Best AI tools for< Unit Test Generation >

Celp is a contextually aware AI-driven unit test generation tool designed for Typescript Node.js projects. It intelligently parses and deeply understands your code, saving you time and ensuring code stability. It uses an agentic design pattern to build context through parsing with Abstract Syntax Trees and intermediary AI prompting. Celp focuses on essential context, formulates detailed plans, and automatically runs and resolves tests. It generates unit tests from selection, reuses existing code, and learns as you use it.

Keploy is an open-source AI-powered API, integration, and unit testing agent designed for developers. It offers a unified testing platform that uses AI to write and validate tests, maximizing coverage and minimizing effort. With features like automated test generation, record-and-replay for integration tests, and API testing automation, Keploy aims to streamline the testing process for developers. The platform also provides GitHub PR unit test agents, centralized reporting dashboards, and smarter test deduplication to enhance testing efficiency and effectiveness.

Supertest is an AI copilot designed for software testing, aimed at revolutionizing the way unit tests are written. By integrating with VS Code, Supertest allows users to create unit tests in seconds with just one click. The tool automates various day-to-day QA engineering tasks using cutting-edge AI technology, saving users time and effort in the testing process. With different pricing plans available, Supertest caters to a wide range of users, from individual developers to large development teams.

Zencoder is an intuitive AI coding agent designed to assist developers in coding tasks by leveraging advanced AI workflows and intelligent systems. It offers features like Repo Grokking for deep code insights, AI Agents for streamlining development processes, and capabilities such as code generation, chat assistance, code completion, and more. Zencoder aims to enhance software development efficiency, code quality, and project alignment by integrating seamlessly into developers' workflows.

Refraction is an AI-powered code generation tool designed to help developers learn, improve, and generate code effortlessly. It offers a wide range of features such as bug detection, code conversion, function creation, CSP generation, CSS style conversion, debug statement addition, diagram generation, documentation creation, code explanation, code improvement, concept learning, CI/CD pipeline creation, SQL query generation, code refactoring, regex generation, style checking, type addition, and unit test generation. With support for 56 programming languages, Refraction is a versatile tool trusted by innovative companies worldwide to streamline software development processes using the magic of AI.

CodeComplete is an AI-powered coding assistant designed specifically for enterprise needs. It is efficient, reliable, and equipped with cutting-edge technology to improve developer productivity. CodeComplete offers a comprehensive suite of coding tools to improve end-to-end developer workflow, including code generation, code chat, automated unit test generation, automated documentation, and refactoring & migrations.

Code Genius is an AI code generator designed to enhance developers' coding experience by offering real-time code analysis, intelligent suggestions, and code improvements. It can generate unit tests, provide clear code documentation, and streamline workflow. The tool aims to optimize code, save time, and improve efficiency for developers worldwide.

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.

CodeAI is an advanced AI tool designed to optimize the development process for coders of all levels. It offers cutting-edge AI capabilities to enhance coding efficiency, provide real-time feedback, automate tasks like generating commit messages and updating changelogs, and boost productivity. CodeAI supports multiple programming languages and is suitable for individual developers, small teams, and professionals working on various projects.

Tusk is an AI-powered tool designed to prevent regressions and increase test coverage by generating unit and integration tests with codebase context. It reads codebase and documentation to suggest test cases, helping engineers catch edge cases that may be missed. Tusk seamlessly integrates into GitHub and CI/CD pipelines, offering features like mock services, non-blocking checks, user-centric interface design, personalization, integration with third-party APIs, and scalable architecture for high performance.

Safurai is an AI-powered coding assistant that helps developers write code faster, safer, and better. It offers a range of features, including a textbox for asking questions and getting code suggestions, shortcuts for code optimization and unit testing, the ability to train the assistant on specific projects, and a natural language search for finding code. Safurai is compatible with various IDEs, including Visual Studio Code, IntelliJ, and PyCharm.

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.

DeepUnit is a software tool designed to facilitate automated unit testing for code. By using DeepUnit, developers can ensure the quality and reliability of their code by automatically running tests to identify bugs and errors. The tool is user-friendly and integrates seamlessly with popular development environments like NPM and VS Code.

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.

