Best AI tools for< Write Test Classes >

Symflower is an AI-powered unit test generator for Java applications. It helps developers write and maintain test code with ease, saving time and improving code quality. Symflower works with JUnit 4 and JUnit 5 for Java, Spring, and Spring Boot applications.

DocuWriter.ai is an AI-powered tool that helps developers automate code documentation, testing, and refactoring. It uses natural language processing and machine learning algorithms to generate accurate and consistent documentation, test suites, and optimized code. DocuWriter.ai integrates with popular programming languages and development environments, making it easy for developers to improve the quality and efficiency of their code.

MDN Web Docs is a comprehensive web technology reference for developers, offering detailed information on HTML, CSS, JavaScript, HTTP, Web APIs, Web Extensions, and Accessibility. It provides learning resources, browser compatibility updates, real-time assistance, and support. Users can access a curated learning area, playground to write and test code, HTTP Observatory to scan websites, and a FAQ section. MDN partners with Scrimba for web development learning and emphasizes web sustainability. The platform also features recent contributions, news, and a community forum.

AI Test Kitchen is a website that provides a variety of AI-powered tools for creative professionals. These tools can be used to generate images, music, and text, as well as to explore different creative concepts. The website is designed to be a place where users can experiment with AI and learn how to use it to enhance their creative process.

Write.homes is an AI-powered copywriting tool specifically designed for real estate professionals. It offers a platform where users can generate property listings, client emails, ads, and other real estate content in seconds. With tailored features and access to GPT-4 technology, Write.homes provides exceptional value to its users. The platform also offers a Freemium Plan for users to test its capabilities before upgrading to higher plans. Additionally, users can request new features or templates and receive prompt assistance from the dedicated customer support team.

Virtuoso is an AI-powered, end-to-end functional testing tool for web applications. It uses Natural Language Programming, Machine Learning, and Robotic Process Automation to automate the testing process, making it faster and more efficient. Virtuoso can be used by QA managers, practitioners, and senior executives to improve the quality of their software applications.

Diffblue Cover is an autonomous AI-powered unit test writing tool for Java development teams. It uses next-generation autonomous AI to automate unit testing, freeing up developers to focus on more creative work. Diffblue Cover can write a complete and correct Java unit test every 2 seconds, and it is directly integrated into CI pipelines, unlike AI-powered code suggestions that require developers to check the code for bugs. Diffblue Cover is trusted by the world's leading organizations, including Goldman Sachs, and has been proven to improve quality, lower developer effort, help with code understanding, reduce risk, and increase deployment frequency.

Spur is an AI QA tool that allows users to test websites using natural language, eliminating the need for complex test scripts. It offers reliable automated tests that adapt to UI changes, real-time playback for debugging, and powerful validations. Spur's AI-powered tests reduce manual testing time, improve software testing processes, and ensure the reliability of tests even with site changes. The tool is user-friendly, requires no coding skills, and supports API testing.

Qodo is a quality-first generative AI coding platform that helps developers write, test, and review code within IDE and Git. The platform offers automated code reviews, contextual suggestions, and comprehensive test generation, ensuring robust, reliable software development. Qodo integrates seamlessly to maintain high standards of code quality and integrity throughout the development process.

ILoveMyQA is an AI-powered QA testing service that provides comprehensive, well-documented bug reports. The service is affordable, easy to get started with, and requires no time-zapping chats. ILoveMyQA's team of Rockstar QAs is dedicated to helping businesses find and fix bugs before their customers do, so they can enjoy the results and benefits of having a QA team without the cost, management, and headaches.

Sider is an AI tool that combines ChatGPT Sidebar with GPT-4o, Claude 3, and Gemini 1.5 to provide an all-in-one AI assistant for reading, writing, and chatting on any webpage. It offers features such as chat support with links, images, PDFs, and various GPT models, free usage, and integration with Chrome. Users can benefit from increased productivity, reduced time spent on tasks, and enhanced creativity and knowledge expansion.

CommandDash is a platform that offers unit, widget, and integration testing services specifically designed for Flutter applications. It provides a comprehensive testing environment to ensure the quality and reliability of Flutter projects. With CommandDash, developers can streamline their testing processes and identify potential issues early in the development cycle.

Sider.ai is an AI-powered platform that focuses on security verification for online connections. It ensures a safe browsing experience by reviewing the security of your connection before proceeding. The platform uses advanced algorithms to detect and prevent potential threats, providing users with peace of mind while browsing the internet.

Sider.ai is a web application that focuses on security verification before allowing access to its services. It ensures a secure connection by reviewing the security measures of the user's connection. The platform may prompt users to enable JavaScript and cookies for a seamless experience. Sider.ai employs Cloudflare for performance and security enhancements.

Sider.ai is an AI-powered tool that focuses on verifying human users for security purposes. It ensures a secure connection by reviewing the security of the user's connection before proceeding. The tool requires enabling JavaScript and cookies to continue, providing a seamless and secure user experience. Sider.ai leverages AI technology to efficiently verify human users and prevent unauthorized access, enhancing the overall security of online interactions.

