Best AI tools for< review engineering plans >

Remy is an AI-powered security review platform that helps organizations identify and mitigate product security risks early in the development process. It uses machine learning to analyze engineering plans, tickets, and other documentation to identify potential vulnerabilities and compliance issues. Remy also automates the review process, saving teams time and effort. Remy's key features include: * **Automatic discovery and triage of risky engineering plans:** Remy uses machine learning to identify engineering plans that could potentially introduce security risks. This helps organizations prioritize their security reviews and focus on the most critical issues. * **Automated review initiation and streamlined communication:** Remy automates the review initiation process and sends dynamic kick-off questions to engineering teams. This ensures that reviews are started promptly and that all necessary information is gathered. * **AI-generated questions and recommendations:** Remy uses AI to generate pertinent questions and recommendations based on the context of the engineering plan. This helps reviewers identify potential risks and vulnerabilities that they might otherwise miss. * **Clear metrics and audit trails:** Remy provides clear metrics and audit trails that show the review coverage and risk profile of every team. This helps organizations track their progress and demonstrate the value of their security reviews. * **Enterprise-ready SSO for convenient logins:** Remy supports SAML 2.0 SSO out of the box, making it easy for employees to log in and access the platform. Remy's advantages include: * **Reduced cost:** Remy can help organizations reduce the cost of security reviews by automating the process and identifying risks early in the development process. * **Reduced risk:** Remy helps organizations reduce risk by providing full visibility of engineering work being planned. This helps organizations identify and mitigate potential vulnerabilities before they can be exploited. * **Saved time:** Remy saves teams time by automating the review process and providing AI-generated questions and recommendations. * **Improved compliance:** Remy helps organizations improve compliance by providing clear metrics and audit trails that show the review coverage and risk profile of every team. * **Enhanced collaboration:** Remy enhances collaboration between security and engineering teams by providing a central platform for communication and review. Remy's disadvantages include: * **May not be suitable for all organizations:** Remy is best suited for organizations with a large number of engineering projects and a need for automated security reviews. * **May require some customization:** Remy may require some customization to integrate with an organization's existing processes and tools. * **May not replace human reviewers:** Remy is not a replacement for human reviewers. It is a tool that can help reviewers identify potential risks and vulnerabilities, but it cannot make decisions or provide recommendations on its own. Here are some frequently asked questions about Remy: * **What’s the benefit of using Remy over taking inbound review requests?** * It comes down to coverage. Inbound reviews from relationships with engineers is excellent, but it leaves you without coverage guarantees. With Remy, you will have awareness of every risky engineering project in the pipeline, not just the ones that engineers clue you in on. * **Will you sell our data?** * No. We will never sell your data, or use your data to train models for other customers. * **Is this a threat modeling tool?** * It depends on what you mean by threat modeling. We do not believe in pushing complicated and cumbersome data flow diagram requirements on engineering teams, or going through tedious threat modeling frameworks manually. So from that perspective, Remy is not a threat modeling tool. Instead, Remy works by using the documentation already available, and asking highly specific questions based on that information. So in the basic sense, yes! Remy is a tool that helps you figure out what is being worked on, what could go wrong, what’s being done to prevent it, and how good of a job was done. * **How will Remy impact the relationships we’ve built with engineering teams?** * Positively, or not at all. Remy is not built to reduce your communications to robotic and transactional workflows. Rather, our goal is to augment your existing relationships and processes by automating only the more rote and tedious parts. * **Is there really enough information in tickets and specs to do reviews on?** * Yes! Although no two companies are the same, in our experience security teams are often surprised by the level of documentation available that they just never get access to. Still, sometimes there just isn’t enough, and Remy handles that situation too by simply asking follow-up questions to cover the missing information. * **Can Remy replace security architects?** * No. Remy is a tool that augments security engineers and architects, but we don’t replace them. Although Remy is highly appropriate for helping product teams self-serve low risk reviews, we reserve high-risk reviews for the experts, and instead ensure Remy is there for support and automating tedium.

Trag is an AI-powered tool designed to review pull requests in minutes, empowering engineering teams to save time and focus on building products. With Trag, users can create custom patterns for code review, ensuring best practices are followed and bugs are caught early. The tool offers features like autofix with AI, monitoring progress, connecting multiple repositories, pull request review, analytics, and team workspaces. Trag stands out from traditional linters by providing complex code understanding, semantic code analysis, predictive bug detection, and refactoring suggestions. It aims to streamline code reviews and help teams ship faster with AI-powered reviews.

PullRequest is an AI-powered code review as a service platform that offers on-demand code review from expert engineers enhanced by AI. It supports all languages and frameworks, helping development teams of any size ship better, more secure code faster through AI-assisted code reviews. PullRequest integrates with popular version control platforms like GitHub, GitLab, Bitbucket, and Azure DevOps, providing valuable knowledge sharing with senior engineers to improve code quality and security. The platform ensures code safety and security by adhering to best practices, strict procedures, and employing reviewers based in the US, the UK, or Canada.

EV Intersection is a website that provides information on electric vehicles. The website includes a searchable database of electric vehicles, as well as news and articles about the latest developments in the electric vehicle industry. EV Intersection also offers a variety of tools to help users compare electric vehicles and make informed decisions about which vehicle is right for them.

Taiga is an AI-powered coding mentor that integrates with Slack. It provides real-time feedback, guidance, and tailored recommendations to help users learn software engineering in a fun and interactive way. Taiga offers a wide range of features, including step-by-step guidance, real-time answers, personalized learning experiences, seamless Slack integration, and accessibility on multiple devices.

GeniA is an open-source engineering Gen AI team member that can be embedded in your everyday and production environments. It is built with enterprise-grade engineering tools under the most challenging security standards and can be accessed right in your team's Slack channel. GeniA can assist with a variety of tasks, including code generation, debugging, and testing.

