Best AI tools for< Code Efficiently >

Codacy is an AI-powered code quality and security platform designed for developers to efficiently optimize and secure their code. It offers a unified set of AppSec tools, data-driven insights, and seamless integrations across the software development lifecycle. Codacy helps teams monitor and resolve security issues at scale, improve code quality, and prevent breaking changes. With AI suggested fixes and effortless code quality monitoring, Codacy is a valuable tool for businesses and developers alike.

Cursor is an AI code editor designed to enhance productivity by leveraging artificial intelligence. It allows developers to code more efficiently by predicting edits, writing code using natural language instructions, and providing quick access to codebase information. Cursor prioritizes privacy and security, ensuring that no code is stored by the platform. It is trusted by engineers worldwide and offers a seamless coding experience with regular updates and new features.

WPTurbo is an AI-powered tool designed for WordPress developers to generate code snippets quickly and efficiently. It leverages artificial intelligence to automate the coding process, providing clean, customizable code tailored to specific projects. With features like AI generators, snippets library, and projects management, WPTurbo aims to streamline WordPress development, reduce errors, and enhance productivity. The tool caters to both developers who code and those who prefer a no-code approach, offering a user-friendly solution for creating custom themes, plugins, and enhancing website functionality.

EnConvo is a seamless AI assistant that provides access to AI at any time, within any software. It offers convenient and efficient writing, coding, and various other tasks. With features like Plugin System, Vision Chat, Image Generation, and more, EnConvo aims to enhance productivity and streamline workflows. The application is designed to empower users with the power of AI for managing tasks and resources effectively.

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.

Zemith is an all-in-one AI platform that serves as a work, research, and creative assistant. It provides access to various AI tools such as chat, search, notepad, document analysis, and image generation in a single platform. Users can leverage advanced AI models like Gemini-2.0, Claude 3.5 Sonnet, GPT o3-mini, and more to enhance productivity and creativity. Zemith aims to streamline workflows, save costs, and improve efficiency by offering a comprehensive suite of AI-powered features.

Witlly is an all-in-one AI platform that offers various tools such as a text generator, chatbot, code generator, image generator, speech-to-text, text-to-speech, web browser, and more. It provides users with the ability to generate high-quality content quickly and efficiently, including product descriptions, blog posts, email newsletters, social media updates, high-quality images, graphics, and code. Witlly also features an advanced editor for editing AI-generated content and offers flexible subscription plans tailored to different user needs.

Ai Helper is an AI application that integrates artificial intelligence into your computer to provide various functions such as interacting with websites, PDFs, and videos, composing emails, optimizing SEO articles, automating workflows, coding assistance, and more. It offers a user-friendly interface and supports multiple AI engines and large models to meet different needs. Ai Helper is designed to enhance productivity and efficiency in various tasks across different domains.

Symphony is a programming tool that allows users to write programs using natural language. It aims to simplify the process of coding by enabling users to interact with the system through conversational language, making it more accessible to non-programmers. Symphony provides a user-friendly interface for creating scripts and automating tasks, making it ideal for beginners and experienced developers alike.

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.

OppyDev is a collaborative AI agent designed to elevate coding experiences by assisting developers in understanding and writing code efficiently. It utilizes cutting-edge AI technology to empower developers, allowing them to customize AI suggestions and enhance their coding capabilities. OppyDev seamlessly integrates into workflows, providing a user-friendly interface optimized for collaboration with an AI agent.

UpCodes is a searchable platform that provides access to building codes, assemblies, and building products libraries. It offers a comprehensive database of regulations and standards for construction projects, enabling users to easily search and reference relevant information. With UpCodes, architects, engineers, contractors, and other industry professionals can streamline their workflow, ensure compliance with codes, and enhance the quality of their designs. The platform is designed to simplify the process of accessing and interpreting building codes, saving time and reducing errors in construction projects.

GitLab is a comprehensive AI-powered DevSecOps platform that balances speed and security in a single platform. It automates software delivery, boosts productivity, and secures the end-to-end software supply chain. GitLab simplifies the toolchain by providing all essential DevSecOps tools in one place, accelerates software delivery with automation and AI-powered workflows, and integrates security seamlessly. It allows users to deploy anywhere without cloud vendor lock-in, offering value stream management, analytics, and insights to accelerate coding and optimize processes.

GitLab is a comprehensive AI-powered DevSecOps platform that balances speed and security in a single platform. It automates software delivery, boosts productivity, and secures the end-to-end software supply chain. GitLab simplifies the toolchain by providing all essential DevSecOps tools in one place, accelerates software delivery through automation and AI-powered workflows, and integrates security seamlessly. It allows users to deploy anywhere without cloud vendor lock-in, offering value stream management, analytics, and insights to accelerate coding. GitLab is trusted by industry leaders for building mission-critical software and is recognized as a Leader in DevOps Platforms by various industry analysts.

AskCodi is an AI coding assistant that helps developers write code more efficiently. It provides real-time suggestions, code completion, and error detection to streamline the coding process. With its advanced algorithms, AskCodi can understand the context of the code and offer relevant recommendations. By leveraging machine learning techniques, AskCodi continuously learns and improves its suggestions to better assist developers in their coding tasks.

