Best AI tools for< Code Generation Performance >

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

AskCodi is an AI-powered coding assistant designed to enhance developer productivity and efficiency. It offers a range of features, including AI-powered chat, workbooks, and integrations, to streamline coding tasks and improve code quality. AskCodi is trusted by developers worldwide for its ability to automate repetitive processes, provide real-time code suggestions, and enhance overall coding performance.

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.

CodeDefender α is an AI-powered tool that helps developers and non-developers improve code quality and security. It integrates with popular IDEs like Visual Studio, VS Code, and IntelliJ, providing real-time code analysis and suggestions. CodeDefender supports multiple programming languages, including C/C++, C#, Java, Python, and Rust. It can detect a wide range of code issues, including security vulnerabilities, performance bottlenecks, and correctness errors. Additionally, CodeDefender offers features like custom prompts, multiple models, and workspace/solution understanding to enhance code comprehension and knowledge sharing within teams.

Devin AI, developed by Cognition Labs, is the world's first fully autonomous AI software engineer. It streamlines software development by handling complex tasks, allowing engineers to focus on more challenging aspects. Devin AI possesses advanced programming skills, can manage complex tasks, understands and learns contextually, integrates with developer tools, and offers collaborative features. It can build and deploy applications, detect and fix bugs, contribute to open-source projects, train AI models, and handle GitHub repositories. Devin AI has demonstrated strong performance in issue resolution, surpassing previous AI models. It is currently in early access, with plans for future enhancements and integration with various development tools and platforms.

The ZAI is an AI application that offers a platform for generating code files and app structures with the help of artificial intelligence. It provides features such as app structure generation, multi-platform support, code optimization, and rapid prototyping. Users can quickly create functional app prototypes for testing and iteration. The application aims to enhance productivity and streamline the app development process by leveraging AI technology.

Bito AI is an AI-powered code review tool that helps developers write better code faster. It provides real-time feedback on code quality, security, and performance, and can also generate test cases and documentation. Bito AI is trusted by developers across the world, and has been shown to reduce review time by 50%.

TarsyAI is an AI tool that allows users to build AI assistants without the need for coding. Users can create customized AI assistants to manage customer support, lead generation, sales, and more. The platform offers features such as training with own data, customizing chat widgets, deploying AI assistants, monitoring and improving performance. TarsyAI supports multiple languages, provides advanced AI instructions, lead generation capabilities, and detailed analytics to enhance user interactions. The tool offers various pricing options to cater to different user needs, with a free trial available for all plans.

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.

AI2SQL is an AI-powered SQL query builder and generator that allows users to create, optimize, and automate SQL queries without the need for expert skills. The tool transforms natural language instructions into precise SQL and NoSQL queries, simplifying database design and enhancing query performance. With features like text to SQL conversion, SQL query optimization, and formula generation, AI2SQL streamlines complex operations and provides data insights for efficient analysis.

DeepSeek v3 is an advanced AI language model that represents a major breakthrough in AI language models. It features a groundbreaking Mixture-of-Experts (MoE) architecture with 671B total parameters, delivering state-of-the-art performance across various benchmarks while maintaining efficient inference capabilities. DeepSeek v3 is pre-trained on 14.8 trillion high-quality tokens and excels in tasks such as text generation, code completion, and mathematical reasoning. With a 128K context window and advanced Multi-Token Prediction, DeepSeek v3 sets new standards in AI language modeling.

AllAIs is an AI ecosystem platform that brings together various AI tools, including large language models (LLMs), image generation capabilities, and development plugins, into a unified ecosystem. It aims to enhance productivity by providing a comprehensive suite of tools for both creative and technical tasks. Users can access popular LLMs, generate high-quality images, and streamline their projects using web and Visual Studio Code plugins. The platform offers integration with other tools and services, multiple pricing tiers, and regular updates to ensure high performance and compatibility with new technologies.

Ninja AI is an all-in-one AI platform designed for unlimited productivity. It offers a wide range of AI agents and models to assist users in tasks such as research, writing, coding, image generation, and file analysis. Ninja's compound AI system orchestrates across various AI models to deliver outstanding results. The platform is cost-efficient, user-friendly, and powered by next-gen hardware from AWS, ensuring high performance and adaptability.

