Best AI tools for< Fix Errors In Code >

Wand is an AI-powered tool that helps you find and fix errors in your code. It uses machine learning to identify potential problems and provides suggestions for how to resolve them. Wand can be used with a variety of programming languages, including Python, Java, JavaScript, and C++.

ProMind AI is an AI-powered tool that helps you generate text, code, and other content. It can be used for a variety of tasks, including writing tweets, creating blog posts, and generating code snippets. ProMind AI is easy to use and can help you save time and effort on your writing projects.

Kropply is an AI-powered debugging tool that helps developers fix logic, package, and unit-level bugs in their codebase once they run the code. It integrates with VSCode to provide real-time insights and error correction, streamlining the debugging process and making coding more efficient.

CodeSpell is an AI-powered code completion tool designed to streamline the software development life cycle (SDLC). It assists developers in generating code, documenting it, fixing errors, building APIs, automating tests, and setting up infrastructure directly within their integrated development environment (IDE). CodeSpell's unique feature, Design Studio, automates project setup by generating scaffolding, APIs, and infrastructure scripts tailored to the user's stack, reducing manual coding effort and accelerating development. The tool is compatible with popular IDEs and supports code generation in any language. CodeSpell aims to transition the software industry from AI-assisted code generation to an AI-driven landscape.

SourceAI is an AI-powered code generator that allows users to generate code in any programming language. It is easy to use, even for non-developers, and has a clear and intuitive interface. SourceAI is powered by GPT-3 and Codex, the most advanced AI technology available. It can be used to generate code for a variety of tasks, including calculating the factorial of a number, finding the roots of a polynomial, and translating text from one language to another.

Pandalyst is an AI-powered tool that helps users write SQL queries faster and more efficiently. It provides an intuitive interface and uses AI to generate high-performing SQL queries without errors, regardless of the user's skill level. Pandalyst is suitable for both SQL beginners and experienced users and can be accessed through a web browser on any device. It prioritizes data security and does not store any data in its system.

PLEASEDONTCODE is an AI Code Generator specifically designed for Arduino and ESP32 embedded systems. It simplifies the coding process for users, helping them overcome common obstacles in programming such as compilation errors, syntax confusion, and logic issues. By automating code generation, the tool ensures error-free, syntactically correct, and logically sound code with clear comments for easy understanding. It aims to streamline project execution, increase productivity, and accelerate the development of prototype projects.

ChatGPT Deutsch is an intelligent chatbot tool developed by OpenAI that allows users to interact online with the large GPT language model through the OpenAI API function, enabling them to create text in AI language. The tool is equipped with many features to perform various tasks such as language translation, content creation, and programming support in just a few seconds. ChatGPT Deutsch offers unlimited conversation possibilities based on vast and reliable data sources from various information channels. Users of GPT Deutsch can start asking questions immediately without incurring any fees or complicated account registration.

Roboweb is an AI assistant designed for exploratory programming. It integrates OpenAI's ChatGPT into JupyterLab to provide users with an optimal environment for exploratory programming tasks. Users can easily deploy the application on Kubernetes and benefit from features like error detection and code fixing assistance. Roboweb also allows users to sign in, create accounts, and manage their chats efficiently. With a focus on enhancing the programming experience, Roboweb is a valuable tool for developers and programmers.

Kerlig™ is an in-context AI writing assistant designed for macOS users. It integrates with various AI models such as OpenAI, Claude, Gemini Pro, and Groq to provide users with advanced writing assistance. With Kerlig™, users can enhance their writing by fixing spelling and grammar errors, ensuring a polished message before sending it out. The tool is trusted by over 500 people and offers features like in-app review forms and the ability to chat with up to 350 pages of documents using Claude models.

Texthelper is an AI-powered text correction tool designed to assist users in identifying and correcting errors in their written content. Users can input text, which will be analyzed by the tool's AI algorithms to detect and fix mistakes. The tool aims to enhance the overall quality and accuracy of written communication by providing quick and efficient error detection and correction. Texthelper is user-friendly and suitable for individuals, students, professionals, and anyone looking to improve the correctness of their written text.

SQLAI.ai is a powerful SQL multi-tool that utilizes AI to generate, fix, explain, and optimize SQL queries and databases. It empowers users to effortlessly create complex SQL queries using everyday language, optimize queries for better performance, fix syntax errors with ease, and gain a deeper understanding of SQL queries through AI-powered explanations. Additionally, SQLAI.ai enables users to train AI on their database schema, ensuring unparalleled accuracy in AI-generated queries and optimizations.