PseudoEditor is a free, fast, and online pseudocode IDE/editor that aims to simplify the process of writing pseudocode. It offers dynamic syntax highlighting, code saving, error highlighting, and a pseudocode compiler feature. The platform allows users to write and debug pseudocode efficiently, with the goal of creating algorithms quickly and easily. PseudoEditor is the first and only pseudocode online editor/IDE available for free, providing a smoother writing environment and faster coding experience.

U-xer is an innovative automation tool developed by Quality Museum Software Testing Services. It is designed to meet a broad range of needs, including Robotic Process Automation (RPA), test automation, and bot development. Crafted with user flexibility in mind, U-xer aims to be a user-friendly solution for your automation requirements! U-xer's unique screen recognition models interpret screens in the same way that humans do. This enables non-technical users to automate simple tasks, while allowing advanced users to tackle more complex tasks with ease. With U-xer, you can automate anything, anywhere, whether it's Web or Desktop. U-xer works seamlessly across all platforms with just a screenshot. Unlike other tools, U-xer interprets screens just like a human does, enabling more natural and accurate automation of a wide range of tasks.

Phrasee is a generative AI platform that helps enterprise marketers create and optimize marketing messages across various channels, including email, SMS, push notifications, web and app, and social media. It uses AI to generate billions of marketing messages tailored to specific audiences and brands, ensuring consistent experiences and maximizing customer engagement. Phrasee's platform provides marketers with tools for testing, optimizing, and personalizing content, enabling them to improve performance, conversions, and ROI.

GPTSidekick is an affordable GPT-4 powered AI assistant that can help you with a variety of tasks, including writing, coding, research, and more. It is easy to use and can be accessed from any device with an internet connection.

Promptitude.io is a platform that allows users to integrate GPT into their apps and workflows. It provides a variety of features to help users manage their prompts, personalize their AI responses, and publish their prompts for use by others. Promptitude.io also offers a library of pre-built prompts that users can use to get started quickly.

Laravel AI Translator is a powerful tool designed to streamline the localization process in Laravel projects. It automates the task of translating strings across multiple languages using advanced AI models like GPT-4 and Claude. The tool supports custom language styles, preserves variables and nested structures, and ensures consistent tone and style across translations. It integrates seamlessly with Laravel projects, making internationalization easier and more efficient. Users can customize translation rules, handle large language files efficiently, and validate translations for accuracy. The tool offers contextual understanding, linguistic precision, variable handling, smart length adaptation, and tone consistency for intelligent translations.

aiomisc is a Python library that provides a collection of utility functions and classes for working with asynchronous I/O in a more intuitive and efficient way. It offers features like worker pools, connection pools, circuit breaker pattern, and retry mechanisms to make asyncio code more robust and easier to maintain. The library simplifies the architecture of software using asynchronous I/O, making it easier for developers to write reliable and scalable asynchronous code.

Sublayer is a model-agnostic Ruby AI Agent framework that provides base classes for building Generators, Actions, Tasks, and Agents to create AI-powered applications in Ruby. It supports various AI models and providers, such as OpenAI, Gemini, and Claude. Generators generate specific outputs, Actions perform operations, Agents are autonomous entities for tasks or monitoring, and Triggers decide when Agents are activated. The framework offers sample Generators and usage examples for building AI applications.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

LMQL is a programming language designed for large language models (LLMs) that offers a unique way of integrating traditional programming with LLM interaction. It allows users to write programs that combine algorithmic logic with LLM calls, enabling model reasoning capabilities within the context of the program. LMQL provides features such as Python syntax integration, rich control-flow options, advanced decoding techniques, powerful constraints via logit masking, runtime optimization, sync and async API support, multi-model compatibility, and extensive applications like JSON decoding and interactive chat interfaces. The tool also offers library integration, flexible tooling, and output streaming options for easy model output handling.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

LLMFlex is a python package designed for developing AI applications with local Large Language Models (LLMs). It provides classes to load LLM models, embedding models, and vector databases to create AI-powered solutions with prompt engineering and RAG techniques. The package supports multiple LLMs with different generation configurations, embedding toolkits, vector databases, chat memories, prompt templates, custom tools, and a chatbot frontend interface. Users can easily create LLMs, load embeddings toolkit, use tools, chat with models in a Streamlit web app, and serve an OpenAI API with a GGUF model. LLMFlex aims to offer a simple interface for developers to work with LLMs and build private AI solutions using local resources.

Lhotse is a Python library designed to make speech and audio data preparation flexible and accessible. It aims to attract a wider community to speech processing tasks by providing a Python-centric design and an expressive command-line interface. Lhotse offers standard data preparation recipes, PyTorch Dataset classes for speech tasks, and efficient data preparation for model training with audio cuts. It supports data augmentation, feature extraction, and feature-space cut mixing. The tool extends Kaldi's data preparation recipes with seamless PyTorch integration, human-readable text manifests, and convenient Python classes.

