Best AI tools for< System Engineer >

Pieces is an on-device AI coding assistant that boosts developer productivity by providing contextual understanding of the entire workflow. It offers features like leveraging real-time context, using advanced AI models, applying hyper-relevant context to conversations, deep integrations within tools, air-gapped security, and more. Pieces is designed to simplify coding processes, enhance code generation, and streamline developer workflows.

Somoon.ai is an AI-powered platform that specializes in analyzing job postings from both startups and large corporations to provide tailored analysis services. With accumulated insights from 525 companies and 39,764 job postings, Somoon.ai offers curated content related to SaaS, domestic game companies, startups, AI companies, well-known corporations, and more. The platform aims to accelerate digital transformation, enhance productivity, and efficiency in businesses by offering innovative solutions and services.

Outsight is an AI application that utilizes LiDAR technology to provide end-to-end passenger journey tracking, enhance airport operations, improve security solutions, and transform various industries. The application offers high-accuracy, all-weather monitoring, reduces false alarms, and enhances perimeter and access control. Outsight collaborates with industry leaders to deliver unprecedented solutions in the field of Spatial AI, making spaces truly smart and revolutionizing the way we perceive reality.

OpenBuckets is a web application designed to help users find and secure open buckets in cloud storage systems. It provides a simple and efficient way to identify publicly accessible storage buckets, allowing users to take necessary actions to protect their data and maintain security. With OpenBuckets, users can easily scan cloud storage systems for open buckets and receive alerts for any potential security risks. The application aims to enhance data privacy and security by empowering users to proactively manage their cloud storage configurations.

PredictOPs is an advanced AIOps platform powered by Gen-AI technology, redefining Operations Management with cutting-edge solutions. The platform offers real-time monitoring, actionable insights, alert correlation, microservice management, anomaly detection, and infrastructure log behavior analysis. It leverages adaptive algorithms and early warning systems to provide proactive solutions for failure rate analysis and trend identification. PredictOPs is scalable, reliable, and integrates Gen-AI for cognitive insights beyond traditional AIOps capabilities.

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.

The website offers Full-Stack Cloud Observability services with a focus on Middleware. It provides comprehensive monitoring and analysis tools for cloud-based applications, allowing users to gain insights into the performance and health of their middleware components. With a user-friendly interface and advanced features, it helps organizations optimize their cloud infrastructure and enhance overall system reliability.

AIM is an AI application that transforms existing heavy equipment into an autonomous fleet, enhancing safety and productivity in mining and construction operations. The AIM Technology Platform offers a plug-and-play solution for various heavy equipment fleets, enabling partners to transition to autonomous operation seamlessly. With real-time KPI data delivery and rigorous safety measures, AIM ensures maximally safe and efficient operations, with ground staff out of harm's way. The application is developed by a team with expertise in heavy industries, robotics, and advanced AI, ensuring cutting-edge solutions for the industry.

Hoop.dev is an AI-powered application that provides live data masking in Rails console sessions. It offers shielded Rails console access, automated employee onboarding and off-boarding, and AI data masking to protect sensitive information. The application allows for passwordless authentication via Google SSO with MFA, auditability of console operations, and compliance with various security controls and regulations. Hoop.dev aims to streamline Rails console operations, reduce manual workflows, and enhance security measures for user convenience and data protection.

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.

medium.engineering is a website that focuses on verifying the security of user connections before allowing access to the site. It ensures that users are human by conducting a verification process that may take a few seconds. The site emphasizes the importance of enabling JavaScript and cookies for a seamless browsing experience. Powered by Cloudflare, medium.engineering prioritizes performance and security for its users.

Asaria Industries is an AI application that focuses on building intelligent systems to transform industries. They offer system architecture and AI integration services to help modernize enterprise infrastructure and implement intelligent decision systems. With expertise in engineering scalable foundations for complex systems, Asaria Industries aims to turn visions into reality through innovative solutions.

