Citizendeveloper.codes!
  • Awesome Python - a comprehensive and curatted fantastic Python frameworks by Vinta Chen
  • Blazor Hybrid for Beginners
  • Build mobile and desktop apps with .NET MAUI
  • Google Research Blog
  • 29 no-cost ways to leap ahead in your cloud career
  • Gemini API: Quickstart with Python
  • THE FRUGAL ARCHITECT
  • Microsoft Research - Orca small LMs
  • Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents
  • Empowerment with good governance: How our citizen developers get the most out of the Microsoft Power Platform
  • Prompt flow - Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
  • C# for Beginners
  • Demystifying Retrieval Augmented Generation with .NET
  • Build with Gemini
  • Intelligent App Workshop for Microsoft Copilot Stack
  • Develop Generative AI solutions with Azure OpenAI Service
  • ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
  • OpenAPI based HTTP Client code generator
  • GPT-2 Output Detector
  • ChatGPT, Generative AI and GPT-3 Apps and use cases.
  • Getting Started: Clean Architecture in .NET - Dometrain
  • A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
  • How we interact with information: The new era of search
  • Azure OpenAI Private Endpoints: Connecting Across VNET’s
  • Microsoft Learn AI Fundamentals
  • Kernel Memory (KM) in C#, Python, and Java
  • Meta AI Research
  • Achieve limitless business benefits by skilling up on generative AI with Azure
  • Artificial Intelligence for Beginners
  • Step-by-Step: Creating Customized Applications with Power Virtual Agent to Empower Your Busines
  • Cloud Adoption Framework
  • How AI helped build a 100-million-user app behemoth
  • How generative AI is transforming the customer service experience
  • Graphitation - GraphQL tooling & runtime support needed for MS Teams and beyond
  • Chat your data in Microsoft Fabric with Semantic Kernel
  • Announcing the Preview of OpenAI Whisper in Azure OpenAI service and Azure AI Speech
  • The AI Study Guide @ Azure AI Tech Community
  • DeepSpeed is to enable deep learning scientists to train models
  • How to Evaluate LLMs: A Complete Metric Framework - Microsoft Research
  • Extended Reality (XR)
  • Advancing Video Understanding with GPT-4V(ision)
  • Instructed Counterfactual Biomedical Image Generation for Modeling Multimodal Patient Journeys
  • ML commons
  • AI transformation in action—how organizations are innovating today
  • Mastering Azure OpenAI Services: A Comprehensive Learning Path for Aspiring AI Engineers
  • Search the web for up-to-date OpenAI chat responses
  • LinkedIn - Future of Skills
  • Introducing new Microsoft Copilot capabilities to optimize Dynamics 365 Field Service operations
  • 12 days of no-cost training to learn generative AI this December
  • Build and Modernize AI Applications Hackathon
  • A Pythonista’s Intro to Semantic Kernel
  • Navigating Semantic Kernel: A Path to Agnostic AI Services
  • 10 ways generative AI and Azure OpenAI Service are transforming businesses
  • Langchain + Docker + Neo4j
  • How to build GenAI powered Smart Knowledge Search platform for enterprises
  • Exploring Generative AI @ martinfowler
  • Drive digital transformation with low-code platforms
  • Mastering LLMs: The Art of Grounding for Contextual Relevance
  • The Microsoft Graph Python SDK introduced
  • Segment Anything: Promptable Segmentation of Arbitrary Objects
  • A collection of design pattern samples for building applications and services with Azure Cosmos DB for NoSQL.
  • Azure AI Services Exercises @ Microsoft Learn
  • Evaluate your plugins and planners with Prompt flow
  • Microsoft Copilot Studio
  • NVIDIA - Retrieval Augmented Generation- Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
  • Build AI apps with Azure Cosmos DB for MongoDB vCore vector search
  • Introducing Semantic Kernel: Building AI-Based Apps
  • Empowering Frontline Workers with Next-Generation AI in Microsoft Teams
  • Generative AI on Google Cloud: New training content, from introductory to advanced
  • Meet Gen AI Navigator: Your personalized guide to adopting generative AI
  • Open Source LLM toolkit to build LLM applications. TigerRag (embedding, RAG), TigerTune (fine-tuning), TigerArmor (AI safety)
  • Vint Cerf on 50 years of the Internet: 'We still have a lot of work to do.'
