Releasesby GlyphConfigure cost and quality in Copilot auto model selection
GitHub Copilot auto model selection now offers three tiers: efficiency, balance, and intelligence. Choose the tier that reflects how you want auto to weigh cost, quality, and response time for each prompt. Copilot will then optimize accordingly. Efficiency prioritizes keeping costs low and suits fast, straightforward tasks.
Also shipped Sep 14, 2026GitHub in September 2026 →
Metadata for BigQuery Graph is automatically ingested and searchable in Knowledge Catalog
Metadata for BigQuery Graph is automatically ingested and searchable in Knowledge Catalog . This feature is available in preview .
BigQuery supports WHERE clauses inside aggregate function calls in preview
Aggregate function calls can now include a WHERE clause that filters their input with a boolean expression, simplifying conditional aggregation in SQL.
Multimodal AI_SUMMARIZE for automatic theme summarization (Public Preview)
Snowflake Cortex AI_SUMMARIZE is now available in public preview, enabling customers to summarize text and multimodal content, including images and documents, directly in Snowflake.
Zero-copy support for all table formats in interactive warehouses (General availability)
Support for all table formats in interactive warehouses is now generally available and is no longer in Preview .
Genie visualizations in Slack replies (Public Preview)
When a Genie response includes a chart, the visualization now appears as an image in the Slack reply. If you installed the Databricks Genie app for Slack previously, reinstall it to enable this. See Visualizations .
Metadata for BigQuery Graph is now automatically ingested and searchable in Knowledge Catalog
Metadata for BigQuery Graph is now automatically ingested and searchable in Knowledge Catalog. This feature is available in preview . For more information, see Knowledge Catalog overview .
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GitHub Copilot suggests custom properties definitions
GitHub Copilot can now suggest allowed values when you create a custom property for repositories in your organization. This feature is in public preview for GitHub Copilot Business and Copilot Enterprise plans.
Copilot budget increase requests are generally available
Previously, when a member used all the Copilot AI credits available to them, they were blocked from Copilot features that consume credits. This release adds a flow for them to request more budget the moment they hit the limit. You can approve, adjust, or deny that request without leaving your settings.
Copilot impact dashboard now shows feature engagement
The Copilot impact dashboard now shows how many active users regularly use key Copilot features. Enterprise administrators can quickly see which experiences are widely adopted and which may need more enablement.
Agentic CLI customizations now in the usage metrics API
GitHub Copilot expands existing CLI report coverage with agentic activity metrics for skills, custom agents, Model Context Protocol (MCP) servers, slash commands, and plugins. What’s new The fields appear in enterprise and organization per-user and aggregate 1-day reports, per-user 28-day reports, and the day_totals entries in aggregate 28-day reports.
Copilot CLI 1.0.86
2026-09-17 Custom agents can opt into repository instruction files (AGENTS.md, copilot-instructions.md, CLAUDE.md) by setting include-custom-instructions: true in their frontmatter. Resuming an active session without plugin-directory, discovery, or working-directory overrides preserves marketplace plugins and skills after reload.
Add VS Code Agents to Copilot usage metrics
GitHub Copilot usage metrics reports now include generally available metrics for activity in the dedicated VS Code Agents window, helping you measure adoption and engagement across enterprises and organizations.
Auto-resolution and analysis updates in Copilot code review
Copilot code review now resolves its own comments once you address them and writes smart commit messages for you when you apply its code suggestions. Behind the scenes, Copilot now uses a broader set of shell tools to validate the code it reviews, and an ensemble of agents produce a more thorough review within the Lite effort level.
Copilot code review: An improved review experience
Copilot code review now gives you a clearer view of how a review changes over time, more intelligently auto-resolves its own suggestions, and generates useful commit messages when you accept eligible suggestions in a batch. These updates help you focus on findings that still need attention and make the resulting commits easier to understand.