Smaty.xyz is a comprehensive platform that provides a suite of tools for code generation and security auditing. With Smaty.xyz, developers can quickly and easily generate high-quality code in multiple programming languages, ensuring consistency and reducing development time. Additionally, Smaty.xyz offers robust security auditing capabilities, enabling developers to identify and address vulnerabilities in their code, mitigating risks and enhancing the overall security of their applications.

Refraction is a code generation tool that uses AI to help developers write better code. It can be used to generate unit tests, documentation, refactor code, and more. Refraction is designed for developers of all levels and can be used with a variety of programming languages and frameworks.

Monsha is an AI tool designed for teachers to assist with curriculum planning, resource creation, and differentiation. It serves as an all-in-one hub for teachers, offering features such as lesson planning, resource generation, and assessment creation. Monsha aims to simplify the teaching workflow by leveraging advanced AI models to automate tasks and provide educators with ready-to-use teaching materials. The platform allows teachers to customize, adapt, and export resources in various formats, making it a valuable tool for educators worldwide.

Education Copilot is an AI-powered tool that helps teachers save time on lesson planning and preparation. With Education Copilot, teachers can generate lesson plans, educational handouts, student reports, project outlines, and more in seconds. Education Copilot also provides teachers with access to a library of over 10 tools, including an AI lesson planner, an educational handout generator, and a writing prompt generator.

Variational AI is a company that uses generative AI to discover novel drug-like small molecules with optimized properties for defined targets. Their platform, Enki™, is the first commercially accessible foundation model for small molecules. It is designed to make generating novel molecule structures easy, with no data required. Users simply define their target product profile (TPP) and Enki does the rest. Enki is an ensemble of generative algorithms trained on decades worth of experimental data with proven results. The company was founded in September 2019 and is based in Vancouver, BC, Canada.

HelloData is an AI-powered multifamily market analysis platform that automates market surveys, unit-level rent analysis, concessions monitoring, and development feasibility reports. It provides financial analysis tools to underwrite multifamily deals quickly and accurately. With custom query builders and Proptech APIs, users can analyze and download market data in bulk. HelloData is used by over 15,000 multifamily professionals to save time on market research and deal analysis, offering real-time property data and insights for operators, developers, investors, brokers, and Proptech companies.

CodiumAI Cover Agent is a tool designed to help increase code coverage by automatically generating qualified tests to enhance existing test suites. It utilizes Generative AI to streamline development workflows and is part of a suite of utilities aimed at automating the creation of unit tests for software projects. The system includes components like Test Runner, Coverage Parser, Prompt Builder, and AI Caller to simplify and expedite the testing process, ensuring high-quality software development. Cover Agent can be run via a terminal and is planned to be integrated into popular CI platforms. The tool outputs debug files locally, such as generated_prompt.md, run.log, and test_results.html, providing detailed information on generated tests and their status. It supports multiple LLMs and allows users to specify the model to use for test generation.

Pythagora is an automated testing tool designed to generate unit tests using GPT-4. By running a single command, users can create tests for specific functions in their codebase. The tool leverages AST parsing to identify related functions and sends them to the Pythagora server for test generation. Pythagora primarily focuses on JavaScript code and supports Jest testing framework. Users can expand existing tests, increase code coverage, and find bugs efficiently. It is recommended to review the generated tests before committing them to the repository. Pythagora does not store user code on its servers but sends it to GPT and OpenAI for test generation.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

Mutahunter is an open-source language-agnostic mutation testing tool maintained by CodeIntegrity. It leverages LLM models to inject context-aware faults into codebase, ensuring comprehensive testing. The tool aims to empower companies and developers to enhance test suites and improve software quality by verifying the effectiveness of test cases through creating mutants in the code and checking if the test cases can catch these changes. Mutahunter provides detailed reports on mutation coverage, killed mutants, and survived mutants, enabling users to identify potential weaknesses in their test suites.

AutoDev is an AI-powered coding wizard that supports multiple languages, including Java, Kotlin, JavaScript/TypeScript, Rust, Python, Golang, C/C++/OC, and more. It offers a range of features, including auto development mode, copilot mode, chat with AI, customization options, SDLC support, custom AI agent integration, and language features such as language support, extensions, and a DevIns language for AI agent development. AutoDev is designed to assist developers with tasks such as auto code generation, bug detection, code explanation, exception tracing, commit message generation, code review content generation, smart refactoring, Dockerfile generation, CI/CD config file generation, and custom shell/command generation. It also provides a built-in LLM fine-tune model and supports UnitEval for LLM result evaluation and UnitGen for code-LLM fine-tune data generation.

