Best AI tools for< Design Systems >

Hermae Solutions offers an AI Assistant for Enterprise Design Systems, providing onboarding acceleration, contractor efficiency, design system adoption support, knowledge distribution, and various AI documentation and Storybook assistants. The platform enables users to train custom AI assistants, embed them into documentation sites, and communicate instantly with the knowledge base. Hermae's process simplifies efficiency improvements by gathering information sources, processing data for AI supplementation, customizing integration, and supporting integration success. The AI assistant helps reduce engineering costs and increase development efficiency across the board.

Figr is an AI-driven platform that specializes in UI design and workflow optimization. It leverages artificial intelligence to streamline the design process, making it more efficient and user-friendly. With Figr, users can create stunning user interfaces with ease, thanks to its intuitive tools and smart suggestions. The platform caters to both beginners and experienced designers, offering a range of features to enhance productivity and creativity. Figr aims to revolutionize the way UI design is approached by integrating AI technology seamlessly into the workflow.

UXPin is an AI-powered UX/UI and prototyping tool designed for designers and developers to streamline the design process. It allows users to design UI, create prototypes, manage design systems, and merge code seamlessly. With advanced features like AI-powered design, code-backed components, and integration with popular libraries, UXPin enhances collaboration between designers and developers, resulting in faster product development cycles and improved design consistency.

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.

Motiff is an AI-powered professional interface design tool that enables collaboration between human and AI to achieve 10x efficiency in UI design. It offers a comprehensive platform for designing, aligning, and building with a team, along with features like cloud collaboration, prototyping, and Dev Mode for developers. Motiff provides high-performance design tools at a cost-effective price, with a focus on smooth performance, speedy optimization, and robust stability. The application aims to push creativity to the max by starting intelligent practices and exploring the future of AI design systems.

Tempo Labs is an AI-powered platform that enables designers and developers to collaborate efficiently by providing a single source of truth. With features like generating functional React apps, designing effortlessly with a drag-and-drop editor, and building and maintaining design systems, Tempo Labs empowers users to work 10x faster. The platform supports any React codebase, allows code editing locally in VSCode, and offers a variety of components and templates for quick start. Tempo Labs offers different pricing plans, including a free tier and a premium Agent+ plan with human engineers and designers for quality assurance.

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.

Quest is a web-based application that allows users to generate React code from their designs. It incorporates AI models to generate real, useful code that incorporates all the things professional developers care about. Users can use Quest to build new applications, add to existing applications, and create design systems and libraries. Quest is made for development teams and integrates with the design and dev tools that users love. It is also built for the most demanding product teams and can be used to build new applications, build web pages, and create component templates.

Figma is a collaborative interface design tool that allows design and development teams to work together on building great products. It offers features like design and prototyping in one place, collaborating with a digital whiteboard, translating designs into code, creating presentations, and exploring AI features. Figma helps streamline the product development process by providing tools for design systems, prototyping, UX design, web design, wireframing, and more. It aims to bring design and development teams together to create a seamless workflow and improve productivity.

Diagramix is an AI-powered tool that allows users to generate various types of diagrams, such as sequence diagrams, flowcharts, state diagrams, ER diagrams, user journey diagrams, class diagrams, mind maps, and use case diagrams. Users can create these diagrams easily and efficiently with the help of Diagramix and ChatGPT. The tool provides a user-friendly interface for creating visual representations of complex systems and processes, making it ideal for professionals, students, and anyone who needs to visualize information.

Cognition is an applied AI lab focused on reasoning. Their first product, Devin, is the first AI software engineer. Cognition is a small team based in New York and the San Francisco Bay Area.

Durable is a custom software development platform powered by generative AI. It enables users to create tailored software solutions without writing any code. The platform is designed to be accessible to users of all technical abilities and leverages advanced AI techniques to generate deploy-ready software that meets specific user needs and earns their trust. The team behind Durable comprises experienced founders, venture capital investors, and AI research leaders. Their AI technology combines deep learning and symbolic AI to understand user intent, validate assumptions, and continuously learn and reason. Durable is committed to developing the next chapter of AI and welcomes inquiries from driven and enthusiastic individuals interested in shaping the future of software development.

