Best AI tools for< Solve Coding Issues >

Interview Solver is a desktop application that acts as your copilot during coding interviews, providing instant solutions to LeetCode problems and system design questions. It features screengrabbing capabilities, one-shot solutions, query selected text functionality, global hotkeys, and syntax highlighting for all major languages. Interview Solver is designed to give you an AI advantage during live interviews, helping you land your dream job.

Interview Monkey is an AI tool designed to help software engineering candidates ace technical interviews. It offers real-time problem-solving capabilities for coding and system design questions, supporting over 10 coding languages. The tool operates discreetly during screenshare sessions, provides solutions without typing, and is tailored for various interview types. Interview Monkey aims to boost candidates' confidence, increase hiring chances, and upgrade their roles and salaries in the competitive job market.

Leetcode Wizard is a desktop application designed to assist users in coding interviews by providing solutions for any Leetcode problem, known or unknown. It aims to help users achieve success in coding interviews, particularly at top tech companies like FAANG. The application uses AI to analyze coding problems, suggest algorithms, generate code output, and provide a complexity analysis. Leetcode Wizard is built with a privacy-first mindset, ensuring undetectable operation during coding interviews.

StudyWithGpt.com is a GPT-powered full-stack learning hub that provides personalized AI tutorials for various tech stacks including Java, PHP, Golang, Python, front-end, back-end, DevOps, and microservices. The AI Full-Stack Mentor offers tailored tutorials based on the user's learning objectives, breaking down knowledge points and providing 24/7 assistance. Users can ask questions, receive tutorial outlines, and get help with tough problems from the AI tutor.

SpellBox is a versatile AI coding assistant that helps developers of all levels write code faster and more efficiently. With SpellBox, you can say goodbye to hours of frustrating coding and hello to quick, easy solutions. SpellBox creates the code you need from simple prompts, so you can solve your toughest programming problems in seconds.

The website features a variety of AI tools and applications, including GPTs, AI tutors, code assistants, diagram creators, and more. Users can explore and discover top GPTs, get assistance in programming, design, finance, and even fortune-telling. The platform offers a range of AI-powered solutions for different tasks and industries, aiming to enhance productivity and creativity through advanced AI technologies.

Robi is an AI-powered WhatsApp chatbot that offers a range of services, including generating images, writing text, translating languages, and assisting with math, code, and spreadsheets. It is designed to be user-friendly and accessible through WhatsApp, without the need for any app downloads.

Machinet is an AI Agent designed for full-stack software developers. It serves as an AI-based IDE that assists developers in various tasks, such as code generation, terminal access, front-end debugging, architecture suggestions, refactoring, and mentoring. The tool aims to enhance productivity and streamline the development workflow by providing intelligent assistance and support throughout the coding process. Machinet prioritizes security and privacy, ensuring that user data is encrypted, secure, and never stored for training purposes.

Choosy Chat is an AI-powered chat application that utilizes advanced AI models such as OpenAI GPT-4o and Google Gemini Pro 1.5 to provide intelligent responses and engage in meaningful conversations with users. The application is designed to assist users in various tasks, including answering questions, providing information on recent knowledge, coding assistance, and reasoning puzzles. Choosy Chat aims to enhance user experience through its cutting-edge AI technology and user-friendly interface.

Geleza is an AI-powered educational tool that revolutionizes content creation for students, educators, and content creators. It offers features such as interactive PDF chat, math solutions, custom image creation, text-to-speech, smart coding, OCR, and dynamic question generation. Geleza simplifies the process of generating high-quality educational content effortlessly, saving time and cost.

Qwen is an AI tool that focuses on developing and releasing various language models, including dense models, coding models, mathematical models, and vision language models. The Qwen family offers open-source models with different parameter ranges to cater to various user needs, such as production use, mobile applications, coding assistance, mathematical problem-solving, and visual understanding of images and videos. Qwen aims to enhance intelligence and provide smarter and more knowledgeable models for developers and users.

Khanmigo is an AI-powered teaching assistant and tutor developed by Khan Academy, a trusted education nonprofit. It offers personalized learning experiences for teachers, learners, and parents across various subjects such as math, science, coding, and humanities. Khanmigo aims to revolutionize education by providing on-demand support, engaging content, and ethical design focused on safety and learning. With features tailored for educators and students, Khanmigo simplifies workflows, challenges critical thinking, and guides learners to discover answers independently.

