft, OpenAI, and Vercel. Google also joined as a core maintainer on the same day.
Copilot memory and Ollama in GitHub Copilot for JetBrains
This update brings persistent memory, local model access, and more enterprise controls to GitHub Copilot for JetBrains. It also improves everyday chat workflows and resolves reliability issues across MCP servers, terminals, customizations, and cloud agents.
Upcoming deprecation of MAI-Code-1-Flash
With the launch of MAI-Code-1.1-Flash , we will deprecate MAI-Code-1-Flash across all GitHub Copilot experiences on September 10, 2026: Model Deprecation date Suggested alternative MAI-Code-1-Flash 9-10-2026 MAI-Code-1.1-Flash Please update your workflows and integrations to use the new model before September 10.
MAI-Code-1.1-Flash available in GitHub Copilot
MAI-Code-1.1-Flash, Microsoft’s latest small-tier coding model, is now rolling out in GitHub Copilot. Building on MAI-Code-1-Flash, it adds native vision support for image understanding and delivers improvements across coding quality, instruction following, tool use, and performance.
Per-model token breakdown in the usage report
You can now see a per-model breakdown of the tokens behind your AI credits in the usage report. For each model, the AI usage report shows the input, output, cache read, and cache write tokens alongside the AI credits it consumed.
Enterprise managed settings in GitHub Copilot for JetBrains
GitHub Copilot for JetBrains now supports enterprise managed settings for plugin governance, MCP server access, OpenTelemetry, and permission modes. Administrators can now apply consistent controls for everyone on your enterprise’s Copilot plan.