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Auteryn

Code Review & Testing Automation

Use Internal agents with the GitHub integration and Loops to review PRs and triage issues, with checks run in a sandbox.

Typical use: Auto-comment on new PRs, label GitHub issues, or run sandbox tests when a pull request is opened.

The Challenge

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Engineering teams struggle with:

  • PR review bottlenecks - Developers wait days for reviews
  • Inconsistent code quality - Style and patterns vary across team
  • Missing tests - Test coverage gaps lead to production bugs
  • Manual issue triage - Hours spent categorizing and prioritizing
  • Documentation debt - Code changes without doc updates

The cost:

  • Slower deployment cycles
  • More bugs in production
  • Developer frustration
  • Technical debt accumulation

The Solution

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Auteryn code agents integrate with your GitHub workflow to automate reviews, generate tests, and maintain quality—without slowing down your team.

Key Capabilities

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Automated PR Review

Review every PR for style, security, performance, and best practices, with feedback posted as PR comments.

Test Generation

Generate unit tests, integration tests, and edge case coverage automatically.

Issue Triage

Categorize, label, and prioritize GitHub issues. Route to the right team.

Documentation Sync

Update docs automatically when code changes. Keep everything in sync.

Security Scanning

Detect vulnerabilities, secrets in code, and security anti-patterns.

Persistent Sandbox

The repository is still cloned in the agent’s sandbox at the next run.

How It Works

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  1. Connect GitHub

    In the Console, open Integrations → GitHub and click Connect GitHub. Choose all repositories or only the ones to automate.

  2. Configure Review Rules

    Define what the agent should check: style, tests, security, performance, documentation.

  3. Activate on PRs

    Create a Loop on Pull Request Opened. The agent then reviews each new PR and posts its feedback as comments.

  4. Generate Tests

    Agent identifies missing test coverage and generates tests for approval.

Example workflow

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Create a GitHub Loop on Pull Request Opened that connects a code-reviewer Internal agent. The agent reads the diff and posts review comments. It can also run checks in the sandbox.

Features in Detail

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Intelligent Code Review

Section titled “Intelligent Code Review”

The agent checks for:

  • Style consistency - Follows your team’s conventions
  • Best practices - Language-specific patterns
  • Security issues - SQL injection, XSS, secrets in code
  • Performance - Inefficient algorithms, memory leaks
  • Test coverage - Missing tests for new code
  • Documentation - Missing or outdated comments

Context-Aware Testing

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Unlike simple test generators, Auteryn agents:

  • Understand your codebase architecture
  • Follow your testing patterns
  • Generate realistic test data
  • Cover edge cases and error paths
  • Maintain test consistency

Persistent Sandbox Benefits

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The agent’s persistent sandbox means:

  • Repository already cloned - no fresh clone for every PR
  • Dependencies already installed - packages persist in the session
  • Memory across reviews - with memory on, the agent can recall what it learned in earlier conversations

Integration Options

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GitHub

Built-in GitHub Integration. PR reviews, issue triage, and more through Loops.

Jira / Confluence

Read, search and create Jira issues, and read Confluence pages, through the Jira and Confluence Integrations.

Slack

Get notified of reviews, approve tests, and interact with agent.

GitLab (via sandbox / MCP)

Review merge requests by calling the GitLab API/CLI from the sandbox or a Custom MCP adapter. No native connector.

Other CI (via sandbox / MCP)

Drive CircleCI, Jenkins, or GitHub Actions from the sandbox or Custom MCP with your credentials.

Your own systems

Connect your internal systems through Custom MCP.

Pricing

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Code automation scales with your team:

  • Free: $0/month — 1,000 credits
  • Pro: $29/month — 15,000 credits ($24/mo billed annually)
  • Business: $99/month — 60,000 pooled credits ($83/mo billed annually)
  • Enterprise: Custom pricing for large teams

Actual PR-review volume depends on diff size and how deeply each review runs. See Pricing for full plan limits and credit rates.

Get Started

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  1. Sign up free - No credit card required

  2. Connect GitHub - In the Console, under Integrations

  3. Use the code-review Skill - attach it to your Agent in the Console

  4. Configure rules - Customize what the agent checks

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Questions?

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  • What languages are supported? The agent reads and reviews code in any common language. Running a project’s tests needs its toolchain in the sandbox.
  • Can it review large PRs? Yes. A very large diff takes longer and uses more credits.
  • How accurate are the reviews? Quality depends on the model and your review rules.
  • Can I customize review rules? Absolutely. You control what the agent checks and how strict it is.
  • What if it suggests wrong changes? You review and approve all suggestions. Put the corrections you make often into its instructions.

View all FAQs →