A collection of AI-powered prompts designed to streamline software development workflows. The library contains prompts at various stages of development, with structured sequences of connected prompts, project initialization support, development assistance, and documentation generation. It aims to provide consistent guidance across different development phases, promote systematic development processes, and enable progress tracking and validation.

Awesome AI-Powered Developer Tools is a curated list of AI-powered developer tools that leverage AI to assist developers in tasks such as code completion, refactoring, debugging, documentation, and more. The repository includes a wide range of tools, from IDEs and Git clients to assistants, agents, app generators, UI generators, snippet generators, documentation tools, code generation tools, agent platforms, OpenAI plugins, search tools, and testing tools. These tools are designed to enhance developer productivity and streamline various development tasks by integrating AI capabilities.

LLM4EDA is a repository dedicated to showcasing the emerging progress in utilizing Large Language Models for Electronic Design Automation. The repository includes resources, papers, and tools that leverage LLMs to solve problems in EDA. It covers a wide range of applications such as knowledge acquisition, code generation, code analysis, verification, and large circuit models. The goal is to provide a comprehensive understanding of how LLMs can revolutionize the EDA industry by offering innovative solutions and new interaction paradigms.

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

LangGraph.js is a library for building stateful, multi-actor applications with LLMs, offering benefits such as cycles, controllability, and persistence. It allows defining flows involving cycles, providing fine-grained control over application flow and state. Inspired by Pregel and Apache Beam, it includes features like loops, persistence, human-in-the-loop workflows, and streaming support. LangGraph integrates seamlessly with LangChain.js and LangSmith but can be used independently.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

Codellm-devkit (CLDK) is a Python library that serves as a multilingual program analysis framework bridging traditional static analysis tools and Large Language Models (LLMs) specialized for code (CodeLLMs). It simplifies the process of analyzing codebases across multiple programming languages, enabling the extraction of meaningful insights and facilitating LLM-based code analysis. The library provides a unified interface for integrating outputs from various analysis tools and preparing them for effective use by CodeLLMs. Codellm-devkit aims to enable the development and experimentation of robust analysis pipelines that combine traditional program analysis tools and CodeLLMs, reducing friction in multi-language code analysis and ensuring compatibility across different tools and LLM platforms. It is designed to seamlessly integrate with popular analysis tools like WALA, Tree-sitter, LLVM, and CodeQL, acting as a crucial intermediary layer for efficient communication between these tools and CodeLLMs. The project is continuously evolving to include new tools and frameworks, maintaining its versatility for code analysis and LLM integration.

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.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

MultiPL-E is a system for translating unit test-driven neural code generation benchmarks to new languages. It is part of the BigCode Code Generation LM Harness and allows for evaluating Code LLMs using various benchmarks. The tool supports multiple versions with improvements and new language additions, providing a scalable and polyglot approach to benchmarking neural code generation. Users can access a tutorial for direct usage and explore the dataset of translated prompts on the Hugging Face Hub.

TestSpark is a plugin for generating unit tests that integrates AI-based test generation tools. It supports LLM-based test generation using OpenAI, HuggingFace, and JetBrains internal AI Assistant platform, as well as local search-based test generation using EvoSuite. Users can configure test generation settings, interact with test cases, view coverage statistics, and integrate tests into projects. The plugin is designed for experimental use to augment existing test suites, not replace manual test writing.

Micro Agent is an AI tool designed to write and fix code for users by generating code that passes specified tests or matches design screenshots. It aims to streamline the code generation process by leveraging AI capabilities to iterate and improve code until desired outcomes are achieved. The tool focuses on test-driven development and provides interactive features for user feedback. Micro Agent is not intended to be a comprehensive development tool but rather a specialized agent for code generation and iteration.

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.

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Java testing consultant specializing in Mockito, based on the book Mockito Made Clear and related blog posts by Ken Kousen.

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Very experienced senior node.js developer helps me to write my task with good practises.