Best AI tools for< requirements engineer >

Valispace is an AI-powered platform for Systems and Requirements Engineering 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. Valispace assists in removing mundane and manual engineering tasks, saving time and enhancing collaboration among engineers and stakeholders.

DevOps Security Platform is an AI-native security tool designed to automate security requirements definition, enforcement, risk assessments, and threat modeling. It helps companies secure their applications by identifying risks early in the Software Development Lifecycle and enforcing security controls effectively. The platform offers innovative features, AI-generated questionnaires, and the ability to customize, automate, and integrate security processes. DevOps Security Platform aims to empower security champions and prevent security vulnerabilities through a centralized platform.

RealEngineers is an innovative AI-powered job platform that revolutionizes the engineering hiring process. Unlike traditional job sites, it focuses on detailed project-based profiles instead of resumes, leveraging AI to match skills and experiences with job requirements. The platform allows engineers to compete authentically for hiring manager attention and empowers employers to evaluate their candidate pool efficiently. RealEngineers aims to provide a transparent and fair recruitment process for both candidates and employers.

The Intel Gaudi AI accelerator developer website provides resources, guidance, tools, and support for building, migrating, and optimizing AI models. It offers software, model references, libraries, containers, and tools for training and deploying Generative AI and Large Language Models. The site focuses on the Intel Gaudi accelerators, including tutorials, documentation, and support for developers to enhance AI model performance.

ResumeDive is an AI-driven tool designed to enhance resumes and optimize job application processes. It provides personalized feedback, job-specific action items, pros and cons analysis, tailored cover letters, and salary estimation. Users can improve their resume by tailoring skills to job descriptions, meeting ATS standards, and impressing recruiters. The tool offers free audits and affordable credit-based pricing options for users to access its features.

UpCodes is a searchable platform that provides access to building codes, assemblies, and building products libraries. Users can easily search and navigate through various building regulations and standards to ensure compliance with the latest codes. The platform offers a comprehensive database of information related to construction and architecture, making it a valuable resource for professionals in the industry.

Works is a platform that connects enterprises with the top 1% of remote tech talent. It uses advanced AI technology to ensure precision-matching of talent to project requirements, saving time and resources. Works offers transparent pricing with a flat 10% transaction fee and provides risk-free hiring with payment only when the work is completed to satisfaction.

Crowdbotics is an AI-powered platform that leverages systematic code reuse to help users build applications faster and with reduced risk. The platform uses AI to improve the process of defining app requirements, link reusable code modules with app requirements, assemble code modules into a nearly complete app, and develop differentiating features. Crowdbotics aims to transform the software development lifecycle by enabling successful code reuse through its CodeOps approach.

VibePrompts is an online marketplace where users can buy and sell prompts for various AI models and tools. The platform offers a wide range of prompts tailored to different niches, including art and illustrations, logos and icons, graphics and design, productivity and writing, marketing and business, photography, games and 3D. Users can browse through the collection of prompts, select and customize them to fit their specific requirements, and then activate and engage them in their desired application or platform.

PaceAI is an AI companion for non-technical IT professionals to generate, analyze, and simplify technical documentation. It uses advanced natural language processing to understand user requirements and automatically generate clear, concise technical documentation tailored to specific projects. The application offers 35+ powerful AI tools optimized for IT work, including user story generation, requirements generation, flowchart creation, and product vision generation. PaceAI aims to save time for IT professionals by streamlining documentation processes and enabling better collaboration with stakeholders.

Teleport is a modern access platform for infrastructure that provides on-demand, least privileged access with a focus on cryptographic identity and zero trust. It helps improve engineer productivity, protect infrastructure, meet compliance requirements, and prevent identity provider compromise. Teleport offers a unified experience for accessing and securing infrastructure across clouds and data centers.

CoverLetterGPT is an AI-powered tool that helps job seekers create professional and tailored cover letters in seconds. With its advanced algorithms and vast database of industry-specific phrases and keywords, CoverLetterGPT can generate cover letters that are optimized for Applicant Tracking Systems (ATS) and tailored to the specific requirements of each job application.