This project is a c++ version of the AI reasoning library that supports the reasoning of tensorrt models. It provides accelerated deployment cases of deep learning CV popular models and supports dynamic-batch image processing, inference, decode, and NMS. The project has been updated with various models and provides tutorials for model exports. It also includes a producer-consumer inference model for specific tasks. The project directory includes implementations for model inference applications, backend reasoning classes, post-processing, pre-processing, and target detection and tracking. Speed tests have been conducted on various models, and onnx downloads are available for different models.

The 'Generative AI' repository provides a C# library for interacting with Google's Generative AI models, specifically the Gemini models. It allows users to access and integrate the Gemini API into .NET applications, supporting functionalities such as listing available models, generating content, creating tuned models, working with large files, starting chat sessions, and more. The repository also includes helper classes and enums for Gemini API aspects. Authentication methods include API key, OAuth, and various authentication modes for Google AI and Vertex AI. The package offers features for both Google AI Studio and Google Cloud Vertex AI, with detailed instructions on installation, usage, and troubleshooting.

Clippinator is a code assistant tool that helps users develop code autonomously by planning, writing, debugging, and testing projects. It consists of agents based on GPT-4 that work together to assist the user in coding tasks. The main agent, Taskmaster, delegates tasks to specialized subagents like Architect, Writer, Frontender, Editor, QA, and Devops. The tool provides project architecture, tools for file and terminal operations, browser automation with Selenium, linting capabilities, CI integration, and memory management. Users can interact with the tool to provide feedback and guide the coding process, making it a powerful tool when combined with human intervention.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Truss is a tool that simplifies the process of serving AI/ML models in production. It provides a consistent and easy-to-use interface for packaging, testing, and deploying models, regardless of the framework they were created with. Truss also includes a live reload server for fast feedback during development, and a batteries-included model serving environment that eliminates the need for Docker and Kubernetes configuration.

IKBT is a Python-based system for generating closed-form solutions to the manipulator inverse kinematics problem using behavior trees for action selection. Solutions are fully symbolic and are output as LaTex, Python, and C++. The tool automates closed-form kinematics solving by organizing solution algorithms in a behavior tree, incorporating frequently used knowledge, generating a dependency graph of joint variables, and providing features for automatic documentation and code generation. It is implemented in Python with minimal dependencies outside of the standard Python distribution.

Experts.js is a tool that simplifies the creation and deployment of OpenAI's Assistants, allowing users to link them together as Tools to create a Panel of Experts system with expanded memory and attention to detail. It leverages the new Assistants API from OpenAI, which offers advanced features such as referencing attached files & images as knowledge sources, supporting instructions up to 256,000 characters, integrating with 128 tools, and utilizing the Vector Store API for efficient file search. Experts.js introduces Assistants as Tools, enabling the creation of Multi AI Agent Systems where each Tool is an LLM-backed Assistant that can take on specialized roles or fulfill complex tasks.

LakeSoul is a cloud-native Lakehouse framework that supports scalable metadata management, ACID transactions, efficient and flexible upsert operation, schema evolution, and unified streaming & batch processing. It supports multiple computing engines like Spark, Flink, Presto, and PyTorch, and computing modes such as batch, stream, MPP, and AI. LakeSoul scales metadata management and achieves ACID control by using PostgreSQL. It provides features like automatic compaction, table lifecycle maintenance, redundant data cleaning, and permission isolation for metadata.

Crafting full, accurate Apex test classes, with 100% user service.

Test Shaman: Guiding software testing with Grug wisdom and humor, balancing fun with practical advice.

I will provide guidance on testing, verification, and validation for QA roles.

I write tests that make bugs think twice.

Your test-driven coding tutor.

Makes every Sofware Tester an Expert Prompt Engineer

Chat with Software Testing Experts. Ping Jason if you won't want to be an expert or have feedback.

Ensures software reliability through comprehensive manual testing.

GPT security specialist with tailored test scenarios.

I write unit tests for uploaded Dynamics 365 C# code files.

Train to pass the Reverse Turing Test!

Friendly assistant for React app testing, detailed and accessible.

I conduct a Turing test and try to decide if you are an AI

Upload your manuscript introduction. Get 'Reviewer 2' grade feedback in return.😎

I craft tests first, then code, validating new features.

Updated: https://chat.openai.com/g/g-32kHtFC2B-guru

Creates Application Security Test cases in YAML

Expert at crafting engaging questions like Rob Fitzpatrick

Test your wit with RiddleGPT's playful puzzles!

Put your prompt engineering skills to the ultimate test! Embark on a journey to outwit a mythical guardian of ancient secrets. Try to extract the secret passphrase hidden in the system prompt and enter it in chat when you think you have it and claim your glory. Good luck!