
code-review-gpt
Code review powered by LLMs (OpenAI GPT4, Sonnet 3.5) & Embeddings ⚡️ Improve code quality and catch bugs before you break production 🚀 Lives in your Github/GitLab/Azure DevOps CI
Stars: 1771

Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. It should pick up on common issues such as exposed secrets, slow or inefficient code, and unreadable code. It can also be run locally in your command line to review staged files. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly.
README:
Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement.
It should pick up on common issues such as:
- Exposed secrets
- Slow or inefficient code
- Unreadable code
It can also be run locally in your command line to review staged files.
Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly.
https://github.com/mattzcarey/code-review-gpt/assets/77928207/92029baf-f691-465f-8d15-e1363fcb808e
See the setup instructions for more information.
See the action documentation for more information.
-
Clone the repository:
git clone https://github.com/mattzcarey/code-review-gpt.git cd code-review-gpt
-
Install dependencies (we use bun but you can use npm or pnpm if you prefer):
bun i
-
Set up the API key:
- Rename the
.env.example
file to.env
. - Open the
.env
file and replaceYOUR_API_KEY
with your actual OPENAI API key.
- Rename the
When used globally you should run export OPENAI_API_KEY=YOUR_API_KEY
(or similar for your operating system) in your terminal to set the API key.
-
Run the application:
bun start
See the package.json file for all the npm commands you can run.
- Make a PR 🎉
We use release-please on this project. If you want to create a new release from your PR, please make sure your PR title follows the Conventional Commits format. The release-please bot will automatically create a new release for you when your PR is merged.
- fix: which represents bug fixes, and correlates to a patch version.
- feat: which represents a new feature, and correlates to a SemVer minor.
- feat!:, or fix!:, refactor!:, etc., which represent a breaking change (indicated by the !) and will result in a major version.
Thanks to our wonderful contributors!
The roadmap shifts the focus to a Github app which can be installed on any repo. This will allow for a more seamless UX and better features including a chatbot to discuss the PR and make suggestions.
The code-review-gpt package will continue to be maintained and improved based on the feedback from the Github app.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for code-review-gpt
Similar Open Source Tools

code-review-gpt
Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. It should pick up on common issues such as exposed secrets, slow or inefficient code, and unreadable code. It can also be run locally in your command line to review staged files. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly.

buildel
Buildel is an AI automation platform that empowers users to create versatile workflows without writing code. It supports multiple providers and interfaces, offers pre-built use cases, and allows users to bring their own API keys. Ideal for AI-powered document retrieval, conversational interfaces, and data integration. Users can get started at app.buildel.ai or run Buildel locally with Node.js, Elixir/Erlang, Docker, Git, and JQ installed. Join the community on Discord for support and discussions.

BotServer
General Bot is a chat bot server that accelerates bot development by providing code base, resources, deployment to the cloud, and templates for creating new bots. It allows modification of bot packages without code through a database and service backend. Users can develop bot packages using custom code in editors like Visual Studio Code, Atom, or Brackets. The tool supports creating bots by copying and pasting files and using favorite tools from Office or Photoshop. It also enables building custom dialogs with BASIC for extending bots.

PanelCleaner
Panel Cleaner is a tool that uses machine learning to find text in images and generate masks to cover it up with high accuracy. It is designed to clean text bubbles without leaving artifacts, avoiding painting over non-text parts, and inpainting bubbles that can't be masked out. The tool offers various customization options, detailed analytics on the cleaning process, supports batch processing, and can run OCR on pages. It supports CUDA acceleration, multiple themes, and can handle bubbles on any solid grayscale background color. Panel Cleaner is aimed at saving time for cleaners by automating monotonous work and providing precise cleaning of text bubbles.

agentkit
AgentKit is a framework developed by Coinbase Developer Platform for enabling AI agents to take actions onchain. It is designed to be framework-agnostic and wallet-agnostic, allowing users to integrate it with any AI framework and any wallet. The tool is actively being developed and encourages community contributions. AgentKit provides support for various protocols, frameworks, wallets, and networks, making it versatile for blockchain transactions and API integrations using natural language inputs.

