GitHub Mobile: Fix failing Actions checks with Copilot cloud agent

UpdateJul 23, 2026VerifiedAdded Sep 22, 2026

Now when a GitHub Actions check fails on your pull request, you can ask Copilot coding agent to investigate and directly fix the problem from GitHub Mobile. From the failed check, select Fix with Copilot to start the process. Copilot opens a new pull request on top of your existing pull request, analyzes the failing check, and attempts to implement a fix.

AI agents Governance Observability Developer tools Coding agents

Read GitHub's release notes

https://github.blog/changelog/2026-07-23-github-mobile-fix-failing-actions-checks-with-copilot-cloud-agent

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

More GitHub Copilot releases

GitHub CopilotJul 23, 2026

Copilot cloud agent for Linear is now generally available

You can now assign issues in Linear to Copilot cloud agent , our asynchronous, autonomous background agent. When you assign a Linear issue to Copilot, it will: Analyze the issue contents and open a draft pull request. Work independently in its own ephemeral development environment, powered by GitHub Actions.

GAAI agentsStreamingSecuritySource

GitHub CopilotJul 23, 2026

GitHub MCP Server supports the next MCP specification

The MCP protocol is going stateless on 28th July 2026, and the GitHub MCP Server supports the latest spec ahead of the official release. What’s changing The new stateless core means MCP deployments are now easy to scale. Extensions unlock innovation (e.g., MCP apps and Enterprise Managed Auth, both of which are already supported by VS Code).

BetaMCPSecurityDeveloper toolsSource

GitHub CopilotJul 23, 2026

Agent automation controls in GitHub Issues in public preview

Agent automations increasingly label, type, assign, and close issues for you. GitHub Issues now shows the reason behind each change and lets you review them before they’re applied, so you decide how much to automate and when to stay in the loop.

PreviewAI agentsDeveloper toolsSource

GitHub CopilotJul 24, 2026

Claude Opus 5 is now available in GitHub Copilot

Claude Opus 5, Anthropic’s newest Opus model, is now available in GitHub Copilot. It is designed for complex, long-running coding tasks that require careful reasoning, effective tool use, and reliable execution across multiple steps.

UpdateAI agentsLLMsSecuritySource

GitHub CopilotJul 22, 2026

New Copilot usage metrics impact dashboard

We’ve released a new Copilot metrics impact dashboard for enterprise administrators and organization owners. This dashboard helps you tell a deeper Copilot impact story by sharing not just who is active, but how they’re using Copilot.

UpdateAI agentsBIObservabilitySource

GitHub CopilotJul 21, 2026

Gemini 3.6 Flash is now available in GitHub Copilot

Gemini 3.6 Flash, Google’s latest Flash model, is now rolling out in GitHub Copilot. It is designed for web and app development, coding, and longer-horizon agentic tasks. It has configurable reasoning effort and support for parallel tool use across complex workflows.

PreviewAI agentsLLMsGovernanceSource

GitHub CopilotJul 20, 2026

AI credit pools for cost centers in the billing UI

You can now manage a cost center’s AI credit pool directly in the billing UI where you create and edit cost centers. Previously, you could only manage this through the GitHub REST API. This feature is available for Copilot Business and Copilot Enterprise on GitHub Enterprise Cloud. Toggle the AI credit pool on when you create or edit a cost center.

PricingPricingObservabilityDeveloper toolsSource

GitHub CopilotJul 20, 2026

Copilot users can now see AI credits used per billing cycle

Copilot Business and Copilot Enterprise users can now see how many AI credits they’ve used this billing cycle, even without an individual budget. Find this on your GitHub Copilot usage page in your GitHub settings. Previously, the page showed usage only as a percentage of a budget.

PricingPricingObservabilityCoding agentsSource

Also shipped on Jul 23, 2026

Snowflake SnowflakeJul 23, 2026

SQL environment variable and private Git package support for dbt Projects on Snowflake

Environment variable support for dbt Projects on Snowflake is now generally available. Manage per-developer schemas, dynamic runtime values, secrets, and multiple environments in a single, Git-versioned env.yml file that Snowflake resolves before each run.

GASQLSecuritySource

Snowflake SnowflakeJul 23, 2026

SERVICE_AGENT user type (General availability)

With this release, the SERVICE_AGENT user type is generally available. Use this user type for automated AI agents that interact with Snowflake using their own identity and privileges.

GAAI agentsSQLSecuritySource

Snowflake Snowflake Cortex AIJul 23, 2026

SHOW CORTEX BASE MODELS command (General availability)

With this release, we are pleased to announce the general availability of the SHOW CORTEX BASE MODELS command. Use this command to list the Cortex Base Models available in your account, along with each model’s lifecycle status, regional availability, legacy date, and end-of-life date.

GALLMsSource

Databricks LakeflowJul 23, 2026

C++ SDK for the Zerobus Ingest connector is now available in Beta

A C++ SDK for the Zerobus Ingest connector in Lakeflow Connect is now available in Beta. The SDK provides a high-throughput gRPC client for ingesting records directly into Unity Catalog Delta tables, with support for JSON and Protocol Buffers. See Use Zerobus Ingest .

BetaGovernanceData integrationObservabilitySource

Databricks AI/BI and GenieJul 23, 2026

Genie Code scheduled tasks are in Beta

You can now schedule Genie Code to run a prompt on a recurring schedule. Each run executes your prompt as a full Genie Code session and produces a continuable Genie chat with the results, so you can turn recurring analysis into an unattended background task. Create a scheduled task by asking Genie Code in chat or by filling in the create form manually.

BetaBISource

Databricks Databricks Data Intelligence PlatformJul 23, 2026

Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available (GA), powered by Apache Spark 4.2.0. For release notes, see Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning .

GASource