JustCall is an AI-powered customer communication platform designed for customer-facing teams. It offers a suite of AI solutions such as Conversation Intelligence, AI Coaching, Automatic Call Scoring, Agent Assist, SMS Copilot, Agent Analytics, Call Transcription, Moment Analysis, and Sentiment Analysis. JustCall helps businesses enhance agent productivity, drive customer delight, and improve overall communication efficiency. The platform integrates with various CRM systems and offers features like Outbound Call Center, Inbound Contact Center, Business Phone System, IVR (Call Menu), Call Forwarding, Sales Dialer, Call Recording, Advanced Analytics, and more. JustCall is trusted by over 6,000 businesses worldwide for its AI-driven communication solutions.

Developer Roadmaps (roadmap.sh) is a community-driven platform offering official roadmaps, guides, projects, best practices, questions, and videos to assist developers in skill development and career growth. It provides role-based and skill-based roadmaps covering various technologies and domains. The platform is actively maintained and continuously updated to enhance the learning experience for developers worldwide.

Jex is an AI-driven platform that revolutionizes global hiring by cutting out middlemen and providing transparency and efficiency in the recruitment process. It empowers both talent and companies to connect directly, eliminating salary markups and hidden fees. Jex offers dynamic candidate profiles, AI-driven insights, compliance management, and payroll services, streamlining the hiring workflow and saving time and money for users.

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.

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.

Futr Energy is a solar asset management platform designed to help manage solar power plants efficiently. It offers a range of tools and features such as remote monitoring, CMMS, inventory management, performance monitoring, and automated reports. Futr Energy aims to provide clean energy developers, operators, and investors with intelligent solutions to optimize the generation and performance of solar assets.

Translatespace is a cloud-based translation management system that helps businesses of all sizes to translate their content into multiple languages. It offers a wide range of features, including machine translation, human translation, project management, and terminology management. Translatespace is easy to use and can be integrated with a variety of other business applications.

Vidura is a prompt management system integrated with multiple AI systems, designed to enhance the Generative AI user experience. It allows users to compose, organize, share, and export AI prompts efficiently. With features like prompt categorization, built-in templates, prompt history audit, and community sharing, Vidura aims to simplify the process of generating text and image responses with AI.

ScaleLLM is a cutting-edge inference system engineered for large language models (LLMs), meticulously designed to meet the demands of production environments. It extends its support to a wide range of popular open-source models, including Llama3, Gemma, Bloom, GPT-NeoX, and more. ScaleLLM is currently undergoing active development. We are fully committed to consistently enhancing its efficiency while also incorporating additional features. Feel free to explore our **_Roadmap_** for more details. ## Key Features * High Efficiency: Excels in high-performance LLM inference, leveraging state-of-the-art techniques and technologies like Flash Attention, Paged Attention, Continuous batching, and more. * Tensor Parallelism: Utilizes tensor parallelism for efficient model execution. * OpenAI-compatible API: An efficient golang rest api server that compatible with OpenAI. * Huggingface models: Seamless integration with most popular HF models, supporting safetensors. * Customizable: Offers flexibility for customization to meet your specific needs, and provides an easy way to add new models. * Production Ready: Engineered with production environments in mind, ScaleLLM is equipped with robust system monitoring and management features to ensure a seamless deployment experience.

Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback. It generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Implemented as a PyTorch-like Python library, users can write Python code directly and use Trace primitives to optimize certain parts, similar to training neural networks.

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.

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

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.

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.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

The LLM Engineer's Handbook is an official repository containing a comprehensive guide on creating an end-to-end LLM-based system using best practices. It covers data collection & generation, LLM training pipeline, a simple RAG system, production-ready AWS deployment, comprehensive monitoring, and testing and evaluation framework. The repository includes detailed instructions on setting up local and cloud dependencies, project structure, installation steps, infrastructure setup, pipelines for data processing, training, and inference, as well as QA, tests, and running the project end-to-end.