Capsule is an AI-powered video editing tool designed for enterprise teams to create professional-grade videos quickly and easily. It uses motion graphics and AI technology to streamline the editing process, making it 10x faster than traditional video editors. With Capsule, users can stay on brand with motion design systems, automate editing tasks with an AI-powered assistant, and create stunning videos with studio-quality graphics and captions. The tool is designed to be user-friendly, allowing even non-professionals to create engaging videos at scale.

Valispace is an AI-powered platform that streamlines the entire engineering process, from requirements engineering to system design, test, verification, and validation. It modernizes classic engineering practices, enabling fast design iterations and automatic verifications. The platform assists in removing mundane and manual engineering tasks, saving engineering hours and enhancing collaboration among engineers and stakeholders.

Stanford HAI is a research institute at Stanford University dedicated to advancing AI research, education, and policy to improve the human condition. The institute brings together researchers from a variety of disciplines to work on a wide range of AI-related projects, including developing new AI algorithms, studying the ethical and societal implications of AI, and creating educational programs to train the next generation of AI leaders. Stanford HAI is committed to developing human-centered AI technologies and applications that benefit all of humanity.

N-iX is a global provider of software development outsourcing services with delivery centers across Europe and over 2,200 expert software developers. We partner with technology businesses globally helping them to build successful engineering teams and create innovative software products. Our expertise includes cloud solutions, data analytics, machine learning & AI, embedded software and IoT, enterprise VR, and RPA and enterprise platforms.

The Institute of Computer Science at the University of Würzburg is a leading research and teaching institution in the field of computer science. With 29 professors and around 200 employees, the institute offers a wide range of study programs, including bachelor's, master's, and teaching degrees. The institute's research focuses on four main areas: Computing, Systems and Networks; Artificial Intelligence and Data Science; Human-Centered Computing; and Aerospace and Robotics.

Mobility Engineering is a website that provides news, articles, and resources on the latest developments in mobility technology. The site covers a wide range of topics, including autonomous vehicles, connected cars, electric vehicles, and more. Mobility Engineering is a valuable resource for anyone interested in staying up-to-date on the latest trends in mobility technology.

Appsmakerstore is a leader in innovative, AI-driven mobile app development services targeted at the general public. With its 100% No-Code SaaS service, Appsmakerstore assists businesses and organizations, supporting entrepreneurship and economic growth, promoting industrial innovation, and contributing to reducing inequality in line with the UN's Sustainable Development Goals. This is achieved by offering modern technology to a wide range of users worldwide, regardless of their technical background.

The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.

Motleycrew is an ultimate framework for building multi-agent AI systems, allowing users to mix and match AI agents and tools from popular frameworks, design advanced workflows, and leverage dynamic knowledge graphs with simplicity and elegance. It acts as a conductor orchestrating a symphony of AI agents and tools, providing building blocks for creating AI systems and enabling users to focus on high-level design while taking care of the rest. The framework offers integration with various tools, flexibility in providing agents with tools or other agents, advanced flow design capabilities, and built-in observability and caching features.

A drill of scientific methods, processes, algorithms, and systems to build stories & models. An in-depth learning resource for humans. This is a drill for people who aim to be in the top 1% of Data and AI experts. The repository provides a routine for deep and shallow work sessions, covering topics from Python to AI/ML System Design and Personal Branding & Portfolio. It emphasizes the importance of continuous effort and action in the tech field.

AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

Plate is a rich-text editor framework designed for simplicity and efficiency. It consists of core plugin system, various plugin packages, primitive hooks and components, and pre-built components. Plate offers templates for different use cases like Notion-like template, Plate playground template, and Plate minimal template. Users can refer to the documentation for more information on Plate. Contributors are welcome to join the project by giving stars, making pull requests, or sharing plugins.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Awesome CS Books is a curated list of books on computer science and technology. The books are organized by topic, including programming languages, software engineering, computer networks, operating systems, databases, data structures and algorithms, big data, architecture, and interviews. The books are available in PDF format and can be downloaded for free. The repository also includes links to free online courses and other resources.

