Best AI tools for< Technical Architect >

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.

Storia AI is an AI tool designed to assist software engineering teams in understanding and generating code. It provides a Perplexity-like chat experience where users can interact with an AI expert that has access to the latest versions of open-source software. The tool aims to improve code understanding and generation by providing responses backed with links to implementations, API references, GitHub issues, and more. Storia AI is developed by a team of natural language processing researchers from Google and Amazon Alexa, with a mission to build the most reliable AI pair programmer for engineering teams.

Zevo.ai is an AI-powered code visualization tool designed to accelerate code comprehension, deployment, and observation. It offers dynamic code analysis, contextual code understanding, and automatic code mapping to help developers streamline shipping, refactoring, and onboarding processes for both legacy and existing applications. By leveraging AI models, Zevo.ai provides deeper insights into code, logs, and cloud infrastructure, enabling developers to gain a better understanding of their codebase.

GiteAI is an AI-powered tool designed to enhance collaboration and productivity for software development teams. It leverages machine learning algorithms to automate code reviews, identify bugs, and suggest improvements in real-time. With GiteAI, developers can streamline their workflow, reduce manual efforts, and ensure code quality. The platform integrates seamlessly with popular version control systems like GitHub, GitLab, and Bitbucket, providing actionable insights and analytics to drive continuous improvement.

Motif is a technical writing platform that uses artificial intelligence to help you create and maintain technical documentation. It provides a suite of tools and APIs that can be used to automate the documentation process, ensuring that your content is always up-to-date and accurate.

Benjamin S Powell is a leading AI consultant specializing in implementing powerful AI tools and strategies to help businesses reduce operational costs, boost productivity, and enhance workforce performance. With over 20 years of experience in entrepreneurship and product leadership, Benjamin has successfully founded multiple companies and steered them to profitable exits, taking on several C-Level roles along the way. His expertise lies in auditing and optimizing workflows, designing secure, impactful AI-driven tools, and sharing deep insights into emerging AI technologies through public speaking engagements.

Benjamin S Powell is a leading AI consultant specializing in implementing powerful AI tools and strategies to help businesses reduce operational costs, boost productivity, and enhance workforce performance. With over 20 years of experience in entrepreneurship and product leadership, Benjamin has successfully founded multiple companies and steered them to profitable exits. His expertise lies in auditing and optimizing workflows, designing secure, impactful AI-driven tools, and sharing deep insights into emerging AI technologies through public speaking engagements.

Archie is an AI-driven product architect platform that helps users transform their ideas into actionable specifications, designs, and architectural plans. It leverages the power of multiple large language models (LLMs) to provide users with insights, suggestions, and assistance throughout the product development process. With Archie, users can quickly generate a free Digital Blueprint of their software application's design, cure writer's block, rapidly conceptualize their ideas, and get data-driven assessments and enhanced creativity suggestions. Archie also allows users to socialize their ideas with early stakeholders and leverage AI to expand their ideas into detailed functional and technical plans.

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.

Vilosia is an AI-powered platform that helps medium and large enterprises with internal development teams to visualize their software architecture, simplify migration, and improve system modularity. The platform uses Gen AI to automatically add event triggers to the codebase, enabling users to understand data flow, system dependencies, domain boundaries, and external APIs. Vilosia also offers AI workflow analysis to extract workflows from function call chains and identify database usage. Users can scan their codebase using CLI client & CI/CD integration and stay updated with new features through the newsletter.

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.

CodeRabbit is an innovative AI code review platform that streamlines and enhances the development process. By automating reviews, it dramatically improves code quality while saving valuable time for developers. The system offers detailed, line-by-line analysis, providing actionable insights and suggestions to optimize code efficiency and reliability. Trusted by hundreds of organizations and thousands of developers daily, CodeRabbit has processed millions of pull requests. Backed by CRV, CodeRabbit continues to revolutionize the landscape of AI-assisted software development.

CodexAtlas is an AI-powered tool designed to automate code documentation processes. It leverages the latest advancements in Artificial Intelligence to generate and maintain documentation for software projects, freeing developers from the time-consuming task of writing documentation. With features like real-time updates, onboarding time reduction, and use-case detection, CodexAtlas aims to streamline the documentation process and enhance developer productivity. The tool also offers code conversion capabilities, business domain knowledge integration, and the option for on-premise deployment to cater to diverse organizational needs.

ObfusCat is an AI Code Assistant that prioritizes the privacy and security of developers' code by ensuring it never leaves the local machine. It shields users from legal implications of sharing code with third parties and provides a layer of security and confidentiality. The application utilizes a proprietary algorithm to mask and unmask code before and after interacting with ChatGPT for code generation. ObfusCat is designed to streamline code writing, bug fixing, and code explanation processes while maintaining the privacy of the user's code.

