Best AI tools for< Design System Engineer >

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 for quicker time to market. Valispace assists in automating mundane and manual engineering tasks, saving engineering hours and enhancing collaboration among engineers and stakeholders.

Intervu is an AI-powered interview platform that helps users prepare for system design interviews. It offers unlimited True-to-Life system design interviews with AI, enriched with comprehensive feedback, to help users conquer system design challenges.

Hermae Solutions offers an AI Assistant for Enterprise Design Systems, providing onboarding acceleration, contractor efficiency, design system adoption support, knowledge distribution, and AI documentation assistance. The platform enables users to train custom AI assistants, boost frontend productivity with Storybook integration, and continuously improve AI profiles. Hermae Solutions aims to streamline engineering processes, enhance documentation, and facilitate knowledge sharing within organizations.

Magic Patterns is an AI tool that allows users to prototype product ideas using an AI-native editor. It enables users to iterate on components and designs, export to React or Figma, and generate new UIs effortlessly. Loved by designers, engineers, and product leaders, Magic Patterns streamlines the UI design process, making it easier to build products and iterate quickly.

Marblism is a platform that allows developers to quickly and easily launch React and Node.js applications. With Marblism, developers can generate the database schema, all the endpoints in the API, the design system, and even a few pages in the front-end. This can save developers a significant amount of time and effort, allowing them to focus on adding their unique touch to their applications.

Tempo Labs is an AI-powered platform that enables designers and developers to collaborate seamlessly using a single source of truth. With features like generating UI from simple text and image prompts, editing React code visually, importing components from Storybook, and more, Tempo aims to streamline the design and development process. It offers different pricing plans catering to various user needs, including a free tier and a premium Agent+ plan that provides personalized design and engineering services. Tempo Labs empowers users to build React apps 10x faster by leveraging AI technology for efficient design system management and code customization.

The Web App Builder by Unshift AI is an AI-powered platform designed to help users quickly and efficiently create fully functional web applications using modern JavaScript frameworks. With features like an advanced editor, support for various frameworks, and access to professionally written code, the platform streamlines the app development process and saves developers time. Users can easily customize design elements, manage content, and export their apps to different frameworks. The platform also offers AI-generated content, extensive component libraries, and a customizable design system to enhance app development. Overall, The Web App Builder is a comprehensive tool for building web applications with ease and efficiency.

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

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.

Wizi AI is a technical AI interviewer that helps employers evaluate hundreds of candidates with in-depth assessments. It goes beyond basic coding challenges and conducts an onsite interview experience for every candidate. Employers get actionable hiring signals with in-depth reports on system design, project implementation, domain expertise, and debugging skills. Wizi AI saves teams time by screening all candidates with AI and bringing only the best to onsites.

Fathom5 is a company that specializes in the intersection of AI and industrial systems. They offer a range of products and services to help customers build more resilient, flexible, and efficient industrial systems. Fathom5's approach is unique in that they take a security-first approach to cyber-physical system design. This means that security is built into every stage of the development process, from ideation to engineering to testing to deployment. This approach has been proven to achieve higher system resiliency and faster regulatory compliance at a reduced cost.

Eraser AI is an AI-powered copilot for technical design, offering an all-in-one markdown editor, collaborative canvas, and diagram-as-code builder. It enables engineering teams to create diagrams, design docs, and documentation collaboratively and efficiently. With features like robust file management, blazing fast file search, wikilinks & mentions, and GitHub integration, Eraser AI streamlines the process of visualizing infrastructure, data models, process flows, and logic flows. It provides a minimal tool design for maintaining flow and focus, version history for safety, and performance optimization for distraction-free work. Additionally, Eraser AI offers workflow integration, markdown formatting, export capabilities, and enterprise-grade security features, making it a trusted tool for technical teams worldwide.

Magimaker.com is a website that currently shows a connection timed out error (Error code 522) due to issues with Cloudflare. The site seems to be a platform that may offer services related to web hosting or server management. Users experiencing this error are advised to wait a few minutes and try again, or for website owners, to contact their hosting provider for assistance. The error indicates a timeout between Cloudflare's network and the origin web server, preventing the web page from being displayed.

The website displays a 404 error message indicating that the deployment cannot be found. It provides a code 'DEPLOYMENT_NOT_FOUND' and an ID 'sin1::zdhct-1723140771934-b5e5ad909fad'. Users are directed to refer to the documentation for further information and troubleshooting.

