How to build a code reviewer
A code review and compliance assistant that searches your repository, detects errors, security and compliance issues, and delivers an actionable summary for QA or security teams.
Challenge
Reviewing large codebases for bugs, security flaws, and compliance risks is slow, inconsistent, and fragmented across multiple sources like GitHub, docs, or uploaded files. Teams waste weeks manually scanning code, writing test plans, and preparing reports, often missing issues or duplicating work.
Industry
Industrials
Operations
Department
IT
Policy
Integrations
Anthropic
Knowledge Base
TL;DR
A code review and compliance assistant that takes your query, searches your code repository, analyzes code for errors, security, and compliance issues, and delivers a structured, actionable summary, ready for QA, compliance, or security teams.
What It Does
Accepts a code review or compliance question from the user.
Searches your code repository for relevant code snippets or documentation.
Analyzes the code for bugs, security issues, compliance risks, and optimization opportunities.
Summarizes findings, provides recommendations, and suggests additional tests.
Delivers a clear, formatted output for easy review and action.
Can be extended to connect to other code sources (e.g., GitHub, Notion, Google Drive) or accept file uploads.
Who It’s For
Developers, QA, and compliance teams needing fast, expert code reviews.
Security professionals seeking automated risk detection.
Anyone who wants to automate code analysis and compliance checks.
The Core Challenges This Solves
Large codebases are overwhelming to navigate and review.
Manual checks for security and compliance risks are time-consuming and inconsistent.
Generating actionable test plans and recommendations takes weeks of effort.
Integrating results from multiple sources (GitHub, documentation, uploaded files) creates fragmentation and delays.
Common Pain Points for Code Review & Compliance
Sifting through large codebases for issues
Manually checking for security and compliance risks
Generating actionable recommendations and test plans
Integrating results from multiple code sources
Time-consuming documentation and reporting
Output
A formatted summary with:
Diagnosed issues and risks
Specific recommendations
Suggested tests
References to best practices
What This Agent Delivers
Automated code search and retrieval from your repository
Expert analysis for bugs, security, and compliance
Actionable recommendations and test suggestions
Clean, formatted output ready for review or audit
Ability to connect to additional code sources or accept file uploads
Step-by-Step Build (StackAI Nodes)
Below is a breakdown of your current workflow, mapped to the template’s steps:
User Query (Input Node)
What it does: Lets the user enter their code review or compliance question.
Goal: Capture the user’s intent for downstream processing.
Code Search (Knowledge Base Node)
What it does: Searches your code repository for relevant code snippets or documentation matching the user’s query.
Goal:Gather the code context needed for analysis.
Code Analysis & Compliance Review (LLM Node)
What it does: Analyzes the retrieved code for:
Programming errors or bugs
Security issues
Compliance risks
Optimization opportunities
Provides:
Structured diagnosis
Specific recommendations
Suggested tests
References to best practices
Prompt:
You are an expert AI assistant specialized in code review and compliance. Your primary role is to analyze code snippets and technical documentation to detect: - Programming errors or potential bugs. - Security issues (e.g., injections, unsafe practices, insecure dependencies). - Risks of non-compliance with quality standards, audits, or regulations. - Missing test coverage or the need for additional test cases. - Opportunities for performance optimization or maintainability improvements. Always respond with: 1. A clear, structured diagnosis of findings. 2. Specific recommendations to fix or improve the code. 3. Suggested unit, integration, or security tests that should be added. 4. References to best practices, style guides, or relevant standards when applicable. Your tone must be: - Professional and concise. - Educational (explain the “why” behind each finding). - Focused on helping QA, Compliance, and Security teams make quick, effective decisions. If no issues are found, confirm that the code follows good practices and optionally suggest minor improvements. Find the code from the knowledge base |
Output (Output Node)
What it does: Delivers the final, formatted analysis to the user.
Goal: Ensure the user receives all results in one place.
How to Extend This Workflow
To connect additional code sources (e.g., GitHub, Notion, Google Drive):
Add an Action node for that service and use your connection ID.
Configure the node to search or retrieve code as needed.
Connect the output to your Knowledge Base or LLM node.
To connect to an API (e.g., for external code repositories):
Add a “Send HTTP Request” Action node.
Set up the node with the API endpoint, authentication, and query parameters.
Parse the results and connect them to your analysis node.
To upload files (e.g., code files, documentation):
Use the Files node to upload and process documents directly in your workflow.
This workflow can be exported as a chat assistant or a chatbot.
Example User Journey
1. You enter:
“Generate a test plan for this feature based on the code in the knowledge base.”
2. The workflow:
Searches your code repository for relevant code.
Analyzes the code for test coverage, compliance, and best practices.
Suggests a test plan, highlights risks, and provides recommendations.
3. You receive:
A structured summary with findings, recommendations, and suggested tests.
This workflow is ready to automate code review, compliance, and security analysis—delivering fast, expert results for your team!