Bedrock Engineer is an AI assistant for software development tasks powered by Amazon Bedrock. It combines large language models with file system operations and web search functionality to support development processes. The autonomous AI agent provides interactive chat, file system operations, web search, project structure management, code analysis, code generation, data analysis, agent and tool customization, chat history management, and multi-language support. Users can select agents, customize them, select tools, and customize tools. The tool also includes a website generator for React.js, Vue.js, Svelte.js, and Vanilla.js, with support for inline styling, Tailwind.css, and Material UI. Users can connect to design system data sources and generate AWS Step Functions ASL definitions.

Bedrock Engineer is an autonomous software development agent application that utilizes Amazon Bedrock. It allows users to customize, create/edit files, execute commands, search the web, use a knowledge base, utilize multi-agents, generate images, and more. The tool provides an interactive chat interface with AI agents, file system operations, web search capabilities, project structure management, code analysis, code generation, data analysis, agent and tool customization, chat history management, and multi-language support. Users can select and customize agents, choose from various tools like file system operations, web search, Amazon Bedrock integration, and system command execution. Additionally, the tool offers features for website generation, connecting to design system data sources, AWS Step Functions ASL definition generation, diagram creation using natural language descriptions, and multi-language support.

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.

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.

This open-source course teaches how to build an advanced RAG and LLM system using LLMOps and ML systems best practices. It helps you create an AI assistant that leverages your personal knowledge base to answer questions, summarize documents, and provide insights. The course covers topics such as LLM system architecture, pipeline orchestration, large-scale web crawling, model fine-tuning, and advanced RAG features. It is suitable for ML/AI engineers and data/software engineers & data scientists looking to level up to production AI systems. The course is free, with minimal costs for tools like OpenAI's API and Hugging Face's Dedicated Endpoints. Participants will build two separate Python applications for offline ML pipelines and online inference pipeline.

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.

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.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

r2ai is a tool designed to run a language model locally without internet access. It can be used to entertain users or assist in answering questions related to radare2 or reverse engineering. The tool allows users to prompt the language model, index large codebases, slurp file contents, embed the output of an r2 command, define different system-level assistant roles, set environment variables, and more. It is accessible as an r2lang-python plugin and can be scripted from various languages. Users can use different models, adjust query templates dynamically, load multiple models, and make them communicate with each other.

Kumo search is an end-to-end search engine framework that supports full-text search, inverted index, forward index, sorting, caching, hierarchical indexing, intervention system, feature collection, offline computation, storage system, and more. It runs on the EA (Elastic automic infrastructure architecture) platform, enabling engineering automation, service governance, real-time data, service degradation, and disaster recovery across multiple data centers and clusters. The framework aims to provide a ready-to-use search engine framework to help users quickly build their own search engines. Users can write business logic in Python using the AOT compiler in the project, which generates C++ code and binary dynamic libraries for rapid iteration of the search engine.

制定和实施质量管理体系；审核和改进质量管理体系；培训和指导员；处理质量问题；与其他部门协调；持续改进

Expert in Technical Design System Foundations and Components

This GPT matches between system or application to it's relevant clauses in military standards. You can simply ask any question or state your system

A Rust language coding assistant.

Aids in RF system analysis and antenna optimization.

Guides thermal management solutions for efficient system performance.

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

Put your prompt engineering skills to the ultimate test! Embark on a journey to outwit a mythical guardian of ancient secrets. Try to extract the secret passphrase hidden in the system prompt and enter it in chat when you think you have it and claim your glory. Good luck!

Expert in AiOS integration, technical troubleshooting, and IP rights management.

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

Expert in GPT infrastructure and network systems.

Expert on VR systems, setup, and troubleshooting

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

Mimics top tech companies' system design interviews

Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.

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.

Checks through Embedded System Datasheet and Suggest Source Codes

Advises on thermodynamics processes to optimize system efficiency.

I review system designs and suggest ideal architectures.