Cognigy is an AI-powered customer service platform that offers generative and conversational AI agents to transform customer engagement. The platform provides pre-trained AI agents for phone, voice chat, and messaging, along with agent assist solutions for sales and marketing. Cognigy.AI elevates contact centers across various industries by offering enterprise-grade capabilities such as low-code automation, voice connectivity, generative AI for CX transformation, AI-based semantic search, and knowledge management. The platform also supports multilingual customer journeys, live agent workspace, omnichannel reporting, and analytics.

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.

Release AI is an AI tool designed to track and document API changes, enabling users to generate release notes efficiently. The tool automates the process of monitoring and recording modifications made to APIs, streamlining the documentation process. With Release AI, users can stay up-to-date with API changes and easily create comprehensive release notes for their projects.

Nextoffer is an AI Interview Assistant application designed to help users excel in technical interviews by providing real-time assistance, AI-driven mock interviews, personalized feedback, and position-specific guidance. The tool is expert-trained, offers undetectable assistance, integrates with major video call platforms, and supports over 30 languages. It aims to help users land their dream jobs with confidence by staying updated with the latest interview questions and hiring rubrics from leading companies.

kitchenGPT.io is the #1 AI Interior Designer application that combines the power of AI with interior design to transform spaces effortlessly. From dream kitchens to personalized rooms, users can capture their space, explore endless themes, and remodel with room AI and kitchen AI features. The application allows users to redesign their interiors in seconds, offering style transfer, room design, and personalized kitchen designs with just a few clicks. With kitchenGPT.io, users can reimagine their ideal kitchen and living room, achieving professional results without the need for technical expertise.

This website is an AI tool that helps senior developers analyze AI tech debt. AI tech debt is the technical debt that accumulates when AI systems are developed and deployed. It can be difficult to identify and quantify AI tech debt, but it can have a significant impact on the performance and reliability of AI systems. This tool uses a variety of techniques to analyze AI tech debt, including static analysis, dynamic analysis, and machine learning. It can help senior developers to identify and quantify AI tech debt, and to develop strategies to reduce it.

The Open Data Editor (ODE) is a no-code application to explore, validate and publish data in a simple way. It is an open source project powered by the Frictionless Framework. The ODE is currently available for download and testing in beta.

CSGHub Server is a part of the open source and reliable large model assets management platform - CSGHub. It focuses on management of models, datasets, and other LLM assets through REST API. Key features include creation and management of users and organizations, auto-tagging of model and dataset labels, search functionality, online preview of dataset files, content moderation for text and image, download of individual files, tracking of model and dataset activity data. The tool is extensible and customizable, supporting different git servers, flexible LFS storage system configuration, and content moderation options. The roadmap includes support for more Git servers, Git LFS, dataset online viewer, model/dataset auto-tag, S3 protocol support, model format conversion, and model one-click deploy. The project is licensed under Apache 2.0 and welcomes contributions.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

Colors AI is a cross-platform color scheme generator that uses deep learning from public API providers. It is available for all mainstream operating systems, including mobile. Features: - Choose from open APIs, with the ability to set up custom settings - Export section with many export formats to save or clipboard copy - URL providers to other static color generators - Localized to several languages - Dark and light theme - Material Design 3 - Data encryption - Accessibility - And much more

MARS5 is a novel English speech model (TTS) developed by CAMB.AI, featuring a two-stage AR-NAR pipeline with a unique NAR component. The model can generate speech for various scenarios like sports commentary and anime with just 5 seconds of audio and a text snippet. It allows steering prosody using punctuation and capitalization in the transcript. Speaker identity is specified using an audio reference file, enabling 'deep clone' for improved quality. The model can be used via torch.hub or HuggingFace, supporting both shallow and deep cloning for inference. Checkpoints are provided for AR and NAR models, with hardware requirements of 750M+450M params on GPU. Contributions to improve model stability, performance, and reference audio selection are welcome.

Craftgen.ai is an innovative AI platform designed for both technical and non-technical users. It's built on a foundation of graph architecture for scalability and the Actor Model for efficient concurrent operations, tailored to both technical and non-technical users. A key aspect of Craftgen.ai is its modular AI approach, allowing users to assemble and customize AI components like building blocks to fit their specific needs. The platform's robustness is enhanced by its event-driven architecture, ensuring reliable data processing and featuring browser web technologies for universal access. Craftgen.ai excels in dynamic tool and workflow generation, with strong offline capabilities for secure environments and plans for desktop application integration. A unique and valuable feature of Craftgen.ai is its marketplace, where users can access a variety of pre-built AI solutions. This marketplace accelerates the deployment of AI tools but also fosters a community of sharing and innovation. Users can contribute to and leverage this repository of solutions, enhancing the platform's versatility and practicality. Craftgen.ai uses JSON schema for industry-standard alignment, enabling seamless integration with any API following the OpenAPI spec. This allows for a broad range of applications, from automating data analysis to streamlining content management. The platform is designed to bridge the gap between advanced AI technology and practical usability. It's a flexible, secure, and intuitive platform that empowers users, from developers seeking to create custom AI solutions to businesses looking to automate routine tasks. Craftgen.ai's goal is to make AI technology an integral, seamless part of everyday problem-solving and innovation, providing a platform where modular AI and a thriving marketplace converge to meet the diverse needs of its users.

