kaizen
Automate the tedious development tasks with AI
Stars: 265
Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.
README:
Reclaim 40% of your development time with AI-powered automation.
- Introduction
- Key Features
- Why Choose Kaizen?
- Getting Started
- Usage Examples
- Contributing
- Join the Kaizen Community!
In today's fast-paced software development world, time is precious. Kaizen, inspired by the Japanese philosophy of continuous improvement, is here to revolutionize your development process.
Kaizen is an AI-powered suite that automates time-consuming tasks, allowing your team to focus on what truly matters - innovation and delivering value. By seamlessly integrating into your existing workflows, Kaizen empowers developers to:
- Receive instant, insightful code reviews
- Generate comprehensive tests automatically
- Maintain up-to-date documentation effortlessly
- Identify and resolve potential issues early
Whether you're a startup racing to market or an enterprise optimizing operations, Kaizen is your secret weapon for achieving development zen. Ready to transform your team's productivity and innovation? Let's dive in!
Kaizen revolutionizes your development workflow with AI-powered automation:
- ๐ค AI-Powered Code Reviews: Instant, insightful PR reviews
- ๐งช Intelligent Test Generation: Automated end-to-end and unit tests
- ๐จ UI Testing Automation: Streamlined component testing
- ๐ฌ Proactive Code Scanning: Early issue detection
- ๐ Automated Documentation: Effortless codebase documentation
- ๐ต๏ธ Smart AI Logger: AI-powered application monitoring
- โฐ Reclaim 40% of Development Time: Automate repetitive tasks and focus on what truly matters - building great software.
- ๐ช Empower Your Team: Provide developers with AI-powered tools to enhance their productivity and job satisfaction.
- ๐ก Drive Innovation: Free up mental bandwidth for creative problem-solving and feature development.
- ๐ Seamless Integration: Easily fits into your existing development workflow, minimizing disruptions and maximizing efficiency.
- Visit https://kaizen.cloudcode.ai
- Sign up for an account
- Follow the on-screen instructions to connect your repository
Help us redefine what's possible in software development:
โญ Star the Repository: Show your support and help us reach more developers.
๐ค Contribute: Check out our Contributing Guide to get started.
๐ฌ Join Discord: Connect with us and fellow developers on our Discord server.
๐ฃ Spread the Word: Share Kaizen with others who could benefit!
Together, let's build the future of coding!
Made with โค๏ธ by the Kaizen team
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for kaizen
Similar Open Source Tools
kaizen
Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.
refact-vscode
Refact.ai is an open-source AI coding assistant that boosts developer's productivity. It supports 25+ programming languages and offers features like code completion, AI Toolbox for code explanation and refactoring, integrated in-IDE chat, and self-hosting or cloud version. The Enterprise plan provides enhanced customization, security, fine-tuning, user statistics, efficient inference, priority support, and access to 20+ LLMs for up to 50 engineers per GPU.
ai-platform-engineering
The AI Platform Engineering repository provides a collection of tools and resources for building and deploying AI models. It includes libraries for data preprocessing, model training, and model serving. The repository also contains example code and tutorials to help users get started with AI development. Whether you are a beginner or an experienced AI engineer, this repository offers valuable insights and best practices to streamline your AI projects.
weam
Weam is an open source platform designed to help teams systematically adopt AI. It provides a production-ready stack with Next.js frontend and Node.js/Python backend, allowing for immediate deployment and use. Weam connects to major LLM providers, enabling easy access to the latest AI models. The platform organizes AI interactions into 'Brains' for different departments, offering customization and expansion options. Features include chat system, productivity tools, sharing & access controls, prompt library, AI agents, RAG, MCP, enterprise features, pre-built automations, and upcoming AI app solutions. Weam is free, open source, and scalable to meet growing needs.
magic
Magic is an open-source all-in-one AI productivity platform designed to help enterprises quickly build and deploy AI applications, aiming for a 100x increase in productivity. It consists of various AI products and infrastructure tools, such as Super Magic, Magic IM, Magic Flow, and more. Super Magic is a general-purpose AI Agent for complex task scenarios, while Magic Flow is a visual AI workflow orchestration system. Magic IM is an enterprise-grade AI Agent conversation system for internal knowledge management. Teamshare OS is a collaborative office platform integrating AI capabilities. The platform provides cloud services, enterprise solutions, and a self-hosted community edition for users to leverage its features.
