Releasesby GlyphGemini 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.
Also shipped Aug 13, 2026GitHub in August 2026 →
BigQuery pipelines add automated metadata enrichment in preview
Semantic metadata defined in SQLX configurations now syncs with Knowledge Catalog, and the Data Engineering Agent can generate this metadata from your intent or context.
Sharing tables backed by default storage will be enabled by default for all accounts
OpenSharing support for tables backed by default storage is generally available and on by default for most accounts. For most Enterprise or Premium tier accounts, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Expanded networking billing for OpenSharing SecureConnect
Databricks will be expanding networking billing for OpenSharing SecureConnect. Today, data providers are billed for data transfer (egress) when recipients access shared data through SecureConnect. Additional charge types and access scenarios, including charges billed to recipients, are planned.
OpenSharing SecureConnect will be available by default for all accounts
OpenSharing SecureConnect is generally available and available by default for accounts on the Premium plan. For accounts on the Enterprise plan, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Block or redact sensitive data in requests and responses
The Sensitive Data Detection guardrail (Beta) detects structured sensitive data (such as Social Security numbers, credit card numbers, IBANs, and phone numbers) and either blocks the interaction or redacts the matched values in place.
Smart Routing: Cut AI costs by routing each task to the right model
Smart Routing (Beta) automatically picks the right model and agent harness for each task, based on complexity, permissions, and budget. It shifts routine work to lower-cost models and reserves frontier models for hard problems, and every routing decision is visible and auditable.
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Grok 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.
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.
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.
Copilot on web expands conversation controls
We’ve made improvements to Copilot Chat on github.com that make it easier to use. These include easier access to your recent conversations in chat, the ability to minimize the chat window and return to an in-progress conversation, and indicators that help you track your Copilot token spend.