Goless is a browser automation tool that allows users to automate tasks on websites without the need for coding. It offers a range of features such as data scraping, form filling, CAPTCHA solving, and workflow automation. The tool is designed to be easy to use, with a drag-and-drop interface and a marketplace of ready-made workflows. Goless can be used to automate a variety of tasks, including data collection, data entry, website testing, and social media automation.

Reflection 70B is a next-gen open-source LLM powered by Llama 70B, offering groundbreaking self-correction capabilities that outsmart GPT-4. It provides advanced AI-powered conversations, assists with various tasks, and excels in accuracy and reliability. Users can engage in human-like conversations, receive assistance in research, coding, creative writing, and problem-solving, all while benefiting from its innovative self-correction mechanism. Reflection 70B sets new standards in AI performance and is designed to enhance productivity and decision-making across multiple domains.

OpenAI01.net is an AI tool that offers free usage with some limitations. It provides a new series of AI models designed to spend more time thinking before responding, capable of reasoning through complex tasks and solving harder problems in science, coding, and math. Users can ask questions and get answers for free, with the option to select different models based on credits. The tool excels in complex reasoning tasks and has shown impressive performance in various benchmarks.

Odyssey is a native Mac application designed for creating remarkable art, completing tasks efficiently, and automating repetitive tasks using AI and cutting-edge machine-learning models without the need for coding. It serves as an all-purpose tool for creators, students, educators, artists, marketers, photographers, AI hobbyists, developers, interior designers, and data analysts. Odyssey offers features like image generation and processing, stable diffusion models, controlNet support, super-resolution upscaling, background removal, image transitions, large language models, math equations, automation and batch workflows, private and secure processing, custom workflows, and more. It is a versatile tool that simplifies various tasks across different fields.

PulsR is an AI tool that offers tailor-made AI and software solutions to propel enterprises into the future. It provides state-of-the-art services such as image generation, writing assistance, Excel support, data analysis, coding assistance, and more. PulsR enables businesses to innovate, elevate, and thrive by leveraging the power of AI to solve problems and streamline operations.

SendPulse offers AI chatbots for messengers that can provide automated responses and help users solve a wide range of tasks. These chatbots are powered by GPT-3 technology from OpenAI, which allows them to generate text and code, and simulate human managers. You can use these chatbots in Telegram, Facebook Messenger, Instagram, and WhatsApp. They can be configured to pause when a manager joins the chat, and you can provide instructions for the AI operation by adding plain text. No coding skills are required.

Tune AI is an enterprise Gen AI stack that offers custom models to build competitive advantage. It provides a range of features such as accelerating coding, content creation, indexing patent documents, data audit, automatic speech recognition, and more. The application leverages generative AI to help users solve real-world problems and create custom models on top of industry-leading open source models. With enterprise-grade security and flexible infrastructure, Tune AI caters to developers and enterprises looking to harness the power of AI.

Unfetch is an online IDE that enables users to generate, deploy, and run AI agents to automate various tasks. It combines coding capabilities with an online deployment platform, making it easy to create AI agents. Unfetch agents are designed specifically for AI tasks and are compatible with tools like Open AI GPT Store and Langchain. Users can build and deploy AI agents to solve a wide range of tasks efficiently.

AI Gallery is a showcase site built using React and Nextjs for static site generation, featuring interactive visualizations of classic algorithms, classic games implementation, and various interesting widgets. The project utilizes AI assistance from Claude 3.5 and GPT-4 to create components and enhance the development process. It aims to continually add more components with AI assistance, providing a platform for contributors to leverage AI in frontend development.

Llama-github is a powerful tool that helps retrieve relevant code snippets, issues, and repository information from GitHub based on queries. It empowers AI agents and developers to solve coding tasks efficiently. With features like intelligent GitHub retrieval, repository pool caching, LLM-powered question analysis, and comprehensive context generation, llama-github excels at providing valuable knowledge context for development needs. It supports asynchronous processing, flexible LLM integration, robust authentication options, and logging/error handling for smooth operations and troubleshooting. The vision is to seamlessly integrate with GitHub for AI-driven development solutions, while the roadmap focuses on empowering LLMs to automatically resolve complex coding tasks.