BISA AI Academy is an AI education platform offering online and offline courses with a variety of materials, professional instructors, and engaging learning paths. The platform provides over 100 free courses with certificates upon completion of quizzes and assignments. Additionally, there are premium master classes available, job training programs, and corporate training options. BISA AI Academy covers fields such as Data Science, IoT, Blockchain, and Programming, offering offline classes, special programs like Prakerja, webinars, and certification programs. The platform also provides solutions for IT services, AI intelligence, system development, and educational consulting.

ALIAgents.ai is a platform that enables users to create and monetize AI agents on the blockchain. Users can design and deploy their own AI agents for various tasks such as customer service, data analysis, and more. The platform provides tools and resources to facilitate the development and deployment of AI agents, allowing users to tap into the potential of AI technology in a decentralized and secure manner.

Microsoft is a leading technology company that develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and services. Its best-known software products are the Microsoft Windows operating system, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its hardware products include the Xbox video game consoles and the Surface tablet computers. Microsoft is also a major provider of cloud computing services through its Azure platform.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI & ML workloads as reliable and secure microservices. It offers powerful AI model serving and orchestration with unmatched simplicity, speed, and scale. UbiOps allows users to deploy models and functions in minutes, manage AI workloads from a single control plane, integrate easily with tools like PyTorch and TensorFlow, and ensure security and compliance by design. The platform supports hybrid and multi-cloud workload orchestration, rapid adaptive scaling, and modular applications with unique workflow management system.

DHTMLX is a JavaScript/HTML5 UI framework that offers a wide range of user-friendly AI chatbot and other UI components. It provides feature-rich libraries for project management, data analysis, content management, and more. DHTMLX is known for its easy customization, simple API, and extensive documentation, making it a popular choice for web developers worldwide.

Raycast is an AI-powered productivity tool that serves as a shortcut to everything on your Mac. It offers a collection of powerful productivity tools within an extendable launcher, designed to enhance efficiency and streamline workflows. With features like fast access to favorite tools, AI models, and extensions, Raycast aims to make users feel like they are never wasting time. The application is known for its speed, ergonomic design, reliability, and seamless integration with various tasks and applications.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

This repository serves as a personal knowledge base for the owner's reference and use. It covers a wide range of topics including cloud-native operations, Kubernetes ecosystem, networking, cloud services, telemetry, CI/CD, electronic engineering, hardware projects, operating systems, homelab setups, high-performance computing applications, openwrt router usage, programming languages, music theory, blockchain, distributed systems principles, and various other knowledge domains. The content is periodically refined and published on the owner's blog for maintenance purposes.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

Awesome_GPT_Super_Prompting is a repository that provides resources related to Jailbreaks, Leaks, Injections, Libraries, Attack, Defense, and Prompt Engineering. It includes information on ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, and Adversarial Machine Learning. The repository contains curated lists of repositories, tools, and resources related to GPTs, prompt engineering, prompt libraries, and secure prompting. It also offers insights into Cyber-Albsecop GPT Agents and Super Prompts for custom GPT usage.

Atomic Agents is a modular and extensible framework designed for creating powerful applications. It follows the principles of Atomic Design, emphasizing small and single-purpose components. Leveraging Pydantic for data validation and serialization, the framework offers a set of tools and agents that can be combined to build AI applications. It depends on the Instructor package and supports various APIs like OpenAI, Cohere, Anthropic, and Gemini. Atomic Agents is suitable for developers looking to create AI agents with a focus on modularity and flexibility.

ComposeAI is an Android & iOS application similar to ChatGPT, built using Compose Multiplatform. It utilizes various technologies such as Compose Multiplatform, Material 3, OpenAI Kotlin, Voyager, Koin, SQLDelight, Multiplatform Settings, Coil3, Napier, BuildKonfig, Firebase Analytics & Crashlytics, and AdMob. The app architecture follows Google's latest guidelines. Users need to set up their own OpenAI API key before using the app.

BlindChat is a confidential and verifiable Conversational AI tool that ensures user prompts remain private from the AI provider. It leverages privacy-enhancing technology called enclaves with the core solution, BlindLlama. BlindChat Local variant operates entirely in the user's browser, ensuring data never leaves the device. The tool provides cryptographic guarantees that user data is protected and not accessible to AI providers.