This open-source project, also known as **Deep Learning System** or **AI System (AISys)**, aims to explore and learn about the system design of artificial intelligence and deep learning. The project is centered around the full-stack content of AI systems that ZOMI has accumulated,整理, and built during his work. The goal is to collaborate with all friends who are interested in AI open-source projects to jointly promote learning and discussion.

This repository provides an in-depth review of industry trends in AI, Large Language Models (LLMs), Machine Learning, Computer Science, and Quantitative Finance. It covers various topics such as NVIDIA GTC conferences, DeepSeek theory and applications, LangGraph & Cursor AI, LLM essentials, system design, computer systems, big data and AI in finance, C++ design patterns, high-frequency finance, machine learning for algorithmic trading, stochastic volatility modeling, and quant job interview questions.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

Scalene is a high-performance CPU, GPU, and memory profiler for Python that provides detailed information and runs faster than many other profilers. It incorporates AI-powered proposed optimizations, allowing users to generate optimization suggestions by clicking on specific lines or regions of code. Scalene separates time spent in Python from native code, highlights hotspots, and identifies memory usage per line. It supports GPU profiling on NVIDIA-based systems and detects memory leaks. Users can generate reduced profiles, profile specific functions using decorators, and suspend/resume profiling for background processes. Scalene is available as a pip or conda package and works on various platforms. It offers features like profiling at the line level, memory trends, copy volume reporting, and leak detection.

Parrot is a distributed serving system for LLM-based Applications, designed to efficiently serve LLM-based applications by adding Semantic Variable in the OpenAI-style API. It allows for horizontal scalability with multiple Engine instances running LLM models communicating with ServeCore. The system enables AI agents to interact with LLMs via natural language prompts for collaborative tasks.

ServerlessLLM is a fast, affordable, and easy-to-use library designed for multi-LLM serving, optimized for environments with limited GPU resources. It supports loading various leading LLM inference libraries, achieving fast load times, and reducing model switching overhead. The library facilitates easy deployment via Ray Cluster and Kubernetes, integrates with the OpenAI Query API, and is actively maintained by contributors.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Llumnix is a cross-instance request scheduling layer built on top of LLM inference engines such as vLLM, providing optimized multi-instance serving performance with low latency, reduced time-to-first-token (TTFT) and queuing delays, reduced time-between-tokens (TBT) and preemption stalls, and high throughput. It achieves this through dynamic, fine-grained, KV-cache-aware scheduling, continuous rescheduling across instances, KV cache migration mechanism, and seamless integration with existing multi-instance deployment platforms. Llumnix is easy to use, fault-tolerant, elastic, and extensible to more inference engines and scheduling policies.

Sarathi-Serve is the official OSDI'24 artifact submission for paper #444, focusing on 'Taming Throughput-Latency Tradeoff in LLM Inference'. It is a research prototype built on top of CUDA 12.1, designed to optimize throughput-latency tradeoff in Large Language Models (LLM) inference. The tool provides a Python environment for users to install and reproduce results from the associated experiments. Users can refer to specific folders for individual figures and are encouraged to cite the paper if they use the tool in their work.

Awesome European Tech is an up-to-date list of recommended European projects and companies curated by the community to support and strengthen the European tech ecosystem. It focuses on privacy and sustainability, showcasing companies that adhere to GDPR compliance and sustainability standards. The project aims to highlight and support European startups and projects excelling in privacy, sustainability, and innovation to contribute to a more diverse, resilient, and interconnected global tech landscape.

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Tech-savvy manager for computer-based problem-solving.

An mechanical engineering tutor, aiding with concepts and problem-solving.

Your communication assistant, TechTalker, simplifies messaging for software engineers with clarity and ease.

Virtual CTO adept in tech, leadership, and team dynamics

Your proactive virtual CTO, ready to implement requests

Fun and scholarly insights into systems theory

Specialized assistant for MEP engineers, aiding in calculations and system design.

Accurate mentor on TDD, emphasizing one test at a time.

A diagram wizard to the rescue

Advises on thermodynamics processes to optimize system efficiency.

Expert in software architecture, ensuring integrity and scalability through best practices.