Trifacta API Documentation provides reference information on all of the available endpoints for each product edition. This website does not factor disabled features or your specific account permissions. To review API documentation for the endpoints to which your account has access, please select Help menu > API Documentation from the Trifacta application menu.

arXiv.org is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

Valispace is an AI-powered systems and requirements engineering tool that streamlines the entire engineering process, from requirements engineering to system design, test, verification, and validation. It enables fast engineering iterations for quicker time to market and modernizes classic engineering practices from initial product specification and requirements gathering right through to verifications and reviews.

Review Bomb Me is an AI-powered software that helps businesses convert negative reviews into constructive and positive ones. It uses AI to summarize reviews and add them to a dashboard, where businesses can monitor how their Review Bomb is going. Review Bomb Me also provides businesses with a personal user analytics dashboard, so they can see who is engaging with their content and where they are coming from.

Art Review Generator is a natural language processing tool and text generator that generates and analyzes language used to describe art and culture. It takes a set of words as a prompt and then generates a medium length set of sentences that approximate the training data, which is 57 years of art reviews from Artforum. The interpreter has no idea what the prompt or the training data mean. What it does have is a billion examples of what words get used next to each other in typical sentences. It generates new text based on deep matrices of probability.

Airbnb Review Summarizer is a Chrome extension that helps you summarize Airbnb listing reviews. It uses GPT-3, a large language model, to generate summaries that are simple, personal, and useful. The extension is easy to use. Simply install it and then click the "Summarize" button on any Airbnb listing page. The extension will then generate a summary of the reviews for that listing.

MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impact.

MIT Sloan Management Review is a leading source of information and ideas on management, innovation, and leadership. The website provides articles, case studies, videos, and podcasts on a wide range of topics, including artificial intelligence, data analytics, digital transformation, and sustainability. The website also offers a variety of resources for educators, students, and business professionals.

Applicant AI is an AI-powered applicant tracking system (ATS) that helps recruiters screen and rank job applicants 10x faster. It uses AI to analyze resumes and cover letters, and identify the candidates who are the best fit for the job. Applicant AI is used by over 134 companies and 7,680 applicants, and has been featured in Forbes, TechCrunch, and The Wall Street Journal.

Krock.io is a cloud-based video review and collaboration platform designed specifically for the video creation industry. It offers a range of features to help video producers, creative agencies, and game designers streamline their workflow and improve collaboration. With Krock.io, users can easily upload and share videos for review, add visual comments and annotations, and track the progress of projects. The platform also includes a range of integrations with other popular video editing and production tools, making it easy to incorporate Krock.io into existing workflows.

MARA is an AI-powered review management tool that helps businesses respond to and analyze their reviews. It offers a range of features to make review management easier and more efficient, including a review inbox, review analytics, AI review reply generator, smart snippets, and brand voice. MARA is used by over 2000 businesses of all sizes, including hotels, restaurants, and other hospitality businesses.

Paxton is an AI-driven legal software platform designed to revolutionize the way legal professionals handle tasks such as contract review, document drafting, and legal research. It utilizes advanced artificial intelligence, including proprietary Legal Language Models, to automate and enhance these processes, improving accuracy, efficiency, and driving innovation across a wide range of applications.

Wisedocs is an AI-powered platform that specializes in medical record reviews, summaries, and insights for claims processing. The platform offers intelligent features such as medical chronologies, workflows, deduplication, intelligent OCR, and insights summaries. Wisedocs streamlines the process of reviewing medical records for insurance, legal, and independent medical evaluation firms, providing speed, accuracy, and efficiency in claims processing. The platform automates tasks that were previously laborious and error-prone, making it a valuable tool for industries dealing with complex medical records.

GINIX is a free online review management platform that leverages AI technologies to help businesses monitor, analyze, and respond to reviews across various platforms. It offers features such as search and monitoring of reviews, alerts for new reviews, and analytics to track review sentiment and impact on revenue. GINIX aims to simplify the process of managing online reviews, boosting revenue by 35% and reducing negative reviews by 70%. The platform automates the review monitoring process, providing insights on customer feedback and helping businesses expand their customer base.

Tegon is an open-source AI-First issue tracking tool designed for engineering teams. It aims to simplify task management by leveraging AI and integrations to automate task creation, prioritize tasks, and enhance bug resolution. Tegon offers features like issues tracking, automatic title generation, AI-generated labels and assignees, custom views, and upcoming features like sprints and task prioritization. It integrates with GitHub, Slack, and Sentry to streamline issue tracking processes. Tegon also plans to introduce AI Agents like PR Agent and Bug Agent to enhance product management and bug resolution. Contributions are welcome, and the product is licensed under the MIT License.

Plandex is an open source, terminal-based AI coding engine designed for complex tasks. It uses long-running agents to break up large tasks into smaller subtasks, helping users work through backlogs, navigate unfamiliar technologies, and save time on repetitive tasks. Plandex supports various AI models, including OpenAI, Anthropic Claude, Google Gemini, and more. It allows users to manage context efficiently in the terminal, experiment with different approaches using branches, and review changes before applying them. The tool is platform-independent and runs from a single binary with no dependencies.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

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

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

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?

**Advising App™** is a software solution created by Canyon GBS™ that includes a robust personal assistant designed to support student service professionals in their day-to-day roles. The assistant can help with research tasks, draft communication, language translation, content creation, student profile analysis, project planning, ideation, and much more. The software also includes a student service CRM designed to support the management of prospective and enrolled students. Key features of the CRM include record management, email and SMS, service management, caseload management, task management, interaction tracking, files and documents, and much more.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

The collection is actively updated with the help of an internal literature search engine.

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)

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

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