Pieces for Developers is a closed-source Obsidian plugin designed to revolutionize coding workflows by incorporating key capabilities and favorite features directly into the Obsidian environment. The plugin, Pieces Copilot for Obsidian, enhances coding and problem-solving experiences by providing insights on code snippets, generating samples, and facilitating navigation through PRs. Users can capture, manage, share, and discover code snippets and developer materials with ease, bringing efficiency and organization to their coding experience.

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)

AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

FinVeda is a dynamic financial literacy app that aims to solve the problem of low financial literacy rates in India by providing a platform for financial education. It features an AI chatbot, finance blogs, market trends analysis, SIP calculator, and finance quiz to help users learn finance with finesse. The app is free and open-source, licensed under the GNU General Public License v3.0. FinVeda was developed at IIT Jammu's Udyamitsav'24 Hackathon, where it won first place in the GenAI track and third place overall.

Devon is an open-source pair programmer tool designed to facilitate collaborative coding sessions. It provides features such as multi-file editing, codebase exploration, test writing, bug fixing, and architecture exploration. The tool supports Anthropic, OpenAI, and Groq APIs, with plans to add more models in the future. Devon is community-driven, with ongoing development goals including multi-model support, plugin system for tool builders, self-hostable Electron app, and setting SOTA on SWE-bench Lite. Users can contribute to the project by developing core functionality, conducting research on agent performance, providing feedback, and testing the tool.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: * Benchmarks of equation solver implementations * Speed and robustness comparisons of methods for parameter estimation / inverse problems * Training universal differential equations (and subsets like neural ODEs) * Training of physics-informed neural networks (PINNs) * Surrogate comparisons, including radial basis functions, neural operators (DeepONets, Fourier Neural Operators), and more The SciML Bench suite is made to be a comprehensive open source benchmark from the ground up, covering the methods of computational science and scientific computing all the way to AI for science.

LiveBench is a benchmark tool designed for Language Model Models (LLMs) with a focus on limiting contamination through monthly new questions based on recent datasets, arXiv papers, news articles, and IMDb movie synopses. It provides verifiable, objective ground-truth answers for accurate scoring without an LLM judge. The tool offers 18 diverse tasks across 6 categories and promises to release more challenging tasks over time. LiveBench is built on FastChat's llm_judge module and incorporates code from LiveCodeBench and IFEval.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

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.

WrenAI is a data assistant tool that helps users get results and insights faster by asking questions in natural language, without writing SQL. It leverages Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) technology to enhance comprehension of internal data. Key benefits include fast onboarding, secure design, and open-source availability. WrenAI consists of three core services: Wren UI (intuitive user interface), Wren AI Service (processes queries using a vector database), and Wren Engine (platform backbone). It is currently in alpha version, with new releases planned biweekly.

Meta Trader 5 and MQL5 language expert, here to solve programming problems and answer questions.

Solving error messages with clear explanations in multiple languages

Orc-themed coding assistance with fantasy flair

Skilled and witty dev, adept in web frameworks and coding fun.

Analogy-based coding tutor

A Python tutor creating stepwise coding challenges.

Interactive coding teacher for Tamil speakers, starting with basics to advanced.

Unleash your coding mastery with 'CodeCraft.' Your epic journey to programming greatness begins here!

A Laravel expert providing coding advice and solutions.

Get help from an expert in C++ coding, trained on hundreds of the most difficult C++ challenges. Start with a quest! ⬇🧑‍💻 (V1.5)

正式的高级编程专家，提供直接的代码解决方案。

A C++ expert offering detailed guidance and explanations

Effective DS & Algorithms coach (type "help" to start). "May the Forge be with you! 🚀"

Your algorithm study pal!

Expert at simplifying and teaching DSA

競技プログラミングコーチ。

Assistant for all data structures and algorithms related questions

Friendly guide for unique daily Swift challenges, hints on request.

代码大师提供详细的技术解决方案

Engenheiro de software perspicaz e motivacional para auxílio em código.