VerbiAI is an AI-powered SEO content assistant designed for Shopify stores. It helps users effortlessly generate powerful, SEO-optimized content for products, collections, pages, and blog posts in multiple languages. By utilizing OpenAI's gpt-3.5-turbo model, VerbiAI ensures error-free content creation to boost SEO ranking and increase sales. The application offers customizable content generation options and excellent customer support through live chat and email.

SQLAI.ai is a professional SQL multi-tool that leverages AI technology to generate, fix, explain, and optimize SQL queries and databases. It enables users to interact with SQL using everyday language, effortlessly train AI to understand database schemas, and benefit from AI-driven recommendations for query optimization. The platform caters to a wide range of users, from beginners to experts, by simplifying SQL tasks and providing valuable insights for database management. With features like generating SQL data, data analytics, and real-time data insights, SQLAI.ai revolutionizes the way users interact with databases, making SQL tasks simpler, more efficient, and accessible to all.

Text2SQL.AI is an AI-powered SQL query builder that helps users generate optimized SQL queries effortlessly. It supports various AI-powered services, including SQL query building from textual instructions, SQL query explanation to plain English, SQL query error fixation, adding custom database schemas, SQL dialects for various database types, Microsoft Excel and Google Sheets formula generation and explanation, and Regex expression generation and explanation. The tool is designed to improve SQL skills, save time, and assist beginners, data analysts, data scientists, data engineers, and software developers in their work.

Supermaven is a free AI code completion tool designed to help developers write code faster by providing contextual suggestions and code completions. It offers a 1 million token context window, fast and high-quality code suggestions, and compatibility with popular code editors like VS Code, JetBrains IDEs, and Neovim. Supermaven also features a chat interface for developers to interact with AI models like GPT-4 and Claude 3.5 Sonnet, enabling quick code diffs, changes, and conversations. The tool is trusted by engineers for its speed, efficiency, and real-time code assistance.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

HelpMoji is a software tool designed to help users easily fix app problems such as glitchy apps, frozen screens, and stubborn errors. With over 190 million software errors resolved, HelpMoji provides quick and easy solutions to resolve any software issue. The tool features a powerful search engine and diagnostic tools to detect the root cause of errors, along with clear, step-by-step instructions for users to follow. HelpMoji is known for its quick and reliable service, easy-to-follow guidance suitable for all tech levels, and 24/7 availability for assistance. Say goodbye to frustrating app problems with HelpMoji!

The website imgProof is an AI tool designed to automatically proofread images containing text. Users can upload image files to the platform, where the tool will analyze the text for spelling and grammatical errors. imgProof aims to provide a convenient solution for individuals or businesses looking to ensure the accuracy of text within images.

Whybug is an AI tool designed to help developers debug their code by providing explanations for errors. By utilizing a large language model trained on data from StackExchange and other sources, Whybug can predict the causes of errors and suggest fixes. Users can simply paste an error message and receive detailed explanations on how to resolve the issue. The tool aims to streamline the debugging process and improve code quality.

TTS Generation WebUI is a comprehensive tool that provides a user-friendly interface for text-to-speech and voice cloning tasks. It integrates various AI models such as Bark, MusicGen, AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and MAGNeT. The tool offers one-click installers, Google Colab demo, videos for guidance, and extra voices for Bark. Users can generate audio outputs, manage models, caches, and system space for AI projects. The project is open-source and emphasizes ethical and responsible use of AI technology.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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)

Coding-Aider is a plugin for IntelliJ IDEA that seamlessly integrates Aider's AI-powered coding assistance into the IDE. It boosts productivity by offering rapid access for precision code generation and refactoring, with complete control over the context utilized by the LLM. The plugin provides various features such as AI-powered coding assistance, intuitive access through keyboard shortcuts, persistent file management, dual execution modes, Git integration, real-time progress tracking, multi-file support, web crawling, clipboard image support, and various specialized actions. It also supports structured mode and plans for managing complex features, working directory support, summarized output, and the ability to specify additional arguments for Aider commands. Coding-Aider addresses limitations in existing IntelliJ plugins by offering optimized token usage, a feature-rich terminal interface, a wide range of commands, and robust recovery mechanisms with seamless Git integration.

ChatGPT-Arcana is an Emacs package that allows users to interact with ChatGPT directly from Emacs, enabling tasks such as chatting with GPT, operating on code or text, generating eshell commands from natural language, fixing errors, writing commit messages, and creating agents for web search and code evaluation. The package requires an API key from OpenAI's GPT-3 model and offers various interactive functions for enhancing productivity within Emacs.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=