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High-level architecture

The following diagram illustrates the high-level architecture of the CodeDaddy PR Review Workflow, showing how pull requests and commits are processed asynchronously and analyzed by multiple AI agents in parallel.

System Design

Overview

  1. Webhook Trigger — When a Pull Request or Commit event occurs, a webhook receives the event payload.
  2. Background Processing — The event is pushed into a Python RQ (Redis Queue) background job (GITHUB_PR_PROCESS).
  3. Workers — Multiple workers clone the repository, parse source files, build semantic graphs, and prepare contextual data.
    • Each worker uploads its processed context to S3.
  4. Context Initialization — A controller process downloads context from S3 and sets up the state for LangGraph nodes.
  5. Parallel Agent Execution — Several agents run concurrently:
    • code_quality_agent
    • performance_agent
    • security_agent
    • test_agent
  6. Aggregation Phase — The aggregator_agent combines insights from all agents.
  7. Comment Update — The aggregated output replaces the initial loading comment with a comprehensive final PR review comment.

Key Characteristics

  • Event-driven: Triggered by GitHub webhooks.
  • Asynchronous: Uses background workers for parallel processing.
  • Scalable: Each worker operates independently.
  • AI-powered: Multi-agent architecture performs different aspects of code analysis.
  • Automated Feedback: Automatically updates PR comments with contextual insights.