GitHub Copilot weekly releases , September 7

PreviewSep 10, 2026VerifiedAdded Sep 22, 2026

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.

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Read GitHub's release notes

https://github.blog/changelog/2026-09-10-github-copilot-weekly-releases-september-7

Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.

More GitHub Copilot releases

GitHub CopilotSep 10, 2026

MAI-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.

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GitHub CopilotSep 11, 2026

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.

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GitHub CopilotSep 11, 2026

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.

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GitHub CopilotSep 9, 2026

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.

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GitHub CopilotSep 9, 2026

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.

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GitHub CopilotSep 14, 2026

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.

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GitHub CopilotSep 15, 2026

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.

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GitHub CopilotSep 16, 2026

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.

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Also shipped on Sep 10, 2026

Google Cloud BigQuerySep 10, 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.

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Google Cloud BigQuerySep 10, 2026

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.

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Google Cloud BigQuerySep 10, 2026

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 .

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Google Cloud BigQuerySep 10, 2026

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.

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Snowflake SnowflakeSep 10, 2026

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.

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Snowflake SnowflakeSep 10, 2026

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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