refly
Refly.AI is an open-source AI-native creation engine that empowers users to transform ideas into production-ready content. It features a free-form canvas interface with multi-threaded conversations, knowledge base integration, contextual memory, intelligent search, WYSIWYG AI editor, and more. Users can leverage AI-powered capabilities, context memory, knowledge base integration, quotes, and AI document editing to enhance their content creation process. Refly offers both cloud and self-hosting options, making it suitable for individuals, enterprises, and organizations. The tool is designed to facilitate human-AI collaboration and streamline content creation workflows.
n8n
n8n is a workflow automation platform that combines the flexibility of code with the speed of no-code. It offers 400+ integrations, native AI capabilities, and a fair-code license, empowering users to create powerful automations while maintaining control over data and deployments. With features like code customization, AI agent workflows, self-hosting options, enterprise-ready functionalities, and an active community, n8n provides a comprehensive solution for technical teams seeking efficient workflow automation.
trigger.dev
Trigger.dev is an open source platform and SDK for creating long-running background jobs. It provides features like JavaScript and TypeScript SDK, no timeouts, retries, queues, schedules, observability, React hooks, Realtime API, custom alerts, elastic scaling, and works with existing tech stack. Users can create tasks in their codebase, deploy tasks using the SDK, manage tasks in different environments, and have full visibility of job runs. The platform offers a trace view of every task run for detailed monitoring. Getting started is easy with account creation, project setup, and onboarding instructions. Self-hosting and development guides are available for users interested in contributing or hosting Trigger.dev.
langwatch
LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.
codegate
CodeGate is a local gateway that enhances the safety of AI coding assistants by ensuring AI-generated recommendations adhere to best practices, safeguarding code integrity, and protecting individual privacy. Developed by Stacklok, CodeGate allows users to confidently leverage AI in their development workflow without compromising security or productivity. It works seamlessly with coding assistants, providing real-time security analysis of AI suggestions. CodeGate is designed with privacy at its core, keeping all data on the user's machine and offering complete control over data.
nexent
Nexent is a powerful tool for analyzing and visualizing network traffic data. It provides comprehensive insights into network behavior, helping users to identify patterns, anomalies, and potential security threats. With its user-friendly interface and advanced features, Nexent is suitable for network administrators, cybersecurity professionals, and anyone looking to gain a deeper understanding of their network infrastructure.
ClicShopping
ClicShopping AIโข is an open-source Ecommerce platform powered by Generative AI, designed for B2B, B2C, and B2B-B2C businesses. It offers seamless shopping experiences, advanced AI integration, modular architecture for customization, and responsive design across devices. With features like GPT API integration, RAG-powered Business Intelligence Agent, multi-model AI support, and security compliance, ClicShopping AIโข is a comprehensive solution for online businesses. It also provides internationalization support, performance analytics, server performance optimization, content management, API connections, shipping and payment options, and a marketplace for additional modules and apps.
ClicShopping_V3
ClicShoppingAI is a powerful open-source Ecommerce solution that supports B2B, B2C, and B2B-B2C. Integrated with cutting-edge generative artificial intelligence systems like Gpt and Ollama, it helps merchants increase turnover and competitiveness for free. With AI capabilities, it optimizes inventory, offers personalized recommendations, and provides top-notch customer service. The solution is modular, lightweight, and user-friendly, with a seamless, responsive design for all devices. Installation is easy, empowering ongoing development through community support. Features include GPT API integration, generative AI functionalities, real-time safety stock predictive, WYSIWYG product description creation, image editor management, full SEO optimization, payment and shipping modules, extension system, GDPR compliance, multi-language support, and more.
open-wearables
Open Wearables is an open-source platform that unifies wearable device data from multiple providers and enables AI-powered health insights through natural language automations. It provides a single API for building health applications faster, with embeddable widgets and webhook notifications. Developers can integrate multiple wearable providers, access normalized health data, and build AI-powered insights. The platform simplifies the process of supporting multiple wearables, handling OAuth flows, data mapping, and sync logic, allowing users to focus on product development. Use cases include fitness coaching apps, healthcare platforms, wellness applications, research projects, and personal use.
countly-server
Countly is a privacy-first, AI-ready analytics and customer engagement platform built for organizations that require full data ownership and deployment flexibility. It can be deployed on-premises or in a private cloud, giving complete control over data, infrastructure, compliance, and security. Teams use Countly to understand user behavior across mobile, web, desktop, and connected devices, optimize product and customer experiences in real time, and automate and personalize customer engagement across channels. With flexible data tracking, customizable dashboards, and a modular plugin-based architecture, Countly scales with the product while ensuring long-term autonomy and zero vendor lock-in. Built for privacy, designed for flexibility, and ready for AI-driven innovation.
