Multi-Agent Workflow Studio

Chain specialized LLMs into autonomous execution pipelines with dynamic context variable injection.

Autonomous 3-Tier Code Review Pipeline

Extracts architecture patterns, audits for security & performance vulnerabilities, and synthesizes a high-level pull request review.

Pipeline Input Payload

Context Source

This payload will be injected into {{input}} and passed sequentially down the agent chain.

Step 1: Structural & API Extraction

Code Parser & Architecture Extractor

GPT-4o Omnimodal

System Directive:

Extract all data models, API endpoints, exported functions, and dependencies from the provided code snippet into a structured JSON overview.

Step 2: Deep Security & Performance Audit

SRE & Security Auditor

DeepSeek R1

System Directive:

Inspect the provided architecture summary and raw code for security risks, memory leaks, and edge-case failure modes. Detail your reasoning step-by-step.

Step 3: Executive PR Summary & Actionable Recommendations

Lead Staff Engineer

Claude 3.7 Sonnet

System Directive:

Produce a pristine, polished Markdown pull request review with a concise verdict (APPROVE / REQUEST CHANGES), prioritized action items, and patch recommendations.