  • Getting started with Semantic Kernel
  • Mastering the Dance with AI: A Deep Dive into Microsoft's WorkLab!
  • How to transform work with plugins for Microsoft 365 Copilot and AI apps
  • Program your micro:bit V2 with MicroCode!
  • Wolverine - Next Generation .NET Mediator and Message Bus
  • LLaVA-Interactive Image Chat, Segmentation and Generation/Editing -- All-in-one demo
  • Public preview for Microsoft Adaptive Card Previewer announced
  • OpenAI ChatGPT & GPT-3 API pricing calculator
  • Generative AI for Beginners
  • Generative AI for Beginners
  • Marten - .NET Transactional Document DB and Event Store on PostgreSQL
  • Fine-Tuning OpenAI Models for Retrieval Augmented Generation (RAG) with Qdrant and Few-Shot Learning
  • Building Real-Time, Intelligent AI Copilots with Confluent Cloud, Azure OpenAI & Azure Data Services
  • OpenAI Pricing & Tokens Calculator
  • Semantic Kernel
  • Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models
  • Introduction to Building AI Apps
  • CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference.
  • A curated list of articles and tutorials to start with and understand generative AI by Youssef Hosni
  • Azure Cognitive Search: Outperforming vector search with hybrid retrieval and ranking capabilities
  • New Microsoft Copilot Studio implementation guide
  • Cloud Native on Azure
  • Eliminate digital drag: Move your organization into the modern work and generative AI fast lane
  • Microsoft Fabric @ Learn
  • Modeling quantum architecture with Azure Quantum Resource Estimator
  • Physics of AGI: Understanding and improving emergent intelligence in large language models
  • SQuAD2.0 The Stanford Question Answering Dataset by Pranav Rajpurkar
  • Chat Copilot Performance improvements for chat and messaging loading
  • The AI Alliance - News, A community of technology creators, developers and adopters collaborating to advance safe, responsible AI rooted in open innovation.
  • OpenAI’s technology explained
  • Microsoft Cloud Adoption Framework for Azure
  • AWS Modernization Tools Now Support .NET 8
  • GPTZero
  • Automatic Generation of Visualizations and Infographics with LLMs
  • AI Content Detector - writer.com
  • Forrester study finds 346% ROI when modernizing service operations with Dynamics 365 Field Service
  • How to build an enterprise LLM application: Lessons from GitHub Copilot
  • Azure OpenAI @ Microsoft Learn
  • Building immersive experiences with Microsoft Mesh
  • Introducing a new Azure AI Language video series showcasing features powered by Azure OpenAI & more
  • Azure AI Fundamentals Exercises
  • Example prompts and code for the Google AI Gemini API and the Vertex AI Gemini API
  • The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
  • Semantic Kernel-Powered OpenAI Plugin Development Lifecycle
  • Azure OpenAI Architecture Patterns and implementation steps
  • AWS Well-Architected
  • Getting Started with Copilot for Power Platform: A Guide for Computer Science Students
  • AI-102 Designing and Implementing a Microsoft Azure AI Solution @ Microsoft Learn
  • Syntheseus - Navigating the labyrinth of synthesis planning
  • Tokenizer
  • Understanding the Difference in Using Different Large Language Models: Step-by-Step Guide
  • QUIC, a UDP-based, stream-multiplexing, encrypted transport protocol.