ChatFAQ
ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.
For similar tasks
LLMstudio
LLMstudio by TensorOps is a platform that offers prompt engineering tools for accessing models from providers like OpenAI, VertexAI, and Bedrock. It provides features such as Python Client Gateway, Prompt Editing UI, History Management, and Context Limit Adaptability. Users can track past runs, log costs and latency, and export history to CSV. The tool also supports automatic switching to larger-context models when needed. Coming soon features include side-by-side comparison of LLMs, automated testing, API key administration, project organization, and resilience against rate limits. LLMstudio aims to streamline prompt engineering, provide execution history tracking, and enable effortless data export, offering an evolving environment for teams to experiment with advanced language models.
kaizen
Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.
flux-fine-tuner
This is a Cog training model that creates LoRA-based fine-tunes for the FLUX.1 family of image generation models. It includes features such as automatic image captioning during training, image generation using LoRA, uploading fine-tuned weights to Hugging Face, automated test suite for continuous deployment, and Weights and biases integration. The tool is designed for users to fine-tune Flux models on Replicate for image generation tasks.
shortest
Shortest is an AI-powered natural language end-to-end testing framework built on Playwright. It provides a seamless testing experience by allowing users to write tests in natural language and execute them using Anthropic Claude API. The framework also offers GitHub integration with 2FA support, making it suitable for testing web applications with complex authentication flows. Shortest simplifies the testing process by enabling users to run tests locally or in CI/CD pipelines, ensuring the reliability and efficiency of web applications.
lmstudio-python
LM Studio Python SDK provides a convenient API for interacting with LM Studio instance, including text completion and chat response functionalities. The SDK allows users to manage websocket connections and chat history easily. It also offers tools for code consistency checks, automated testing, and expanding the API.
mastering-github-copilot-for-dotnet-csharp-developers
Enhance coding efficiency with expert-led GitHub Copilot course for C#/.NET developers. Learn to integrate AI-powered coding assistance, automate testing, and boost collaboration using Visual Studio Code and Copilot Chat. From autocompletion to unit testing, cover essential techniques for cleaner, faster, smarter code.
agentql
AgentQL is a suite of tools for extracting data and automating workflows on live web sites featuring an AI-powered query language, Python and JavaScript SDKs, a browser-based debugger, and a REST API endpoint. It uses natural language queries to pinpoint data and elements on any web page, including authenticated and dynamically generated content. Users can define structured data output and apply transforms within queries. AgentQL's natural language selectors find elements intuitively based on the content of the web page and work across similar web sites, self-healing as UI changes over time.
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
kaito
Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.
ai-on-gke
This repository contains assets related to AI/ML workloads on Google Kubernetes Engine (GKE). Run optimized AI/ML workloads with Google Kubernetes Engine (GKE) platform orchestration capabilities. A robust AI/ML platform considers the following layers: Infrastructure orchestration that support GPUs and TPUs for training and serving workloads at scale Flexible integration with distributed computing and data processing frameworks Support for multiple teams on the same infrastructure to maximize utilization of resources
tidb
TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
nvidia_gpu_exporter
Nvidia GPU exporter for prometheus, using `nvidia-smi` binary to gather metrics.
tracecat
Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.
openinference
OpenInference is a set of conventions and plugins that complement OpenTelemetry to enable tracing of AI applications. It provides a way to capture and analyze the performance and behavior of AI models, including their interactions with other components of the application. OpenInference is designed to be language-agnostic and can be used with any OpenTelemetry-compatible backend. It includes a set of instrumentations for popular machine learning SDKs and frameworks, making it easy to add tracing to your AI applications.
BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students
kong
Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.