companion-vscode
Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

OpenHands
OpenDevin is a platform for autonomous software engineers powered by AI and LLMs. It allows human developers to collaborate with agents to write code, fix bugs, and ship features. The tool operates in a secured docker sandbox and provides access to different LLM providers for advanced configuration options. Users can contribute to the project through code contributions, research and evaluation of LLMs in software engineering, and providing feedback and testing. OpenDevin is community-driven and welcomes contributions from developers, researchers, and enthusiasts looking to advance software engineering with AI.

connery-sdk
Connery SDK is an open-source NPM package that provides an SDK and CLI for developing plugins and actions. The SDK offers a JavaScript API to define plugins and actions, which are then packaged into a plugin server with a standardized REST API. This enables automation in the development process and simplifies handling authorization, input validation, and logging. Users can focus on the logic of their actions while the standardized API allows various clients to interact with actions uniformly. Actions can communicate with external APIs, databases, or services, making it versatile for creating AI plugins and actions.

doku
OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just a single line of code. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

axoned
Axone is a public dPoS layer 1 designed for connecting, sharing, and monetizing resources in the AI stack. It is an open network for collaborative AI workflow management compatible with any data, model, or infrastructure, allowing sharing of data, algorithms, storage, compute, APIs, both on-chain and off-chain. The 'axoned' node of the AXONE network is built on Cosmos SDK & Tendermint consensus, enabling companies & individuals to define on-chain rules, share off-chain resources, and create new applications. Validators secure the network by maintaining uptime and staking $AXONE for rewards. The blockchain supports various platforms and follows Semantic Versioning 2.0.0. A docker image is available for quick start, with documentation on querying networks, creating wallets, starting nodes, and joining networks. Development involves Go and Cosmos SDK, with smart contracts deployed on the AXONE blockchain. The project provides a Makefile for building, installing, linting, and testing. Community involvement is encouraged through Discord, open issues, and pull requests.

LaVague
LaVague is an open-source Large Action Model framework that uses advanced AI techniques to compile natural language instructions into browser automation code. It leverages Selenium or Playwright for browser actions. Users can interact with LaVague through an interactive Gradio interface to automate web interactions. The tool requires an OpenAI API key for default examples and offers a Playwright integration guide. Contributors can help by working on outlined tasks, submitting PRs, and engaging with the community on Discord. The project roadmap is available to track progress, but users should exercise caution when executing LLM-generated code using 'exec'.

dify
Dify is an open-source LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more. It allows users to quickly go from prototype to production. Key features include: 1. Workflow: Build and test powerful AI workflows on a visual canvas. 2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions. 3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features. 4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval. 5. Agent capabilities: Define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools. 6. LLMOps: Monitor and analyze application logs and performance over time. 7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs for easy integration into your own business logic.

vibe
Vibe Design System is a collection of packages for React.js development, providing components, styles, and guidelines to streamline the development process and enhance user experience. It includes a Core component library, Icons library, Testing utilities, Codemods, and more. The system also features an MCP server for intelligent assistance with component APIs, usage examples, icons, and best practices. Vibe 2 is no longer actively maintained, with users encouraged to upgrade to Vibe 3 for the latest improvements and ongoing support.

OpenContracts
OpenContracts is a free and open-source document analytics platform designed to empower knowledge owners and subject matter experts. It supports multiple document formats, ingestion pipelines, and custom document analytics tools. Users can manage documents, define metadata schemas, extract layout features, generate vector embeddings, deploy custom analyzers, support new document formats, annotate documents, extract bulk data, and create bespoke data extraction workflows. The tool aims to provide a standardized architecture for analyzing contracts and making data portable, with a focus on PDF and text-based formats. It includes features like document management, layout parsing, pluggable architectures, human annotation interface, and a custom LLM framework for conversation management and real-time streaming.