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.

CodeCopilot AI is an AI-powered code generation tool that assists developers in writing code more efficiently. By leveraging machine learning algorithms, the tool analyzes code snippets and provides suggestions for completing code blocks. With its intuitive interface, developers can save time and improve productivity by automating repetitive coding tasks. CodeCopilot AI is designed to streamline the coding process and enhance the overall development experience.

Figstack is an intelligent coding companion powered by AI, designed to help developers document and understand code more efficiently. It offers a suite of solutions that include features like explaining code in natural language, translating programming languages, automating documentation, and analyzing the time complexity of programs. Figstack aims to simplify the coding process by providing tools that enhance productivity and code readability.

Copilot for CodeMirror is an open-source extension for CodeMirror that enhances coding experience by providing autocompletion using OpenAI's GPT models. It aims to assist developers in writing code more efficiently and accurately by suggesting code snippets based on context. The tool integrates seamlessly with CodeMirror, a popular in-browser code editor, to offer GitHub Copilot-like features for improved productivity.

VBA Code Generator is an AI-powered tool that allows users to generate VBA code quickly and efficiently. By inputting requirements, users can instantly generate complex VBA code using simple text instructions with the help of AI. The tool is designed for both beginners and experienced users, offering a versatile application that can handle various VBA tasks, from Excel automation to Access database management. With a focus on saving time and streamlining workflows, VBA Code Generator simplifies the coding process and provides accurate formulas for users' specific needs.

CodeAsk is a code analysis tool designed to tackle complex issues such as code that seems to self-replicate, cryptic comments left by predecessors, messy and unclear code, and long-lasting temporary solutions. It offers intelligent code organization and analysis, security vulnerability detection, code quality assessment, and other interesting prompts to help users understand and work with legacy code more efficiently. The tool aims to translate 'legacy code mountains' into understandable language, creating an illusion of comprehension and facilitating knowledge transfer to new team members.

p1 is a code completion engine based on Large Language Models (LLM) that operates at the edge. It provides intelligent code suggestions and completions to enhance the coding experience. The tool is designed to assist developers in writing code more efficiently by predicting and offering context-aware completions based on the code being written. With implementations available for popular code editors like Vim and Visual Studio Code, p1 aims to improve productivity and streamline the coding process for software developers.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

Awesome Mamba is a curated collection of groundbreaking research papers and articles on Mamba Architecture, a pioneering framework in deep learning known for its selective state spaces and efficiency in processing complex data structures. The repository offers a comprehensive exploration of Mamba architecture through categorized research papers covering various domains like visual recognition, speech processing, remote sensing, video processing, activity recognition, image enhancement, medical imaging, reinforcement learning, natural language processing, 3D recognition, multi-modal understanding, time series analysis, graph neural networks, point cloud analysis, and tabular data handling.

TaskWeaver is a code-first agent framework designed for planning and executing data analytics tasks. It interprets user requests through code snippets, coordinates various plugins to execute tasks in a stateful manner, and preserves both chat history and code execution history. It supports rich data structures, customized algorithms, domain-specific knowledge incorporation, stateful execution, code verification, easy debugging, security considerations, and easy extension. TaskWeaver is easy to use with CLI and WebUI support, and it can be integrated as a library. It offers detailed documentation, demo examples, and citation guidelines.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

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.

PR-Agent is a tool that helps to efficiently review and handle pull requests by providing AI feedbacks and suggestions. It supports various commands such as generating PR descriptions, providing code suggestions, answering questions about the PR, and updating the CHANGELOG.md file. PR-Agent can be used via CLI, GitHub Action, GitHub App, Docker, and supports multiple git providers and models. It emphasizes real-life practical usage, with each tool having a single GPT-4 call for quick and affordable responses. The PR Compression strategy enables effective handling of both short and long PRs, while the JSON prompting strategy allows for modular and customizable tools. PR-Agent Pro, the hosted version by CodiumAI, provides additional benefits such as full management, improved privacy, priority support, and extra features.

LLM-Merging is a repository containing starter code for the LLM-Merging competition. It provides a platform for efficiently building LLMs through merging methods. Users can develop new merging methods by creating new files in the specified directory and extending existing classes. The repository includes instructions for setting up the environment, developing new merging methods, testing the methods on specific datasets, and submitting solutions for evaluation. It aims to facilitate the development and evaluation of merging methods for LLMs.

Blockoli is a high-performance tool for code indexing, embedding generation, and semantic search tool for use with LLMs. It is built in Rust and uses the ASTerisk crate for semantic code parsing. Blockoli allows you to efficiently index, store, and search code blocks and their embeddings using vector similarity. Key features include indexing code blocks from a codebase, generating vector embeddings for code blocks using a pre-trained model, storing code blocks and their embeddings in a SQLite database, performing efficient similarity search on code blocks using vector embeddings, providing a REST API for easy integration with other tools and platforms, and being fast and memory-efficient due to its implementation in Rust.

