Best AI tools for< Guide Coding >

ExplainDev is a platform that allows users to ask and answer technical coding questions. It uses computer vision to retrieve technical context from images or videos. The platform is designed to help developers get the best answers to their technical questions and guide others to theirs.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

PLEASEDONTCODE is an AI Code Generator specifically designed for Arduino and ESP32 embedded systems. It simplifies the coding process for users, automating code generation and providing error-free, syntactically correct, and logically sound code. The platform aims to help freelance programmers and small/medium businesses bring their prototype projects to life efficiently and effectively.

Google Colab Copilot is an AI tool that integrates GitHub Copilot into Google Colab, allowing users to easily access AI-generated code suggestions while working on their projects. By following a simple setup guide, users can enhance their coding experience by leveraging the power of AI to assist with writing code snippets and improving productivity.

Voqal is a natural speech programming assistant designed for software developers. It utilizes advanced technologies like GPT-4o & Gemini 1.5 Flash integration to enable voice-based coding, navigation, execution, debugging, and refactoring. Voqal supports multiple spoken languages and offers a hands-free coding experience, making it ideal for developers looking for a more intuitive way to interact with their IDEs. The platform provides a guide on setting up Voqal, using basic and advanced features, and customizing it to suit individual coding styles. Embrace the future of programming with Voqal!

The Coming Wave is a groundbreaking book by AI entrepreneur Mustafa Suleyman that delves into the technological revolution of the 21st century. It explores the impact of AI on society, the challenges of controlling powerful technologies, and the potential for both innovation and upheaval on a global scale. Through insightful analysis and compelling arguments, the book offers a stark warning and a hopeful guide to navigating the future amidst unprecedented peril and promise.

Glide is an AI-powered no code app builder that helps businesses create custom tools for a faster, more efficient way to work without the need for coding. It allows users to transform time-consuming processes into modern, interactive apps, tailored to their needs in weeks. Glide aims to future-proof businesses by automating tasks and enhancing productivity with a modern mobile experience. The platform has been used by over 100,000 companies to create custom apps, offering custom development without the headaches.

AnyLearn.ai is an AI-powered platform that offers a wide range of courses and guides generated by artificial intelligence. It provides users with the opportunity to learn about various topics in a structured and comprehensive manner. The platform leverages the power of AI to create personalized learning experiences for individuals seeking to enhance their knowledge and skills.

Liner is a free and easy-to-use tool that allows users to train machine learning models without writing any code. It provides a user-friendly interface that guides users through the process of importing data, selecting a model, and training the model. Liner also offers a variety of pre-trained models that can be used for common tasks such as image classification, text classification, and object detection. With Liner, users can quickly and easily create and deploy machine learning applications without the need for specialized knowledge or expertise.

The website is a platform that provides information and resources related to web content. Users can access various articles, guides, and tools to enhance their understanding of web development, design, and digital marketing. The platform aims to assist individuals in improving their online presence and skills through valuable content and practical insights.

Mindset AI is an AI tool that enables users to create AI agents in seconds using simple language. It helps speed up teams' work by allowing the creation of AI agents without the need for coding. Users can write, retrieve information, brainstorm, and more securely using their company's knowledge in a collaborative workspace. Mindset AI offers features such as AI agent builder, integrated knowledge banks, guided conversational search, capabilities for process description, and AI model selector.

EyePop.ai is a hassle-free AI vision partner designed for innovators to easily create and own custom AI-powered vision models tailored to their visual data needs. The platform simplifies building AI-powered vision models through a fast, intuitive, and fully guided process without the need for coding or technical expertise. Users can define their target, upload data, train their model, deploy and detect, and iterate and improve to ensure effective AI solutions. EyePop.ai offers pre-trained model library, self-service training platform, and future-ready solutions to help users innovate faster, offer unique solutions, and make real-time decisions effortlessly.

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.

Guide.AI is a landmark audio guide platform that enables users to create and publish audio guides using advanced AI text-to-speech technology. Users can develop and distribute audio guides in 13 different languages quickly, easily, and for free without the need for audio recordings. The platform offers a user-friendly experience for both guide authors and users, allowing for the creation of high-quality audio guides with automatic translations and no setup fees. Guide.AI aims to make locations more accessible for partially sighted visitors by providing a consistent and engaging audio guide experience.

The website provides information and answers common questions related to custom-built homes. It covers topics such as maximizing room space, neighborhood etiquette, design trends, and construction considerations. The site aims to assist individuals in making informed decisions when planning to build a custom home.

Globe Guide AI is an innovative AI tool that provides personalized travel recommendations based on user preferences and interests. By leveraging advanced machine learning algorithms, the application analyzes vast amounts of travel data to offer tailored suggestions for destinations, activities, accommodations, and more. With a user-friendly interface, Globe Guide AI aims to enhance the travel planning experience by delivering curated recommendations that match individual preferences, ensuring a memorable and enjoyable trip for every user.

Good Tripper Guide is an AI-powered historical tourist guide that helps users discover and learn about historical places near them. The application allows users to find the nearest historical places based on their location, get information from pictures, and explore fun facts and historical information. Developed by AE Studio, the tool aims to provide an immersive experience for history enthusiasts and travelers.