  • AutoGen: Enabling next-generation large language model applications
  • Introducing Amazon Q, a new generative AI-powered assistant (preview)
  • Revolutionizing Requirement Gathering: Azure DevOps Meets Azure OpenAI using Semantic kernel
  • AI Fundamentals @ Microsoft Learn
  • Jupyter Notebooks on Azure for Genomics Data Analysis
  • Microsoft Fabric Readiness and Workshops
  • .NET MAUI Workshop in a Box
  • Understanding Deep Learning
  • Awesome Python - a platform for hand-picked Python libraries on Data and Machine learning by Dylan Hogg
  • Introducing Llama 2 on Azure
  • A simple but effective data grid for Blazor
  • Microsoft 365 Developer Program: September 2023 updates
  • .NET MAUI on Linux with Visual Studio Code
  • Mastering GitHub Copilot for AI Paired Programming
  • Generative AI in Azure Machine Learning: Operationalizing app development for AI transformation
  • Scalable Extraction of Training Data from (Production) Language Models
  • Power Platform samples gallery
  • Distilling Step-by-Step: Achieving Superior Performance with Smaller Language Models
  • The year in Google Cloud: Top news of 2023
  • Building AI products with a holistic mental model
  • All things distributed
  • Building a foundation for AI success: Business strategy
  • Rapidly build an application in Gradio power by a Generative AI Agent
  • The architecture of today’s LLM applications
  • Introduction to Programming with Python, David J. Malan, Harvard University
  • AI DETECTOR - content at scale
  • Unlocking GPT-4 Summarization with Chain of Density Prompting
  • What’s new in Data & AI: Expanding choices for generative AI app builders
  • Sample quickstart repo for getting started building an enterprise chat copilot in Azure AI Studio
  • Introducing Vision Models in Azure Machine Learning Model Catalog
  • How generative AI fits into the entire software development lifecycle
  • Learn how to assess risk of AI systems
  • Google DeepMind
  • Jan AI, Runs LLM offline and 100% open source, on Windows, Mac and Linux
  • What’s New in Microsoft Teams for Education | November 2023
  • 10 AI terms everyone should know By Susanna Ray
  • QcoDeS is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium.
  • Azure AI services Blog
  • Access Control in Generative AI applications with Azure Cognitive Search
  • Iterative Self-Refinement with GPT-4V(ision)for Automatic Image Design and Generation
  • Evaluating RAG pipelines with Ragas + LangSmith, Redefining QA Evaluations: The Power of Ragas and LangSmith Combined.
  • Azure Open AI (demos, documentation, accelerators).
  • Microsoft Docs - Clean Architecture in Modern Web Applications
  • Developer productivity: security, testing, coding, AI
  • AutoGen: Getting Started for Multi-Agent Conversation, and Enhanced LLM Inference & Optimization
  • Generative AI on AWS
  • Vector Search & AI Assistant for Build and Modernize AI Apps
  • ChatGPT: Everything you need to know about the AI-powered chatbot
  • Partnership on AI
  • GenAI Stack Walkthrough:Behind the Scenes With Neo4j, LangChain, and Ollama in Docker
  • NVIDIA- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
  • Microsoft Research Blog
  • Intelligent app workshop
  • Azure Static Web Apps CLI
  • Azure Static Web Apps
  • Using Delta Kusto in Azure DevOps
  • Azure Static Web Apps @devto
  • Azure OpenAI Starter Kit for .NET Developers
  • Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock
  • OpenAI Cookbook
  • Awesome Python Data Science by Krzysztof Joachimiak
  • Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities
  • The Low-Code Market Could Approach $50 Billion By 2028
  • LowCode 2024-5th International Workshop on Modeling in Low-Code Development Platforms
  • Copilot Developer Camp
  • Awesome Python - a comprehensive and curatted fantastic Python frameworks by Vinta Chen
  • Blazor Hybrid for Beginners
  • Build mobile and desktop apps with .NET MAUI
  • Google Research Blog
  • 29 no-cost ways to leap ahead in your cloud career
  • Gemini API: Quickstart with Python
  • THE FRUGAL ARCHITECT
  • Microsoft Research - Orca small LMs
  • Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents
  • Empowerment with good governance: How our citizen developers get the most out of the Microsoft Power Platform
  • Prompt flow - Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
  • C# for Beginners
  • Demystifying Retrieval Augmented Generation with .NET
  • Build with Gemini
  • Intelligent App Workshop for Microsoft Copilot Stack
  • Develop Generative AI solutions with Azure OpenAI Service
  • ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
  • OpenAPI based HTTP Client code generator
  • GPT-2 Output Detector
  • ChatGPT, Generative AI and GPT-3 Apps and use cases.