CoverLetterWrite is an AI-powered cover letter writer that helps you create personalized and compelling cover letters that stand out from the crowd. With CoverLetterWrite, you can easily tailor your cover letter to the specific requirements of each job you apply for, increasing your chances of getting noticed by potential employers.

ChatBotKit offers a suite of innovative conversational AI solutions designed to meet your unique needs. Our solutions are crafted with precision, leveraging cutting-edge technology to enhance communication and collaboration. With ChatBotKit, you can explore a range of AI-powered applications, including ReadAround, Colabo, and Algo, each tailored to specific requirements.

Coverler is an AI-powered cover letter generator that helps job seekers create unique and tailored cover letters for every job application. With Coverler, you can simply provide your resume and the job description, and the AI will generate a cover letter that highlights your relevant skills and experience, and matches the specific requirements of the job you're applying for. Coverler's AI technology ensures that your cover letter is not only unique and relevant, but also error-free and well-written.

U-xer is an innovative automation tool developed by Quality Museum Software Testing Services. It is designed to meet a broad range of needs, including Robotic Process Automation (RPA), test automation, and bot development. Crafted with user flexibility in mind, U-xer aims to be a user-friendly solution for your automation requirements! U-xer's unique screen recognition models interpret screens in the same way that humans do. This enables non-technical users to automate simple tasks, while allowing advanced users to tackle more complex tasks with ease. With U-xer, you can automate anything, anywhere, whether it's Web or Desktop. U-xer works seamlessly across all platforms with just a screenshot. Unlike other tools, U-xer interprets screens just like a human does, enabling more natural and accurate automation of a wide range of tasks.

Best Resume AI is an AI-powered resume improver that helps you tailor your resume to any job posting with perfect accuracy. It uses a multipoint system to amplify your resume so it gets past the digital gatekeepers with custom saturation methods, AI intents and deep understanding of industry. Our AI technology aligns your strengths and skills with the specific job requirements, making your resume more noticeable and effective.

AEye is a leading provider of software-defined lidar solutions for autonomous applications. Our 4Sight Intelligent Sensing Platform provides accurate, reliable, and real-time perception data to enable safer and more efficient navigation. AEye's lidar products are designed to meet the unique requirements of automotive, trucking, and smart infrastructure applications.

Code Generator for Arduino is an AI-powered tool that allows users to easily generate code for Arduino projects. The website uses GPT-3.5-turbo, OpenAI's large-scale language-generation model, to create code snippets for Arduino devices. Users can input their project requirements, and the tool generates the corresponding Arduino code. It is essential to review the generated code before uploading it to any hardware devices to ensure accuracy and functionality. Code Generator for Arduino is not affiliated with Arduino SA but provides a convenient solution for Arduino enthusiasts to streamline their coding process.

DraftAid is an AI-powered drawing automation tool that streamlines the fabrication drawing process, reducing the time from weeks to minutes. It integrates seamlessly with existing CAD software and offers extensive customization options to align with specific project requirements, delivering consistently accurate and high-quality drawings.

AI Agents Framework is a .NET framework built on Semantic Kernel and Orleans for creating and hosting event-driven AI Agents. It is currently in an experimental phase and not recommended for production use. The framework aims to automate requirements engineering, planning, and coding processes using event-driven agents.

An opinionated .NET framework, that is built on top of Semantic Kernel and Orleans, which helps creating and hosting event-driven AI Agents.

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)

MetaGPT is a multi-agent framework that enables GPT to work in a software company, collaborating to tackle more complex tasks. It assigns different roles to GPTs to form a collaborative entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories, competitive analysis, requirements, data structures, APIs, documents, etc. Internally, MetaGPT includes product managers, architects, project managers, and engineers. It provides the entire process of a software company along with carefully orchestrated SOPs. MetaGPT's core philosophy is "Code = SOP(Team)", materializing SOP and applying it to teams composed of LLMs.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

