Best AI tools for< Code Quality Assurance >

Codiga is a static code analysis tool that helps developers write clean, safe, and secure code. It works in real-time in your IDE and CI/CD pipelines, and it can be customized to meet your specific needs. Codiga supports a wide range of languages and frameworks, and it integrates with popular tools like GitHub, GitLab, and Bitbucket.

AI Code Reviewer is a tool that uses artificial intelligence to review code. It can help you find bugs, improve code quality, and enforce coding standards.

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.

Korbit is an AI-powered code review tool that helps developers write better code, faster. It integrates directly into your GitHub PR workflow and provides instant feedback on your code, identifying issues and providing actionable recommendations. Korbit also provides valuable insights into code quality, project status, and developer performance, helping you to boost your productivity and elevate your code.

DeepUnit is a software tool designed to facilitate automated unit testing for developers. By utilizing DeepUnit, developers can ensure the quality and reliability of their code by automatically running tests to identify bugs and errors. The tool streamlines the testing process, saving time and effort for developers while improving the overall performance of their software projects. DeepUnit offers a user-friendly interface and seamless integration with popular development environments like NPM and VS Code.

CodeRabbit is an innovative AI code review platform that streamlines and enhances the development process. By automating reviews, it dramatically improves code quality while saving valuable time for developers. The system offers detailed, line-by-line analysis, providing actionable insights and suggestions to optimize code efficiency and reliability. Trusted by hundreds of organizations and thousands of developers daily, CodeRabbit has processed millions of pull requests. Backed by CRV, CodeRabbit continues to revolutionize the landscape of AI-assisted software development.

Metabob is an AI-powered code review tool that helps developers detect, explain, and fix coding problems. It utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. Metabob's AI is trained on millions of bug fixes performed by experienced developers, enabling it to detect complex problems that span across codebases and automatically generate fixes for them. It integrates with popular code hosting platforms such as GitHub, Bitbucket, Gitlab, and VS Code, and supports various programming languages including Python, Javascript, Typescript, Java, C++, and C.

Docify AI is an AI-assisted code comment and documentation tool designed to help software developers improve code quality, save time, and increase productivity. It offers features such as automated documentation generation, comment translation, inline comments, and code coverage analysis. The tool supports multiple programming languages and provides a user-friendly interface for efficient code documentation. Docify AI is built on proprietary AI models, ensuring data privacy and high performance for professional developers.

Zevo.ai is an AI-powered code visualization tool designed to accelerate code comprehension, deployment, and observation. It offers dynamic code analysis, contextual code understanding, and automatic code mapping to help developers streamline shipping, refactoring, and onboarding processes for both legacy and existing applications. By leveraging AI models, Zevo.ai provides deeper insights into code, logs, and cloud infrastructure, enabling developers to gain a better understanding of their codebase.

Wasps is an AI code review tool that integrates seamlessly into VSCode, providing developers with a fast and efficient way to understand their codebase, detect and fix code issues using AI and Gitsecure. With Wasps, developers can identify and fix buggy & vulnerable code in minutes, receive clear and actionable feedback driven by deep analysis, and get recommendations for potential issues and improvements within their codebase. The tool allows developers to keep coding as usual while Wasps analyzes their code for them, making it easier to maintain code quality and keep bugs out of their code.

Pixeebot is an automated product security engineer that helps developers fix vulnerabilities, harden code, squash bugs, and improve code quality. It integrates with your existing workflow and can be used locally via CLI or through the GitHub app. Pixeebot is powered by the open source Codemodder framework, which allows you to build your own custom codemods.

What The Diff is an AI-powered code review assistant that helps you to write pull request descriptions, send out summarized notifications, and refactor minor issues during the review. It uses natural language processing to understand the changes in your code and generate clear and concise descriptions. What The Diff also provides rich summary notifications that are easy for non-technical stakeholders to understand, and it can generate beautiful changelogs that you can share with your team or the public.

GiteAI is an AI-powered tool designed to enhance collaboration and productivity for software development teams. It leverages machine learning algorithms to automate code reviews, identify bugs, and suggest improvements in real-time. With GiteAI, developers can streamline their workflow, reduce manual efforts, and ensure code quality. The platform integrates seamlessly with popular version control systems like GitHub, GitLab, and Bitbucket, providing actionable insights and analytics to drive continuous improvement.

Patched is an open-source workflow automation framework designed for development teams to build AI workflows that automate code reviews, documentation, and patches. It offers ready-to-go patchflows or the ability to create custom ones to accelerate mundane development tasks. Patched integrates seamlessly with popular platforms like Gitlab, GitHub, Jira, and more, allowing users to improve code quality, fix bugs, and create tickets efficiently. The application is privacy-focused, allowing users to deploy it within their own infrastructure for complete privacy. Patched is free and open-source, offering customization options via code or a no-code builder.

DryRun Security is an AI-powered security tool designed to provide developers with security context and analysis for code changes in real-time. It offers a suite of analyzers to identify risky code changes, such as SQL injection, command injection, and sensitive file modifications. The tool integrates seamlessly with GitHub repositories, offering developers a security buddy to enhance code security without slowing down the development process. DryRun Security aims to improve developer productivity, protect code repositories, and provide security context before code merges.

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.

