Releasesby GlyphMAI-Code-1-Flash deprecated
We have deprecated MAI-Code-1-Flash across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions) today, September 10, 2026. Model Deprecation date Suggested alternative MAI-Code-1-Flash 2026-09-10 MAI-Code-1.1-Flash Please update your workflows and integrations to use a supported model.
Also shipped Sep 10, 2026GitHub in September 2026 →
BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .
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GitHub Copilot weekly releases , September 7
This week, GitHub Copilot introduces Jira integration in Copilot app and adaptive model orchestration with Project HydraFusion in Copilot CLI. We also introduced new agent automation in Visual Studio Code and expanded enterprise controls for Copilot in JetBrains. GitHub Copilot app Turn Jira issues into action.
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.
Enterprise managed permissions for GitHub Copilot agent operations
If you administer GitHub Copilot Business or GitHub Copilot Enterprise, you can now centrally control which agent operations are blocked, require human approval, or can proceed without a prompt. Managed permissions cover shell commands, file reads and edits, and network domains.
Enterprise-managed sandbox in Copilot for JetBrains
This update brings support for enterprise-managed sandbox policies, cross-file cursor jumps for next edit suggestions, global project context in chat, enterprise policy diagnostics, and a new connection between terminal Copilot CLI sessions and JetBrains IDEs.
Configure 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.
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.