thread
Thread is an AI-powered Jupyter alternative that integrates an AI copilot into your editing experience. It offers a familiar Jupyter Notebook editing experience with features like natural language code edits, generating cells to answer questions, context-aware chat sidebar, and automatic error explanations or fixes. The tool aims to enhance code editing and data exploration by providing a more interactive and intuitive experience for users. Thread can be used for free with Ollama or your own API key, and it runs locally for convenience and privacy.

snd
Sales & Dungeons is a tool that utilizes thermal printers for creating customizable handouts, quick references, and more for Dungeons and Dragons sessions. It offers extensive templating and random generation systems, supports various connection methods, and allows importing/exporting templates and data sources. Users can access external data sources like Open5e, import data from CSV and other formats, and utilize AI prompt generation and translation. The tool supports cloud sync and is compatible with multiple operating systems and devices.
For similar tasks

code-review-gpt
Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. It should pick up on common issues such as exposed secrets, slow or inefficient code, and unreadable code. It can also be run locally in your command line to review staged files. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly.

shell_gpt
ShellGPT is a command-line productivity tool powered by AI large language models (LLMs). This command-line tool offers streamlined generation of shell commands, code snippets, documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, Windows and compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc.

syncode
SynCode is a novel framework for the grammar-guided generation of Large Language Models (LLMs) that ensures syntactically valid output with respect to defined Context-Free Grammar (CFG) rules. It supports general-purpose programming languages like Python, Go, SQL, JSON, and more, allowing users to define custom grammars using EBNF syntax. The tool compares favorably to other constrained decoders and offers features like fast grammar-guided generation, compatibility with HuggingFace Language Models, and the ability to work with various decoding strategies.

llm.nvim
llm.nvim is a plugin for Neovim that enables code completion using LLM models. It supports 'ghost-text' code completion similar to Copilot and allows users to choose their model for code generation via HTTP requests. The plugin interfaces with multiple backends like Hugging Face, Ollama, Open AI, and TGI, providing flexibility in model selection and configuration. Users can customize the behavior of suggestions, tokenization, and model parameters to enhance their coding experience. llm.nvim also includes commands for toggling auto-suggestions and manually requesting suggestions, making it a versatile tool for developers using Neovim.

DemoGPT
DemoGPT is an all-in-one agent library that provides tools, prompts, frameworks, and LLM models for streamlined agent development. It leverages GPT-3.5-turbo to generate LangChain code, creating interactive Streamlit applications. The tool is designed for creating intelligent, interactive, and inclusive solutions in LLM-based application development. It offers model flexibility, iterative development, and a commitment to user engagement. Future enhancements include integrating Gorilla for autonomous API usage and adding a publicly available database for refining the generation process.

CodeGen
CodeGen is an official release of models for Program Synthesis by Salesforce AI Research. It includes CodeGen1 and CodeGen2 models with varying parameters. The latest version, CodeGen2.5, outperforms previous models. The tool is designed for code generation tasks using large language models trained on programming and natural languages. Users can access the models through the Hugging Face Hub and utilize them for program synthesis and infill sampling. The accompanying Jaxformer library provides support for data pre-processing, training, and fine-tuning of the CodeGen models.

llm.hunyuan.T1
Hunyuan-T1 is a cutting-edge large-scale hybrid Mamba reasoning model driven by reinforcement learning. It has been officially released as an upgrade to the Hunyuan Thinker-1-Preview model. The model showcases exceptional performance in deep reasoning tasks, leveraging the TurboS base and Mamba architecture to enhance inference capabilities and align with human preferences. With a focus on reinforcement learning training, the model excels in various reasoning tasks across different domains, showcasing superior abilities in mathematical, logical, scientific, and coding reasoning. Through innovative training strategies and alignment with human preferences, Hunyuan-T1 demonstrates remarkable performance in public benchmarks and internal evaluations, positioning itself as a leading model in the field of reasoning.