GitStart is an AI-powered platform that offers Elastic Engineering Capacity by assigning tickets and delivering high-quality production code. It leverages AI agents and a global developer community to increase engineering capacity without hiring more staff. GitStart is supported by top tech leaders and provides solutions for bugs, tech debt, frontend and backend development. The platform aims to empower developers, create economic opportunities, and grow the world's future software talent.

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.

Code to Flowchart is an AI-powered tool that helps users visualize and understand program logic instantly. It allows users to convert code into interactive flowcharts with the help of AI analysis. The tool supports all major programming languages, identifies code paths and logic flows, and offers multiple visualization options like flowcharts, sequence diagrams, and class diagrams. Users can export diagrams in various formats and customize color schemes and themes. Code to Flowchart aims to simplify complex code structures and enhance collaboration among developers.

Carbonate is an AI-driven automated end-to-end testing tool that allows users to create auto-healing browser tests without any coding. It understands the behavior of applications and adapts tests accordingly, mimicking real user interactions. The tool features an intelligent recorder that translates user actions into runnable tests, interactive test playback for real-time debugging, and supports dynamic rendering and shadow DOM. Carbonate aims to simplify the testing process and improve efficiency by leveraging AI technology.

Gemini AI Code Reviewer is a GitHub Action that automatically reviews pull requests using Google's Gemini AI. It analyzes code changes, consults the Gemini model, provides feedback, and delivers review comments directly to pull requests on GitHub. Users need a Gemini API key and can trigger the workflow by commenting '/gemini-review' in the PR. The tool helps improve source code quality by giving suggestions and comments for enhancement.

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)

Digma is a Continuous Feedback platform that provides code-level insights related to performance, errors, and usage during development. It empowers developers to own their code all the way to production, improving code quality and preventing critical issues. Digma integrates with OpenTelemetry traces and metrics to generate insights in the IDE, helping developers analyze code scalability, bottlenecks, errors, and usage patterns.

Momentum is an open-source behavioral auditor for backend code that helps developers generate powerful insights into their codebase. It analyzes code behavior, tests it at every git push, and ensures readiness for production. Momentum understands backend code, visualizes dependencies, identifies behaviors, generates test code, runs code in the local environment, and provides debugging solutions. It aims to improve code quality, streamline testing processes, and enhance developer productivity.

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.

Sourcery is an automated code reviewer tool that provides instant feedback on pull requests, helping to speed up the code review process, improve code quality, and accelerate development velocity. It offers high-level feedback, line-by-line suggestions, and aims to mimic the type of code review one would expect from a colleague. Sourcery can also be used as an IDE coding assistant to understand existing code, add unit tests, optimize code, and improve code quality with instant suggestions. It is free for public repos/open source projects and offers a 14-day trial for private repos.

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.

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.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

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.

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.

AI-Driven Research Assistant is an advanced AI-powered system utilizing specialized agents for data analysis, visualization, and report generation. It integrates LangChain, OpenAI's GPT models, and LangGraph for complex research processes. Key features include hypothesis generation, data processing, web search, code generation, and report writing. The system's unique Note Taker agent maintains project state, reducing overhead and improving context retention. System requirements include Python 3.10+ and Jupyter Notebook environment. Installation involves cloning the repository, setting up a Conda virtual environment, installing dependencies, and configuring environment variables. Usage instructions include setting data, running Jupyter Notebook, customizing research tasks, and viewing results. Main components include agents for hypothesis generation, process supervision, visualization, code writing, search, report writing, quality review, and note-taking. Workflow involves hypothesis generation, processing, quality review, and revision. Customization is possible by modifying agent creation and workflow definition. Current issues include OpenAI errors, NoteTaker efficiency, runtime optimization, and refiner improvement. Contributions via pull requests are welcome under the MIT License.

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.

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.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

Auto Playwright is a tool that allows users to run Playwright tests using AI. It eliminates the need for selectors by determining actions at runtime based on plain-text instructions. Users can automate complex scenarios, write tests concurrently with or before functionality development, and benefit from rapid test creation. The tool supports various Playwright actions and offers additional options for debugging and customization. It uses HTML sanitization to reduce costs and improve text quality when interacting with the OpenAI API.

Assists with code review, pull requests, and writing tests.

Delivers AST analysis with type, value, and children.

lag enhetstester som er complient med knowlegdebase

I test and optimize your code snippets.

I check code samples for common mistakes and accuracy

code security expert to do code review

Friendly JSON, HTML, XML validator with detailed advice.

Assistente de codificação com respostas completas e explicações claras.

Code-formatting and optimization assistant.

Analyzes code for accessibility issues & provides recommendations

Software code tester and debugger

Streamline Your Code, Automate with Ease - Expert Guidance at Every Step!

Advises on QA tests based on recent game code changes, including git history. Learn more at regression.gg

Expert in Google Puppeteer & DevTools, provides NodeJS code samples.

Your personal Jenkins assistant and code generator with a focus on responsive, efficient, and scalable automations.

MeepMouse, the advanced computer mouse for developers, displays logs of edits made in a virtual IDE, simulating direct code manipulation.

提供清晰专业的代码解释

Direct, concise engineer with a hint of humor.

Ada Programming Language expert.

A coding assistant specializing in C and C++98, offering guidance and explanations.