Automated Pull Request Quality Assurance

Software Development

Overview

Automatically clone, analyze, test, and annotate every GitHub pull request with quality suggestions before human code review begins.

Key Stakeholders

  • Application Developers - Faster feedback loops, improved code quality

  • Development Teams - Reduced manual review overhead

  • Project Managers - Consistent quality standards and audit trails

  • Agent Developers - Per-analysis compensation model

Technical Architecture

Deployment: Coral Server with GitHub webhook integration
Infrastructure: Containerized agents with shared workspace volumes

Agent Ecosystem

  • Interface Agent - GitHub webhook processing and session orchestration

  • GitClone Agent - Repository cloning and diff generation

  • CodeDiffReview Agent - Risk assessment and test identification

  • UnitTestRunner Agent - Automated test execution

  • RepoUnitTestAdvisor Agent - Coverage analysis and test suggestions

  • RepoUnderstanding Agent - Architecture change detection

  • DocConsistencyChecker Agent - Documentation validation

Workflow

  1. PR Creation - Developer pushes branch and opens pull request

  2. Webhook Processing - Interface Agent receives GitHub webhook, creates Fed session

  3. Code Retrieval - GitClone Agent clones repository and generates file-change manifest

  4. Risk Analysis - CodeDiffReview Agent identifies risky changes and affected tests

  5. Test Execution - UnitTestRunner Agent runs test suite and logs results

  6. Coverage Assessment - RepoUnitTestAdvisor Agent analyzes coverage gaps and suggests additional tests

  7. Architecture Review - RepoUnderstanding Agent updates repository map for architectural changes

  8. Documentation Check - DocConsistencyChecker Agent validates documentation consistency

  9. Settlement - All agents submit claims, escrow pays out fees, unused budget returned

Success Metrics

  • Session Budget: Default 2K tokens (configurable)

  • Test Coverage: Threshold-based analysis

  • Processing Speed: Webhook to analysis completion

  • Quality Improvement: Reduction in human review time

Failure Handling

  • Clone Failures: Rate limit handling with developer notification

  • Test Timeouts: Retry logic (max 2 attempts) with failure summaries

  • Low Coverage: Manual review flags when confidence < 0.6

FAQ's

What is the Internet of AI Agents?

What is the Coral Protocol?

What is the Coral Server?

How can I work with Coral?

What technologies and frameworks does Coral support?

Subscribe to our newsletter

Join the waitlist to keep up with Coral Protocol.

©2025 Coral Protocol.

FAQ's

What is the Internet of AI Agents?

What is the Coral Protocol?

What is the Coral Server?

How can I work with Coral?

What technologies and frameworks does Coral support?

Subscribe to our newsletter

Join the waitlist to keep up with Coral Protocol.

©2025 Coral Protocol.

FAQ's

What is the Internet of AI Agents?

What is the Coral Protocol?

What is the Coral Server?

How can I work with Coral?

What technologies and frameworks does Coral support?

Subscribe to our newsletter

Join the waitlist to keep up with Coral Protocol.

©2025 Coral Protocol.