Recommenders is a project under the Linux Foundation of AI and Data that assists researchers, developers, and enthusiasts in prototyping, experimenting with, and bringing to production a range of classic and state-of-the-art recommendation systems. The repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. It covers tasks such as preparing data, building models using various recommendation algorithms, evaluating algorithms, tuning hyperparameters, and operationalizing models in a production environment on Azure. The project provides utilities to support common tasks like loading datasets, evaluating model outputs, and splitting training/test data. It includes implementations of state-of-the-art algorithms for self-study and customization in applications.

The 'jobs' repository by comma.ai focuses on solving self-driving cars by building a robotics stack that includes state-of-the-art machine learning models, operating system design, hardware development, and manufacturing. The company aims to deliver constant incremental progress in self-driving technology to users, with a focus on practical solutions rather than hype. Job opportunities at comma.ai include technical challenges, phone screenings, and paid micro-internships, with perks such as chef-prepared meals, on-site gym access, and health insurance. The teams at comma.ai are organized into web, systems, infrastructure, product, design, and electrical engineering, with specific challenges for each team. The repository also offers opportunities for non-job seekers to participate in challenges and win prizes.

The Cheat-Sheet Collection for DevOps, Engineers, IT professionals, and more is a curated list of cheat sheets for various tools and technologies commonly used in the software development and IT industry. It includes cheat sheets for Nginx, Docker, Ansible, Python, Go (Golang), Git, Regular Expressions (Regex), PowerShell, VIM, Jenkins, CI/CD, Kubernetes, Linux, Redis, Slack, Puppet, Google Cloud Developer, AI, Neural Networks, Machine Learning, Deep Learning & Data Science, PostgreSQL, Ajax, AWS, Infrastructure as Code (IaC), System Design, and Cyber Security.

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.

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.

ClearML Server is a backend service infrastructure for ClearML, facilitating collaboration and experiment management. It includes a web app, RESTful API, and file server for storing images and models. Users can deploy ClearML Server using Docker, AWS EC2 AMI, or Kubernetes. The system design supports single IP or sub-domain configurations with specific open ports. ClearML-Agent Services container allows launching long-lasting jobs and various use cases like auto-scaler service, controllers, optimizer, and applications. Advanced functionality includes web login authentication and non-responsive experiments watchdog. Upgrading ClearML Server involves stopping containers, backing up data, downloading the latest docker-compose.yml file, configuring ClearML-Agent Services, and spinning up docker containers. Community support is available through ClearML FAQ, Stack Overflow, GitHub issues, and email contact.

HuggingLLM is a project that aims to introduce ChatGPT to a wider audience, particularly those interested in using the technology to create new products or applications. The project focuses on providing practical guidance on how to use ChatGPT-related APIs to create new features and applications. It also includes detailed background information and system design introductions for relevant tasks, as well as example code and implementation processes. The project is designed for individuals with some programming experience who are interested in using ChatGPT for practical applications, and it encourages users to experiment and create their own applications and demos.

The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.

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.

Awesome-AI-Agents is a curated list of projects, frameworks, benchmarks, platforms, and related resources focused on autonomous AI agents powered by Large Language Models (LLMs). The repository showcases a wide range of applications, multi-agent task solver projects, agent society simulations, and advanced components for building and customizing AI agents. It also includes frameworks for orchestrating role-playing, evaluating LLM-as-Agent performance, and connecting LLMs with real-world applications through platforms and APIs. Additionally, the repository features surveys, paper lists, and blogs related to LLM-based autonomous agents, making it a valuable resource for researchers, developers, and enthusiasts in the field of AI.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

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.

Expert in Technical Design System Foundations and Components

Informative expert on pumps and water systems

Assists in creating OpenAPI schemas for GPT.

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

I conduct mock system design interviews.

A System Architect Coach guiding you through system design principles and best practices. Explains CAP theorem like no one else

Mimics top tech companies' system design interviews

Expert in system design best practices for cloud solutions

Create UML for flowcharts, Class, Sequence, Use Case, and Activity diagrams using PlantUML. System design and cloud infrastructure diagrams for AWS, Azue and GCP. No login required.

Expert in backend/system design for scalable and secure web applications.

Get into FAANG. Practice with an AI expert in algorithms, data structures, and system design. Do a mock interview and improve.

Checks through Embedded System Datasheet and Suggest Source Codes

Expert in CanSat guidance based on a specific document

Expert on Computer Organization and Architecture

Ada Programming Language expert.

Advanced GPT for pump solutions, powered by OpenAI.

Guides thermal management solutions for efficient system performance.

Aids in RF system analysis and antenna optimization.

Expert in programming, system admin, and design - OZ

A tool for designing nanocarrier systems, tailored to drugs and patient profiles.