You will get AI Code Review System for GitHub PRs using LLM and automation
Project details
I will build an AI-powered automated GitHub Pull Request review system that analyzes code changes using Large Language Models and enforces company coding standards before code is merged.
This system automatically reviews pull requests, checks them against configurable rules, and posts structured feedback directly to GitHub. It helps teams maintain high code quality, consistent standards, and faster development workflows.
The system integrates with GitHub using webhooks and automatically triggers reviews whenever a new pull request is opened or updated.
Key features include:
• Automated AI code review using LLMs (Groq)
• Pull request diff analysis and feedback generation
• Company rule enforcement via configurable YAML rules
• Automatic PR comments with improvement suggestions
• Pass/fail merge decision based on review results
• Webhook-based automation for real-time reviews
• Dashboard to visualize review statistics and logs
This solution is ideal for:
Engineering teams enforcing coding standards
CI/CD automation pipelines
Code quality monitoring systems
The final system will be production-ready and easily integrated into your GitHub workflow.
This system automatically reviews pull requests, checks them against configurable rules, and posts structured feedback directly to GitHub. It helps teams maintain high code quality, consistent standards, and faster development workflows.
The system integrates with GitHub using webhooks and automatically triggers reviews whenever a new pull request is opened or updated.
Key features include:
• Automated AI code review using LLMs (Groq)
• Pull request diff analysis and feedback generation
• Company rule enforcement via configurable YAML rules
• Automatic PR comments with improvement suggestions
• Pass/fail merge decision based on review results
• Webhook-based automation for real-time reviews
• Dashboard to visualize review statistics and logs
This solution is ideal for:
Engineering teams enforcing coding standards
CI/CD automation pipelines
Code quality monitoring systems
The final system will be production-ready and easily integrated into your GitHub workflow.
AI Development Type
Deep Learning, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$280
|
Advanced
$420
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 6 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$40Frequently asked questions
About Aditya
Generative AI Engineer | Machine Learning Engineer | Python
Amravati, India - 9:48 pm local time
I help businesses build AI-powered products such as intelligent chatbots, document assistants, and automation tools using Large Language Models and modern ML frameworks.
I have hands-on experience developing production-ready AI applications, including RAG-based knowledge assistants, LLM-powered chat systems, resume/job matching tools, and document intelligence platforms.
I work across the entire AI development lifecycle, from data processing and model integration to deployment and scaling.
What I Can Help You Build
• Generative AI applications using LLMs
• RAG (Retrieval-Augmented Generation) systems
• AI chatbots trained on custom data
• Document AI (PDF, knowledge base assistants)
• Machine learning models for prediction & analytics
• AI automation tools
Tech Stack
Python • Machine Learning • Generative AI
LangChain • LangGraph • LLM APIs
Vector Databases (Pinecone, FAISS)
FastAPI • Streamlit
Docker • Cloud Deployment
Why Clients Work With Me
✔ Build scalable AI systems, not just prototypes
✔ Focus on real-world business use cases
✔ Deliver clean, production-ready code
If you're looking to build AI-powered tools, automation, or ML solutions, let's discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Aditya can start the project.
Delivery time starts when Aditya receives requirements from you.
Aditya works on your project following the steps below.
Revisions may occur after the delivery date.
Project Requirement Review
Review your repository, coding standards, and automation requirements.
GitHub Integration Setup
Integrate the system with GitHub APIs to access pull requests and diffs.