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GitHub Integration

AI Agents That Supercharge Your GitHub Workflow

Deploy AI agents that review PRs, triage issues, and monitor builds — so your engineering team ships faster with fewer bottlenecks.

70% faster PR review cycles

Engineering teams using AgentTeams cut code review turnaround from days to hours

Your engineering workflow is bottlenecked

Code review backlogs, untriaged issues, and manual processes slow your team down. Engineers should be building, not managing.

4.5d

Average PR review cycle

Pull requests sit in the queue for days while reviewers are busy with their own work. Feedback comes late, context is lost, and merges stall.

62%

Issues with no first response

Bug reports and feature requests pile up without acknowledgment. Contributors lose patience and community engagement drops.

15h

Weekly time on triage

Engineering leads spend hours labeling, prioritizing, and assigning issues instead of solving technical problems.

How it works with GitHub

Three steps to an AI agent that accelerates your entire engineering workflow.

01

Connect GitHub

Install the AgentTeams GitHub App on your repositories. Your AI agent gets access to PRs, issues, and CI/CD status with the permissions you choose.

02

Set review standards

Define your code review criteria, issue triage rules, and escalation policies. Tell your agent what to approve, what to flag, and when to loop in a human.

03

Ship faster

Your AI agent starts reviewing PRs, triaging issues, and monitoring builds immediately. Your engineering team focuses on building, not managing.

Everything you need for GitHub automation

From code review to release notes, your AI agent handles the engineering overhead so your team can focus on shipping.

Automated PR review

Your AI agent reviews pull requests for code quality, potential bugs, security concerns, and style guide compliance. It leaves detailed, actionable comments — just like your best reviewer.

Issue triage and labeling

New issues are automatically categorized by type (bug, feature, question), priority, and component. Your agent adds labels, assigns the right team, and acknowledges the reporter.

Bug report analysis

Your agent reads bug reports, identifies duplicates, requests missing reproduction steps, and links related issues. It surfaces patterns across reports that humans often miss.

Release notes generation

When you ship a release, your agent compiles changelogs from merged PRs, categorizes changes, and drafts release notes ready for publishing.

CI/CD monitoring

Your agent watches build pipelines, interprets failures, and suggests fixes. When a CI check fails, it comments on the PR with a clear explanation and recommended action.

Security vulnerability alerts

When your agent spots potential security issues in code changes or dependency updates, it flags them immediately with severity ratings and remediation guidance.

Ready to accelerate your engineering workflow?

See how AgentTeams AI agents can clear your PR backlog, triage issues automatically, and help your team ship with confidence.

Book a Demo

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