Reka is a cutting-edge AI application offering next-generation multimodal AI models that empower agents to see, hear, and speak. Their flagship model, Reka Core, competes with industry leaders like OpenAI and Google, showcasing top performance across various evaluation metrics. Reka's models are natively multimodal, capable of tasks such as generating textual descriptions from videos, translating speech, answering complex questions, writing code, and more. With advanced reasoning capabilities, Reka enables users to solve a wide range of complex problems. The application provides end-to-end support for 32 languages, image and video comprehension, multilingual understanding, tool use, function calling, and coding, as well as speech input and output.

Synthflow is an AI phone calling platform that offers AI receptionist and answering services. It allows users to build a no-code AI phone system with AI voice agents, automate routine calls, provide 24/7 customer support, and track performance insights. The platform integrates with various CRMs, offers real-time booking, multi-human transfer, post-call actions, and custom actions. Users can manage contacts, track conversation history, and connect with systems like HubSpot, GoHighLevel, and Zoho. Synthflow is known for its white-label solution, transparent billing, and easy integrations.

Kolank is an AI tool that offers a unified API for various AI models, including Generative AI. It provides features such as load balancing, fallbacks, cost and performance metrics. Users can easily access and utilize AI models for tasks like text generation, image analysis, and video processing. Kolank simplifies the integration of AI capabilities into applications, making it a valuable resource for developers and businesses seeking to leverage AI technology.

MyQRCode.com™ is an advanced QR code generator that empowers businesses and individuals to create, customize, and track QR codes for various purposes. With its user-friendly interface and powerful features, MyQRCode.com™ simplifies the process of generating QR codes, making it accessible to anyone. The platform offers a wide range of QR code types, including website URLs, vCards, PDFs, images, social media profiles, videos, simple text, business pages, Facebook pages, Wi-Fi networks, and app downloads. MyQRCode.com™ also provides advanced customization options, allowing users to add their company logos, change colors, and select from a variety of designs to create visually appealing QR codes that align with their brand identity. Additionally, the platform offers comprehensive analytics, enabling users to track the performance of their QR codes, including the number of scans, scan locations, and the devices used to scan the codes. This data provides valuable insights into the effectiveness of QR code campaigns and helps businesses optimize their marketing strategies.

QR Diffusion is an AI-powered QR code art generator that allows users to transform their QR codes into visually stunning works of art in seconds. The website offers a variety of templates and customization options to create unique and eye-catching QR codes. With features like dynamic QR data, editable artwork templates, and analytics dashboard, QR Diffusion provides a user-friendly platform for generating artistic QR codes. Users can easily grab attention and increase scan rates with the help of this innovative tool.

Master of Code Global is an AI development company that offers a wide range of AI, web, and mobile solutions to enhance customer experiences. They specialize in services such as chatbot development, conversational AI, generative AI development, web development, software product development, and more. With a focus on leveraging advanced technology to automate tasks, analyze data effectively, and personalize customer interactions, Master of Code Global aims to provide custom world-class digital experiences for web and mobile platforms empowered by AI.

AiPlus is an AI tool designed to serve as a cost-efficient model gateway. It offers users a platform to access and utilize various AI models for their projects and tasks. With AiPlus, users can easily integrate AI capabilities into their applications without the need for extensive development or resources. The tool aims to streamline the process of leveraging AI technology, making it accessible to a wider audience.

EvalPlus is a rigorous evaluation framework for LLM4Code, providing HumanEval+ and MBPP+ tests to evaluate large language models on code generation tasks. It offers precise evaluation and ranking, coding rigorousness analysis, and pre-generated code samples. Users can use EvalPlus to generate code solutions, post-process code, and evaluate code quality. The tool includes tools for code generation and test input generation using various backends.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

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)

Awesome-LLM-Constrained-Decoding is a curated list of papers, code, and resources related to constrained decoding of Large Language Models (LLMs). The repository aims to facilitate reliable, controllable, and efficient generation with LLMs by providing a comprehensive collection of materials in this domain.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

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.

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.

CodeGeeX4-ALL-9B is an open-source multilingual code generation model based on GLM-4-9B, offering enhanced code generation capabilities. It supports functions like code completion, code interpreter, web search, function call, and repository-level code Q&A. The model has competitive performance on benchmarks like BigCodeBench and NaturalCodeBench, outperforming larger models in terms of speed and performance.

The repository 'Awesome-LLM-Preference-Learning' is the official repository of a survey paper titled 'Towards a Unified View of Preference Learning for Large Language Models: A Survey'. It contains a curated list of papers related to preference learning for Large Language Models (LLMs). The repository covers various aspects of preference learning, including on-policy and off-policy methods, feedback mechanisms, reward models, algorithms, evaluation techniques, and more. The papers included in the repository explore different approaches to aligning LLMs with human preferences, improving mathematical reasoning in LLMs, enhancing code generation, and optimizing language model performance.