DevOpsGPT is an AI-driven software development automation solution that combines Large Language Models (LLM) with DevOps tools to convert natural language requirements into working software. It improves development efficiency by eliminating the need for tedious requirement documentation, shortens development cycles, reduces communication costs, and ensures high-quality deliverables. The Enterprise Edition offers features like existing project analysis, professional model selection, and support for more DevOps platforms. The tool automates requirement development, generates interface documentation, provides pseudocode based on existing projects, facilitates code refinement, enables continuous integration, and supports software version release. Users can run DevOpsGPT with source code or Docker, and the tool comes with limitations in precise documentation generation and understanding existing project code. The product roadmap includes accurate requirement decomposition, rapid import of development requirements, and integration of more software engineering and professional tools for efficient software development tasks under AI planning and execution.

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.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Superlinked is a compute framework for information retrieval and feature engineering systems, focusing on converting complex data into vector embeddings for RAG, Search, RecSys, and Analytics stack integration. It enables custom model performance in machine learning with pre-trained model convenience. The tool allows users to build multimodal vectors, define weights at query time, and avoid postprocessing & rerank requirements. Users can explore the computational model through simple scripts and python notebooks, with a future release planned for production usage with built-in data infra and vector database integrations.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

Devika is an advanced AI software engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika utilizes large language models, planning and reasoning algorithms, and web browsing abilities to intelligently develop software. Devika aims to revolutionize the way we build software by providing an AI pair programmer who can take on complex coding tasks with minimal human guidance. Whether you need to create a new feature, fix a bug, or develop an entire project from scratch, Devika is here to assist you.

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.

ReEdgeGPT is a tool designed for reverse engineering the chat feature of the new version of Bing. It provides documentation and guidance on how to collect and use cookies to access the chat feature. The tool allows users to create a chatbot using the collected cookies and interact with the Bing GPT chatbot. It also offers support for different modes like Copilot and Bing, along with plugins for various tasks. The tool covers historical information about Rome, the Lazio region, and provides troubleshooting tips for common issues encountered while using the tool.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

DataDreamer is an advanced toolkit designed to facilitate the development of edge AI models by enabling synthetic data generation, knowledge extraction from pre-trained models, and creation of efficient and potent models. It eliminates the need for extensive datasets by generating synthetic datasets, leverages latent knowledge from pre-trained models, and focuses on creating compact models suitable for integration into any device and performance for specialized tasks. The toolkit offers features like prompt generation, image generation, dataset annotation, and tools for training small-scale neural networks for edge deployment. It provides hardware requirements, usage instructions, available models, and limitations to consider while using the library.

I'm a Python and PyTorch expert with knowledge of ML infrastructure requirements ready to help you build and scale your ML projects.

Drop in any requirements ; I'll reduces ambiguity using requirement health check

I'll help you write cybersecurity requirements!

Drop your requirements here and we'll Simply input, analyze, and refine for corner case detection!

Helps you identify your requirements for the development of a custom nocode Operating System

Discover AI Chrome extensions simply by typing your requirements. Fast, customised, and readily deployable!

Drop in any requirements or any text ; I'll help you create an MVP with insights.

This tool is designed to locate the ideal GPT model tailored to your specific requirements. Simply articulate your needs, and it will diligently work to identify the perfect GPT solution for you.

Generates Angular components based on requirements, with a focus on code-first responses.

With simple prompts, AIProductGPT instantly crafts detailed AI-powered requirements (PRD) and mocks so that you team can hit the ground running

I generate concise Chakra UI code from UI images or requirements.

Overleaf GPT is an interactive assistant for writing detailed Overleaf documents. Overleaf GPT writes complete LaTeX reports, tailored to the user’s requirements. This GPT starts with conceptualizing the structure to iteratively developing the content and providing best-practice formatting in LaTeX.

对软件的功能点进行细化

Expert on IAEA Safety Standards

This GPT writes tickets for software features. It uses Gherkin to specify scenarios. @cxmacedo

I create PRDs from your meeting transcripts and discussions.

I explain Microsoft Product Terms.

This GPT will help any business developer write their own technical Statement of Work.

Generates PRDs matching the user's input language.

提交您的需求，我可以帮助您搭建针对性的GPTs