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

Is it secure? How do you ensure security?

How scalable is the platform?

What level of expertise is required to use it?

Can we use our own agents?

How fast can we get onboarded?

What ongoing support will we need?

Subscribe to our newsletter

Join the waitlist to keep up with Coral Protocol.

©2025 Coral Protocol.

FAQ's

Is it secure? How do you ensure security?

How scalable is the platform?

What level of expertise is required to use it?

Can we use our own agents?

How fast can we get onboarded?

What ongoing support will we need?

Subscribe to our newsletter

Join the waitlist to keep up with Coral Protocol.

©2025 Coral Protocol.

FAQ's

Is it secure? How do you ensure security?

How scalable is the platform?

What level of expertise is required to use it?

Can we use our own agents?

How fast can we get onboarded?

What ongoing support will we need?

Subscribe to our newsletter

Join the waitlist to keep up with Coral Protocol.

©2025 Coral Protocol.