A deep learning-based variant caller that takes aligned reads in BAM or CRAM format, produces pileup image tensors, classifies each tensor using a convolutional neural network,...
What customers say
“GitHub Copilot will bring huge benefits to our engineering teams by reducing the amount of time spent on boilerplate code, keeping the teams in their flow state, allowing them to ship high-quality products to market faster.”
“At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.”
Ali-Reza Adl-Tabatabai Senior Director of Engineering @ UberDeepVariant customer
“GitHub's endless plug-ins, beautiful UI, and optimized workflows make devs happy. Happy and empowered engineers write the best code, make better decisions, and have more time to innovate.”
Jen Peck Senior Director of Engineering @ RedfinDeepVariant customer
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GitHub has introduced a public preview of agent automation controls for GitHub Issues. These new features enable automated agents to suggest or apply code changes directly to issues with associated explanations and confidence scores. Users can review suggestions manually or configure the system to automatically apply changes that meet a high-confidence threshold.
Product launch
GitHub launches Copilot CLI for terminal-based agentic workflows
GitHub has officially launched GitHub Copilot CLI, a terminal-native agent that enables autonomous development workflows directly from the command line. The tool integrates with GitHub's Model Context Protocol (MCP) to interact with issues, pull requests, and repositories. It supports multi-agent workflows through a '/fleet' command for parallel execution and allows developers to switch between various foundation models, including those from Anthropic, Google, and OpenAI. The CLI is available across all Copilot subscription plans and includes features for session persistence, custom agent skills, and existing governance policy enforcement.
GitHub has integrated Anthropic's Claude Opus 5 model into GitHub Copilot. The model is optimized for complex, multi-step coding workflows, such as autonomous code changes and regression verification. It features enhanced security safeguards for cyber-related content and is available to Copilot Pro+, Max, Business, and Enterprise users across major development environments including VS Code, Visual Studio, and GitHub Mobile. Rollout is gradual, and organization administrators must enable the specific policy to grant user access.
Multi-select fields now available in GitHub Projects and Issues
GitHub has moved multi-select fields for Projects and Issues into public preview. This update allows users to apply multiple values to a single metadata field, such as tagging items with several categories, modules, or teams simultaneously, rather than being restricted to a single choice. The feature is configurable through the item sidebar, allowing for more detailed filtering and project management workflows.
New feature
GitHub Mobile enables automated CI failure fixes via Copilot
GitHub Mobile now includes a feature allowing users to address CI/CD failures on-the-go. When a GitHub Actions check fails on a pull request, users can select 'Fix with Copilot' to trigger an automated investigation. The agent analyzes the failure, proposes a fix by opening a new pull request, and prompts the user for review and merge. This workflow is available on the latest production builds of GitHub Mobile for iOS and Android.