  • Getting Started: Clean Architecture in .NET - Dometrain
  • A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
  • How we interact with information: The new era of search
  • Azure OpenAI Private Endpoints: Connecting Across VNET’s
  • Microsoft Learn AI Fundamentals
  • Kernel Memory (KM) in C#, Python, and Java
  • Meta AI Research
  • Achieve limitless business benefits by skilling up on generative AI with Azure
  • Artificial Intelligence for Beginners
  • Step-by-Step: Creating Customized Applications with Power Virtual Agent to Empower Your Busines
  • Cloud Adoption Framework
  • How AI helped build a 100-million-user app behemoth
  • How generative AI is transforming the customer service experience
  • Graphitation - GraphQL tooling & runtime support needed for MS Teams and beyond
  • Chat your data in Microsoft Fabric with Semantic Kernel
  • Announcing the Preview of OpenAI Whisper in Azure OpenAI service and Azure AI Speech
  • The AI Study Guide @ Azure AI Tech Community
  • DeepSpeed is to enable deep learning scientists to train models
  • How to Evaluate LLMs: A Complete Metric Framework - Microsoft Research
  • Extended Reality (XR)
  • Advancing Video Understanding with GPT-4V(ision)
  • Instructed Counterfactual Biomedical Image Generation for Modeling Multimodal Patient Journeys
  • ML commons
  • AI transformation in action—how organizations are innovating today
  • Mastering Azure OpenAI Services: A Comprehensive Learning Path for Aspiring AI Engineers
  • Search the web for up-to-date OpenAI chat responses
  • LinkedIn - Future of Skills
  • Introducing new Microsoft Copilot capabilities to optimize Dynamics 365 Field Service operations
  • 12 days of no-cost training to learn generative AI this December
  • Build and Modernize AI Applications Hackathon
  • A Pythonista’s Intro to Semantic Kernel
  • Navigating Semantic Kernel: A Path to Agnostic AI Services
  • 10 ways generative AI and Azure OpenAI Service are transforming businesses
  • Langchain + Docker + Neo4j
  • How to build GenAI powered Smart Knowledge Search platform for enterprises
  • Exploring Generative AI @ martinfowler
  • Drive digital transformation with low-code platforms
  • Mastering LLMs: The Art of Grounding for Contextual Relevance
  • The Microsoft Graph Python SDK introduced
  • Segment Anything: Promptable Segmentation of Arbitrary Objects
  • A collection of design pattern samples for building applications and services with Azure Cosmos DB for NoSQL.
  • Azure AI Services Exercises @ Microsoft Learn
  • Evaluate your plugins and planners with Prompt flow
  • Microsoft Copilot Studio
  • NVIDIA - Retrieval Augmented Generation- Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
  • Build AI apps with Azure Cosmos DB for MongoDB vCore vector search
  • Introducing Semantic Kernel: Building AI-Based Apps
  • Empowering Frontline Workers with Next-Generation AI in Microsoft Teams
  • Generative AI on Google Cloud: New training content, from introductory to advanced
  • Meet Gen AI Navigator: Your personalized guide to adopting generative AI
  • Open Source LLM toolkit to build LLM applications. TigerRag (embedding, RAG), TigerTune (fine-tuning), TigerArmor (AI safety)
  • Vint Cerf on 50 years of the Internet: 'We still have a lot of work to do.'
  • Getting started with Semantic Kernel
  • Mastering the Dance with AI: A Deep Dive into Microsoft's WorkLab!
  • How to transform work with plugins for Microsoft 365 Copilot and AI apps
  • Program your micro:bit V2 with MicroCode!
  • Wolverine - Next Generation .NET Mediator and Message Bus
  • LLaVA-Interactive Image Chat, Segmentation and Generation/Editing -- All-in-one demo
  • Public preview for Microsoft Adaptive Card Previewer announced
  • OpenAI ChatGPT & GPT-3 API pricing calculator
  • Generative AI for Beginners
  • Generative AI for Beginners
  • Marten - .NET Transactional Document DB and Event Store on PostgreSQL
  • Fine-Tuning OpenAI Models for Retrieval Augmented Generation (RAG) with Qdrant and Few-Shot Learning
  • Building Real-Time, Intelligent AI Copilots with Confluent Cloud, Azure OpenAI & Azure Data Services
  • OpenAI Pricing & Tokens Calculator
  • Semantic Kernel
  • Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models
  • Introduction to Building AI Apps
  • CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference.
