GitHub

Connect an agent via an official MCP server G

Agent access

Drive the product through a documented public API G

Agent access

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

Plug MCP servers into this product so it can use their tools G

Agent access

Use an official CLI G

Agent access

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

Operate the product with natural-language commands G

Agentic features

Point an agent at llms.txt or agent-oriented docs G

Agent access

Run the product headlessly / in CI for automation G

Agent access

Set up automations that run autonomously in the background G

Agentic features

Issue scoped/least-privilege API credentials for an agent G

Agent access

Build against official SDKs G

Agent access

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

Explore an interactive API reference with runnable examples G

Api quality

Rely on versioned APIs with a documented deprecation policy G

Api quality

Subscribe to events via webhooks G

Agent access

Test against a sandbox environment without touching production data G

Api quality

Define CI/CD pipelines as code using a YAML syntax C

Pipeline authoring

Create and manage Git repositories and browse their commit history C

Repo management

Define rules that trigger actions automatically on events G

Consolidate static analysis, dependency, secret, and dynamic security scanning into one platform C

Vulnerability scanning

Propose, discuss, and merge code changes using a pull or merge request workflow C

Repo management

Run CI/CD jobs on runners hosted by the platform without managing infrastructure C

Runners

Automatically receive pull requests that update vulnerable dependencies C

Vulnerability scanning

Export all of my data in open formats and leave G

Track requirements, features, and bugs using issues with milestones, time tracking, and dependencies C

Issue tracking

Install a self-managed instance of the platform without laborious configuration G

Deployment options

Prevent my data from being used to train AI models G

Review code changes online and respond to inline review comments C

Code review

Secure my account with two-factor authentication G

Access security

Self-host the core product G

Assign the initial code review of a pull request to an AI reviewer for faster turnaround C

Code review

Extend my stack with third-party apps, actions, and AI models from a marketplace C

Marketplace extensions

Have an AI reviewer analyze code changes and suggest fixes during review C

Code review

Set up SSH keys to authenticate and connect securely to the platform G

Access security

Detect and remediate leaked secrets across the organization's repositories C

Vulnerability scanning

Have AI automatically generate and apply fixes for detected security vulnerabilities C

Vulnerability scanning

Reuse community-built CI/CD actions or plugins in my pipelines C

Pipeline authoring

Automate application deployments as part of my CI/CD pipeline C

Deployment

Do everything through the API that I can do in the UI G

Generate and manage personal access tokens for authenticating to the platform G

Access security

Organize work from high-level roadmaps to everyday tasks using project boards C

Issue tracking

Enforce coding standards and CI/CD policies across all teams and repositories C

Policy enforcement

Launch a ready-to-code cloud-based development environment in seconds C

Dev environments

Perform bulk operations across many items at once G

Control granular access permissions at the workspace, project, repository, and branch level C

Repo management

Automatically update linked issue tracker statuses by referencing issue keys in my commits C

External pm sync

Get centralized visibility into CI/CD workflow runs across the organization C

Runners

Read the product's source under an open license G

Search across repositories to find code, files, and commits C

Repo management

Review large diffs and view third-party code quality reports directly in the review screen C

Code review

Run CI/CD jobs on my own self-hosted or private runners C

Runners

Schedule recurring jobs or workflows G

Choose where my data is stored (region/residency) G

Control data retention and deletion G

Enforce standardized, customizable merge checks before code can be merged C

Code review

Opt out of telemetry and usage tracking G

Publish and consume software packages in multiple package formats from the same platform C

Package registry

Restrict repository access to specific IP address ranges C

Access security

Run my self-hosted instance on my choice of operating system and architecture, including containers G

Deployment options

Scale my self-hosted installation using reference architectures supporting tens of thousands of users G

Deployment options

Use migration tooling to move my code and users from another platform or from self-hosted to cloud C

Deployment options

Manage projects and assign tasks from my mobile device C

Issue tracking

Connect the platform to external CI/CD tools instead of using its native pipelines C

External ci cd integration

Manage external issue tracker items directly within the code hosting UI C

External pm sync

Sync repository notifications and activity with chat tools C

Chat notifications

Version, review, and roll back my automations G

Install third-party security scanning integrations directly from a security tab C

Security tool integrations

Make a single annual commitment and flexibly allocate spend across seat-based and usage-based licensing G

Licensing cost management

Map incidents to deployments and require change approval before releases C

Deployment

Access built-in resources to learn the Git version control system C

Onboarding

Require automated change approval workflows before code reaches production C

Policy enforcement