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.

foreverVM is a tool that provides an API for running arbitrary, stateful Python code securely. It revolves around the concepts of machines and instructions, where machines represent stateful Python processes and instructions are Python statements and expressions that can be executed on these machines. Users can interact with machines, run instructions, and receive results. The tool ensures that machines are managed efficiently by automatically swapping them from memory to disk when idle and back when needed, allowing for running REPLs 'forever'. Users can easily get started with foreverVM using the CLI and an API token, and can leverage the SDK for more advanced functionalities.

This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers, images, videos, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.

This repository contains the code and dataset for LDB, a novel debugging framework that enables Large Language Models (LLMs) to refine their generated programs by tracking the values of intermediate variables throughout the runtime execution. LDB segments programs into basic blocks, allowing LLMs to concentrate on simpler code units, verify correctness block by block, and pinpoint errors efficiently. The tool provides APIs for debugging and generating code with debugging messages, mimicking how human developers debug programs.

The Eureka ML Insights Framework is a repository containing code designed to help researchers and practitioners run reproducible evaluations of generative models efficiently. Users can define custom pipelines for data processing, inference, and evaluation, as well as utilize pre-defined evaluation pipelines for key benchmarks. The framework provides a structured approach to conducting experiments and analyzing model performance across various tasks and modalities.

AgentStack is a command-line tool that helps users create AI agent projects quickly and efficiently. It offers CLI utilities for code generation and simplifies the process of building agents and tasks. The tool is designed to work on macOS, Windows, and Linux, providing a seamless experience for developers. AgentStack aims to streamline the development process by offering pre-built templates, easy access to tools, and a curated experience on top of popular agent frameworks and LLM providers. It is not a low-code solution but rather a head-start for starting agent projects from scratch.

MiniCPM is a series of open-source large models on the client side jointly developed by Face Intelligence and Tsinghua University Natural Language Processing Laboratory. The main language model MiniCPM-2B has only 2.4 billion (2.4B) non-word embedding parameters, with a total of 2.7B parameters. - After SFT, MiniCPM-2B performs similarly to Mistral-7B on public comprehensive evaluation sets (better in Chinese, mathematics, and code capabilities), and outperforms models such as Llama2-13B, MPT-30B, and Falcon-40B overall. - After DPO, MiniCPM-2B also surpasses many representative open-source large models such as Llama2-70B-Chat, Vicuna-33B, Mistral-7B-Instruct-v0.1, and Zephyr-7B-alpha on the current evaluation set MTBench, which is closest to the user experience. - Based on MiniCPM-2B, a multi-modal large model MiniCPM-V 2.0 on the client side is constructed, which achieves the best performance of models below 7B in multiple test benchmarks, and surpasses larger parameter scale models such as Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on the OpenCompass leaderboard. MiniCPM-V 2.0 also demonstrates leading OCR capabilities, approaching Gemini Pro in scene text recognition capabilities. - After Int4 quantization, MiniCPM can be deployed and inferred on mobile phones, with a streaming output speed slightly higher than human speech speed. MiniCPM-V also directly runs through the deployment of multi-modal large models on mobile phones. - A single 1080/2080 can efficiently fine-tune parameters, and a single 3090/4090 can fully fine-tune parameters. A single machine can continuously train MiniCPM, and the secondary development cost is relatively low.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.

Efficiently converts wireframes to Tailwind HTML with code and download link.

Analyzes code for time and memory complexity

Friendly web assistant for efficient code. Ask the wizard to create an application and you will get the HTML, CSS and Javascript code ready to run your web application.

Swift Developer is an AI tailored for Apple family software engineering in Swift, offering solutions aligned with market best practices and swift.org guidelines. It provides clear, efficient code and simplifies complex concepts, ideal for optimizing and understanding iOS projects.

Unity development assistant for version-specific advice

Academic assistant for SICP study, referencing solutions

To get started, please type "menu" and select an option from the menu by typing the corresponding keyword or number. If at any time you need assistance or wish to ask a question, just type "help" for more options.

Assists in optimizing SQL code with best practices and efficiency tips.

Generates complete, secure, and efficient frontend code for website templates.

Enthusiastic Java code optimizer with a focus on clarity and encouragement.

中国QT C++顶级程序员，提供中文解答和代码示例

AI programming assistant specializing in clear, efficient coding

Efficient and witty Python 3 code wizard.

Your personal NestJS assistant and code generator with a focus on responsive, efficient, and scalable projects. Write clean code and become a much faster developer.

A Python and programming expert, guiding users on best practices for writing clean, efficient, and well-documented Python code.

FlutterCraft is an AI-powered assistant that streamlines Flutter app development. It interprets user-provided descriptions to generate and compile Flutter app code, providing ready-to-install APK and iOS files. Ideal for rapid prototyping, FlutterCraft makes app development accessible and efficient.

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

An AI GPT model designed to assist with Shell/Bash programming, providing real-time code suggestions, debugging tips, and script optimization for efficient command-line operations.

Drives efficient back-end processes through innovative coding and software solutions.

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