The website provides detailed information for beginners on selecting a nursing school, including points to consider, advantages and disadvantages of attending school, and what to study at nursing schools. It covers topics such as the curriculum, practical skills, and the importance of selecting a school based on personal goals and desired qualifications. The site also discusses the availability of dormitories, the purpose of nursing education, and the importance of clarifying learning goals and qualifications when choosing a nursing school.

Robot Spirit Guide is a website that offers a unique approach to exploring religious books. Users can ask questions and receive insights from a supernatural perspective. The platform allows users to select different faiths to consult, including Christianity, Judaism, Buddhism, Islam, Atheism, and Hinduism. Users can also suggest new faiths for consultation. The website is designed to provide a different perspective on spiritual matters and encourage users to broaden their understanding of various religions.

AI Driven Dev Community is a repository aimed at helping developers become more efficient by utilizing AI tools in their daily coding tasks. It provides a collection of tools, prompts, snippets, and agents for developers to integrate AI into their workflow. The repository is regularly updated with new resources and focuses on best practices for using AI in development work. Users can find tools like Espanso, ChatGPT, GitHub Copilot, and VSCode recommended for enhancing their coding experience. Additionally, the repository offers guidance on customizing AI for developers, installing AI toolbox for software engineers, and contributing to the community through easy steps.

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.

QodeAssist is an AI-powered coding assistant plugin for Qt Creator, offering intelligent code completion and suggestions for C++ and QML. It leverages large language models like Ollama to enhance coding productivity with context-aware AI assistance directly in the Qt development environment. The plugin supports multiple LLM providers, extensive model-specific templates, and easy configuration for enhanced coding experience.

PearAI is an AI-powered code editor designed to enhance development by reducing the amount of coding required. It is a fork of VSCode and the main functionality lies within the 'extension/pearai' submodule. Users can contribute to the project by fixing issues, submitting bugs and feature requests, reviewing source code changes, and improving documentation. The tool aims to streamline the coding process and provide an efficient environment for developers to work in.

This repository contains the code for coding, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch). In _Build a Large Language Model (From Scratch)_, you'll discover how LLMs work from the inside out. In this book, I'll guide you step by step through creating your own LLM, explaining each stage with clear text, diagrams, and examples. The method described in this book for training and developing your own small-but-functional model for educational purposes mirrors the approach used in creating large-scale foundational models such as those behind ChatGPT.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

StarCoder2-Instruct is an open-source pipeline that introduces StarCoder2-15B-Instruct-v0.1, a self-aligned code Large Language Model (LLM) trained with a fully permissive and transparent pipeline. It generates instruction-response pairs to fine-tune StarCoder-15B without human annotations or data from proprietary LLMs. The tool is primarily finetuned for Python code generation tasks that can be verified through execution, with potential biases and limitations. Users can provide response prefixes or one-shot examples to guide the model's output. The model may have limitations with other programming languages and out-of-domain coding tasks.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

Continue is an open-source autopilot for VS Code and JetBrains that allows you to code with any LLM. With Continue, you can ask coding questions, edit code in natural language, generate files from scratch, and more. Continue is easy to use and can help you save time and improve your coding skills.

Cursor Lens is an open-source tool that acts as a proxy between Cursor and various AI providers, logging interactions and providing detailed analytics to help developers optimize their use of AI in their coding workflow. It supports multiple AI providers, captures and logs all requests, provides visual analytics on AI usage, allows users to set up and switch between different AI configurations, offers real-time monitoring of AI interactions, tracks token usage, estimates costs based on token usage and model pricing. Built with Next.js, React, PostgreSQL, Prisma ORM, Vercel AI SDK, Tailwind CSS, and shadcn/ui components.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

Monacopilot is a powerful and customizable AI auto-completion plugin for the Monaco Editor. It supports multiple AI providers such as Anthropic, OpenAI, Groq, and Google, providing real-time code completions with an efficient caching system. The plugin offers context-aware suggestions, customizable completion behavior, and framework agnostic features. Users can also customize the model support and trigger completions manually. Monacopilot is designed to enhance coding productivity by providing accurate and contextually appropriate completions in daily spoken language.

The Llama Cookbook is the official guide for building with Llama Models, providing resources for inference, fine-tuning, and end-to-end use-cases of Llama Text and Vision models. The repository includes popular community approaches, use-cases, and recipes for working with Llama models. It covers topics such as multimodal inference, inferencing using Llama Guard, and specific tasks like Email Agent and Text to SQL. The structure includes sections for 3P Integrations, End to End Use Cases, Getting Started guides, and the source code for the original llama-recipes library.

This repository provides a guide for setting up tools for crewAI agents to enhance functionality. It offers steps to equip agents with ready-to-use tools and create custom ones. Tools are expected to return strings for generating responses. Users can create tools by subclassing BaseTool or using the tool decorator. Contributions are welcome to enrich the toolset, and guidelines are provided for contributing. The development setup includes installing dependencies, activating virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. The goal is to empower AI solutions through advanced tooling.

Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

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