c4-genai-suite
C4-GenAI-Suite is a comprehensive AI tool for generating code snippets and automating software development tasks. It leverages advanced machine learning models to assist developers in writing efficient and error-free code. The suite includes features such as code completion, refactoring suggestions, and automated testing, making it a valuable asset for enhancing productivity and code quality in software development projects.
For similar jobs

sourcegraph
Sourcegraph is a code search and navigation tool that helps developers read, write, and fix code in large, complex codebases. It provides features such as code search across all repositories and branches, code intelligence for navigation and refactoring, and the ability to fix and refactor code across multiple repositories at once.

pr-agent
PR-Agent is a tool that helps to efficiently review and handle pull requests by providing AI feedbacks and suggestions. It supports various commands such as generating PR descriptions, providing code suggestions, answering questions about the PR, and updating the CHANGELOG.md file. PR-Agent can be used via CLI, GitHub Action, GitHub App, Docker, and supports multiple git providers and models. It emphasizes real-life practical usage, with each tool having a single GPT-4 call for quick and affordable responses. The PR Compression strategy enables effective handling of both short and long PRs, while the JSON prompting strategy allows for modular and customizable tools. PR-Agent Pro, the hosted version by CodiumAI, provides additional benefits such as full management, improved privacy, priority support, and extra features.

code-review-gpt
Code Review GPT uses Large Language Models to review code in your CI/CD pipeline. It helps streamline the code review process by providing feedback on code that may have issues or areas for improvement. It should pick up on common issues such as exposed secrets, slow or inefficient code, and unreadable code. It can also be run locally in your command line to review staged files. Code Review GPT is in alpha and should be used for fun only. It may provide useful feedback but please check any suggestions thoroughly.

DevoxxGenieIDEAPlugin
Devoxx Genie is a Java-based IntelliJ IDEA plugin that integrates with local and cloud-based LLM providers to aid in reviewing, testing, and explaining project code. It supports features like code highlighting, chat conversations, and adding files/code snippets to context. Users can modify REST endpoints and LLM parameters in settings, including support for cloud-based LLMs. The plugin requires IntelliJ version 2023.3.4 and JDK 17. Building and publishing the plugin is done using Gradle tasks. Users can select an LLM provider, choose code, and use commands like review, explain, or generate unit tests for code analysis.

code2prompt
code2prompt is a command-line tool that converts your codebase into a single LLM prompt with a source tree, prompt templating, and token counting. It automates generating LLM prompts from codebases of any size, customizing prompt generation with Handlebars templates, respecting .gitignore, filtering and excluding files using glob patterns, displaying token count, including Git diff output, copying prompt to clipboard, saving prompt to an output file, excluding files and folders, adding line numbers to source code blocks, and more. It helps streamline the process of creating LLM prompts for code analysis, generation, and other tasks.

ai-codereviewer
AI Code Reviewer is a GitHub Action that utilizes OpenAI's GPT-4 API to provide intelligent feedback and suggestions on pull requests. It helps enhance code quality and streamline the code review process by offering insightful comments and filtering out specified files. The tool is easy to set up and integrate into GitHub workflows.

github-pr-summary
github-pr-summary is a bot designed to summarize GitHub Pull Requests, helping open source contributors make faster decisions. It automatically summarizes commits and changed files in PRs, triggered by new commits or a magic trigger phrase. Users can deploy their own code review bot in 3 steps: create a bot from their GitHub repo, configure it to review PRs, and connect to GitHub for access to the target repo. The bot runs on flows.network using Rust and WasmEdge Runtimes. It utilizes ChatGPT/4 to review and summarize PR content, posting the result back as a comment on the PR. The bot can be used on multiple repos by creating new flows and importing the source code repo, specifying the target repo using flow config. Users can also change the magic phrase to trigger a review from a PR comment.

fittencode.nvim
Fitten Code AI Programming Assistant for Neovim provides fast completion using AI, asynchronous I/O, and support for various actions like document code, edit code, explain code, find bugs, generate unit test, implement features, optimize code, refactor code, start chat, and more. It offers features like accepting suggestions with Tab, accepting line with Ctrl + Down, accepting word with Ctrl + Right, undoing accepted text, automatic scrolling, and multiple HTTP/REST backends. It can run as a coc.nvim source or nvim-cmp source.