Gemini Android is a repository showcasing Google's Generative AI on Android using Stream Chat SDK for Compose. It demonstrates the Gemini API for Android, implements UI elements with Jetpack Compose, utilizes Android architecture components like Hilt and AppStartup, performs background tasks with Kotlin Coroutines, and integrates chat systems with Stream Chat Compose SDK for real-time event handling. The project also provides technical content, instructions on building the project, tech stack details, architecture overview, modularization strategies, and a contribution guideline. It follows Google's official architecture guidance and offers a real-world example of app architecture implementation.

Tianji is a free, non-commercial artificial intelligence system developed by SocialAI for tasks involving worldly wisdom, such as etiquette, hospitality, gifting, wishes, communication, awkwardness resolution, and conflict handling. It includes four main technical routes: pure prompt, Agent architecture, knowledge base, and model training. Users can find corresponding source code for these routes in the tianji directory to replicate their own vertical domain AI applications. The project aims to accelerate the penetration of AI into various fields and enhance AI's core competencies.

Mooncake is a serving platform for Kimi, a leading LLM service provided by Moonshot AI. It features a KVCache-centric disaggregated architecture that separates prefill and decoding clusters, leveraging underutilized CPU, DRAM, and SSD resources of the GPU cluster. Mooncake's scheduler balances throughput and latency-related SLOs, with a prediction-based early rejection policy for highly overloaded scenarios. It excels in long-context scenarios, achieving up to a 525% increase in throughput while handling 75% more requests under real workloads.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

This repository serves as a comprehensive guide for technical teams interested in developing conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. It covers theoretical knowledge and practical code implementations, making it suitable for individuals with a basic technical background. The content includes information on large language models (LLMs), transformers, prompt engineering, embeddings, vector stores, and various other key concepts related to conversational AI. The repository also provides hands-on examples for two different use cases, along with implementation details and performance analysis.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

Only Train Once (OTO) is an automatic, architecture-agnostic DNN training and compression framework that allows users to train a general DNN from scratch or a pretrained checkpoint to achieve high performance and slimmer architecture simultaneously in a one-shot manner without fine-tuning. The framework includes features for automatic structured pruning and erasing operators, as well as hybrid structured sparse optimizers for efficient model compression. OTO provides tools for pruning zero-invariant group partitioning, constructing pruned models, and visualizing pruning and erasing dependency graphs. It supports the HESSO optimizer and offers a sanity check for compliance testing on various DNNs. The repository also includes publications, installation instructions, quick start guides, and a roadmap for future enhancements and collaborations.

1.5-Pints is a repository that provides a recipe to pre-train models in 9 days, aiming to create AI assistants comparable to Apple OpenELM and Microsoft Phi. It includes model architecture, training scripts, and utilities for 1.5-Pints and 0.12-Pint developed by Pints.AI. The initiative encourages replication, experimentation, and open-source development of Pint by sharing the model's codebase and architecture. The repository offers installation instructions, dataset preparation scripts, model training guidelines, and tools for model evaluation and usage. Users can also find information on finetuning models, converting lit models to HuggingFace models, and running Direct Preference Optimization (DPO) post-finetuning. Additionally, the repository includes tests to ensure code modifications do not disrupt the existing functionality.

Multi-Agent Orchestrator is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries to the most suitable agent based on context and content, supports dual language implementation in Python and TypeScript, offers flexible agent responses, context management across agents, extensible architecture for customization, universal deployment options, and pre-built agents and classifiers. It is suitable for various applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.

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.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

Ask Robert Sösemann, a Salesforce MVP and inventor of PMD for Salesforce, about Salesforce Development, Clean Code and PMD

針對經驗豐富的開發人員提供進階的 .NET 建議

Guides users on Salesforce Devops products and services in the voice of Vernon Keenan from SalesforceDevops.net

A concise and professional MEAN stack and OpenApi expert.

Guides in designing, implementing, and maintaining technical architecture.

Designs and manages technical solutions to meet business needs.

Guides the development and implementation of IT systems architecture.

为 Java 代码优化提供高级解决方案

Delivers AST analysis with type, value, and children.

Expert in all UML diagrams: Requirements in, Diagram Out – your precise solution for every specification.