Code Review Pipeline
Automated code review system that checks quality, security vulnerabilities, performance issues, documentation coverage, and generates PR summaries.
šÆ Buy once, deploy on any framework
Includes implementations for OpenClaw, CrewAI, LangGraph, AutoGen, Semantic Kernel, Vanilla Python. One purchase ā all platforms.
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- ā All 6 platform implementations
- ā Full source code & documentation
- ā Commercial license included
- ā 30-day money-back guarantee
- ā Free updates for 1 year
- ā 30-day email support
Choose Your Platform
One purchase includes all 6 implementations. Deploy on whichever framework fits your stack.
OpenClaw
Install as an OpenClaw skill that auto-triggers on git push/PR events. Integrates with GitHub webhooks and posts review comments automatically.
Included in OpenClaw version
- ā5 agent skill configs (.md)
- āAGENTS.md orchestration
- āGitHub webhook handler
- āAuto-comment integration
- āCron for scheduled audits
ā” Why OpenClaw?
One-click install, automatic orchestration, built-in cron scheduling, and memory integration. Other platforms require manual setup ā OpenClaw gets you to production in minutes.
Code Preview ā OpenClaw
# Install the Code Review Pipeline skill pack
openclaw skills install code-review-pipeline
# AGENTS.md orchestration
# āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
# ## Code Review Pipeline
# Triggered on: GitHub PR webhook
# 1. Code Reviewer checks quality & patterns
# 2. Security Scanner runs OWASP checks
# 3. Performance Analyst profiles complexity
# 4. Doc Checker verifies coverage
# 5. PR Summarizer posts combined review comment
#
# ## Cron: Weekly Security Audit
# 0 9 * * 1 ā Full repo security scan every MondayAgent Architecture
How the 5 agents work together
Your data, triggers, or requests
Code Reviewer
Code Quality & Best Practices
Reviews code for quality, readability, design patterns, and best practices. Provides actionable suggestions with code examples.
Security Scanner
Vulnerability Detection
Scans for security vulnerabilities including OWASP Top 10, insecure dependencies, hardcoded secrets, and injection risks.
Performance Analyst
Performance Optimization
Identifies performance bottlenecks, algorithmic inefficiencies, N+1 queries, and memory leaks.
Documentation Checker
Documentation Coverage
Evaluates documentation coverage, identifies undocumented public APIs, and suggests documentation improvements.
PR Summarizer
Pull Request Summary Generation
Generates comprehensive PR summaries with change categories, impact assessment, and reviewer focus areas.
Structured results, reports, and actions
What's Included
Everything you get with this template
The Problem
Code reviews are a bottleneck. Senior engineers spend 5-10 hours per week reviewing PRs, often catching the same patterns repeatedly. Security issues, performance problems, and documentation gaps slip through when reviewers are rushed.
The Solution
A 5-agent review pipeline that automatically analyzes every PR for code quality, security vulnerabilities, performance issues, and documentation coverage. Generates actionable summaries so human reviewers can focus on what AI can't: architecture and design.
Tools You'll Need
Everything required to build this 5-agent system ā click any tool for details
Agent orchestration for the 5-agent review crew
LLM provider for code analysis
Parallel review branches with merge logic
Tracing review decisions and accuracy monitoring
Sandboxed code execution for testing fixes
Automated code fix generation
Error tracking integration for production context
Agent performance and cost monitoring
Review history and pattern tracking database
Notifications for critical security findings
Implementation Guide
11 steps to build this system ā¢ 3-4 hours estimated
š Prerequisites
Set up GitHub webhook integration
Configure webhooks for PR creation/updates. Parse diffs, changed files, and PR metadata.
Build the Code Reviewer agent
Configure with language-specific prompts, best practices, and your team's coding standards.
Configure the Security Scanner
Set up OWASP Top 10 detection, dependency vulnerability checks, and secrets detection patterns.
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Use Cases
Code Preview
Sample agent setup ā see platform-specific previews above
from crewai import Agent, Task, Crew, Process
code_reviewer = Agent(
role='Senior Code Reviewer',
goal='Ensure code quality and best practices',
backstory='10+ years of code review experience...',
tools=[ast_parser, linter, pattern_matcher]
)
security_scanner = Agent(
role='Application Security Engineer',
goal='Find security vulnerabilities before production',
backstory='OWASP expert, former pentester...',
tools=[sast_engine, dep_checker, secrets_detector]
)
review_crew = Crew(
agents=[code_reviewer, security_scanner,
perf_analyst, doc_checker, pr_summarizer],
tasks=[review_task, security_task, perf_task,
doc_task, summary_task],
process=Process.sequential
)Example Input & Output
See what goes in and what comes out
{
"repo": "acme/backend",
"pr_number": 847,
"diff": "+ def get_user(id):\n+ query = f'SELECT * FROM users WHERE id={id}'\n+ return db.execute(query)\n...",
"files_changed": 12,
"lines_added": 340
}## PR #847 Review Summary š“ **1 Critical Security Issue** - SQL injection in `get_user()` ā uses f-string interpolation ā Fix: Use parameterized queries š” **2 Performance Warnings** - N+1 query in `list_orders()` (line 84) - Unbounded list growth in `process_batch()` (line 127) š¢ **Code Quality: 8.2/10** - Good separation of concerns - Missing type hints in 3 functions š **Documentation: 65% coverage** - 4 public functions missing docstrings
Requirements
Reviews
What builders are saying
Reviews will be available after launch. Sign up above to be notified!
Frequently Asked Questions
Do I get all 6 platform implementations?+
Yes. One purchase includes OpenClaw (5-min setup), CrewAI, LangGraph, AutoGen, Semantic Kernel, and vanilla Python versions. Deploy on whichever platform your team uses.
Does this replace human code review?+
No ā it augments it. The pipeline catches mechanical issues (security, performance, docs) so human reviewers can focus on architecture and design decisions.
What languages does it support?+
Python, JavaScript/TypeScript, Go, and Rust out of the box. The modular design makes adding other languages straightforward.
Can I integrate it with my CI/CD pipeline?+
Yes. Includes ready-to-use GitHub Actions and GitLab CI configs. The OpenClaw version auto-triggers on GitHub webhooks with zero CI config needed.
How accurate is the security scanning?+
The Security Scanner combines LLM analysis with rule-based checks (OWASP, CWE). It catches common vulnerabilities with high accuracy but should complement (not replace) dedicated SAST tools for critical applications.
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