Nextpy is a cutting-edge software development framework optimized for AI-based code generation. It provides guardrails for defining AI system boundaries, structured outputs for prompt engineering, a powerful prompt engine for efficient processing, better AI generations with precise output control, modularity for multiplatform and extensible usage, developer-first approach for transferable knowledge, and containerized & scalable deployment options. It offers 4-10x faster performance compared to Streamlit apps, with a focus on cooperation within the open-source community and integration of key components from various projects.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

RTL-Coder is a tool designed to outperform GPT-3.5 in RTL code generation by providing a fully open-source dataset and a lightweight solution. It targets Verilog code generation and offers an automated flow to generate a large labeled dataset with over 27,000 diverse Verilog design problems and answers. The tool addresses the data availability challenge in IC design-related tasks and can be used for various applications beyond LLMs. The tool includes four RTL code generation models available on the HuggingFace platform, each with specific features and performance characteristics. Additionally, RTL-Coder introduces a new LLM training scheme based on code quality feedback to further enhance model performance and reduce GPU memory consumption.

StarVector is a multimodal vision-language model for Scalable Vector Graphics (SVG) generation. It can be used to perform image2SVG and text2SVG generation. StarVector works directly in the SVG code space, leveraging visual understanding to apply accurate SVG primitives. It achieves state-of-the-art performance in producing compact and semantically rich SVGs. The tool provides Hugging Face model checkpoints for image2SVG vectorization, with models like StarVector-8B and StarVector-1B. It also offers datasets like SVG-Stack, SVG-Fonts, SVG-Icons, SVG-Emoji, and SVG-Diagrams for evaluation. StarVector can be trained using Deepspeed or FSDP for tasks like Image2SVG and Text2SVG generation. The tool provides a demo with options for HuggingFace generation or VLLM backend for faster generation speed.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

TableLLM is a large language model designed for efficient tabular data manipulation tasks in real office scenarios. It can generate code solutions or direct text answers for tasks like insert, delete, update, query, merge, and chart operations on tables embedded in spreadsheets or documents. The model has been fine-tuned based on CodeLlama-7B and 13B, offering two scales: TableLLM-7B and TableLLM-13B. Evaluation results show its performance on benchmarks like WikiSQL, Spider, and self-created table operation benchmark. Users can use TableLLM for code and text generation tasks on tabular data.

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.

Booster is a powerful inference accelerator designed for scaling large language models within production environments or for experimental purposes. It is built with performance and scaling in mind, supporting various CPUs and GPUs, including Nvidia CUDA, Apple Metal, and OpenCL cards. The tool can split large models across multiple GPUs, offering fast inference on machines with beefy GPUs. It supports both regular FP16/FP32 models and quantised versions, along with popular LLM architectures. Additionally, Booster features proprietary Janus Sampling for code generation and non-English languages.

Google GenerativeAI (Gemini) is an unofficial C# .Net SDK based on REST APIs for accessing Google Gemini models. It offers a complete rewrite of the previous SDK with improved performance, flexibility, and ease of use. The SDK seamlessly integrates with LangChain.net, providing easy methods for JSON-based interactions and function calling with Google Gemini models. It includes features like enhanced JSON mode handling, function calling with code generator, multi-modal functionality, Vertex AI support, multimodal live API, image generation and captioning, retrieval-augmented generation with Vertex RAG Engine and Google AQA, easy JSON handling, Gemini tools and function calling, multimodal live API, and more.

我分析并优化代码以提高性能和可读性。

Writes complete Next.JS code with thorough explanations

I make great success API code!

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

GPT expert in Kotlin & Java.

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.

Assists with Flutter and Dart code generation and debugging

Supabase expert also supports query generation and Flutter code generation

Flutter flow pro guide that also supports code generation

Expert in Ruby programming, offering code generation, learning support, and code review.

I assist with all aspects of Java programming, from code generation to learning.

专注于Kratos代码生成的工具

Adaptable full-stack dev guide, expert in Python and R.

I translate designs to TypeScript, AntD, and .less code.

Generates a full & complete Python codebase, after clarifying questions, by following a structured section pattern.

Formal, straightforward expert coder for API documentation.

Generates concise, copy-paste code snippets quickly no unnecessary text.

Generates web scraping code with accurate selectors.

A Senior Software Engineer GPT, explaining tech stacks and coding choices.