  • A curated list of articles and tutorials to start with and understand generative AI by Youssef Hosni
  • Azure Cognitive Search: Outperforming vector search with hybrid retrieval and ranking capabilities
  • New Microsoft Copilot Studio implementation guide
  • Cloud Native on Azure
  • Eliminate digital drag: Move your organization into the modern work and generative AI fast lane
  • Microsoft Fabric @ Learn
  • Modeling quantum architecture with Azure Quantum Resource Estimator
  • Physics of AGI: Understanding and improving emergent intelligence in large language models
  • SQuAD2.0 The Stanford Question Answering Dataset by Pranav Rajpurkar
  • Chat Copilot Performance improvements for chat and messaging loading
  • The AI Alliance - News, A community of technology creators, developers and adopters collaborating to advance safe, responsible AI rooted in open innovation.
  • OpenAI’s technology explained
  • Microsoft Cloud Adoption Framework for Azure
  • AWS Modernization Tools Now Support .NET 8
  • GPTZero
  • Automatic Generation of Visualizations and Infographics with LLMs
  • AI Content Detector - writer.com
  • Forrester study finds 346% ROI when modernizing service operations with Dynamics 365 Field Service
  • How to build an enterprise LLM application: Lessons from GitHub Copilot
  • Azure OpenAI @ Microsoft Learn
  • Building immersive experiences with Microsoft Mesh
  • Introducing a new Azure AI Language video series showcasing features powered by Azure OpenAI & more
  • Azure AI Fundamentals Exercises
  • Example prompts and code for the Google AI Gemini API and the Vertex AI Gemini API
  • The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
  • Semantic Kernel-Powered OpenAI Plugin Development Lifecycle
  • Azure OpenAI Architecture Patterns and implementation steps
  • AWS Well-Architected
  • Getting Started with Copilot for Power Platform: A Guide for Computer Science Students
  • AI-102 Designing and Implementing a Microsoft Azure AI Solution @ Microsoft Learn
  • Syntheseus - Navigating the labyrinth of synthesis planning
  • Tokenizer
  • Understanding the Difference in Using Different Large Language Models: Step-by-Step Guide
  • QUIC, a UDP-based, stream-multiplexing, encrypted transport protocol.
  • AutoGen: Enabling next-generation large language model applications
  • Introducing Amazon Q, a new generative AI-powered assistant (preview)
  • Revolutionizing Requirement Gathering: Azure DevOps Meets Azure OpenAI using Semantic kernel
  • AI Fundamentals @ Microsoft Learn
  • Jupyter Notebooks on Azure for Genomics Data Analysis
  • Microsoft Fabric Readiness and Workshops
  • .NET MAUI Workshop in a Box
  • Understanding Deep Learning
  • Awesome Python - a platform for hand-picked Python libraries on Data and Machine learning by Dylan Hogg
  • Introducing Llama 2 on Azure
  • A simple but effective data grid for Blazor
  • Microsoft 365 Developer Program: September 2023 updates
  • .NET MAUI on Linux with Visual Studio Code
  • Mastering GitHub Copilot for AI Paired Programming
  • Generative AI in Azure Machine Learning: Operationalizing app development for AI transformation
  • Scalable Extraction of Training Data from (Production) Language Models
  • Power Platform samples gallery
  • Distilling Step-by-Step: Achieving Superior Performance with Smaller Language Models
  • The year in Google Cloud: Top news of 2023
  • Building AI products with a holistic mental model
  • All things distributed
  • Building a foundation for AI success: Business strategy
  • Rapidly build an application in Gradio power by a Generative AI Agent
  • The architecture of today’s LLM applications
  • Introduction to Programming with Python, David J. Malan, Harvard University
  • AI DETECTOR - content at scale
  • Unlocking GPT-4 Summarization with Chain of Density Prompting
  • What’s new in Data & AI: Expanding choices for generative AI app builders
  • Sample quickstart repo for getting started building an enterprise chat copilot in Azure AI Studio
  • Introducing Vision Models in Azure Machine Learning Model Catalog
  • How generative AI fits into the entire software development lifecycle
  • Learn how to assess risk of AI systems
  • Google DeepMind
  • Jan AI, Runs LLM offline and 100% open source, on Windows, Mac and Linux
  • What’s New in Microsoft Teams for Education | November 2023
  • 10 AI terms everyone should know By Susanna Ray
  • QcoDeS is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium.
  • Azure AI services Blog
  • Access Control in Generative AI applications with Azure Cognitive Search
  • Iterative Self-Refinement with GPT-4V(ision)for Automatic Image Design and Generation
  • Evaluating RAG pipelines with Ragas + LangSmith, Redefining QA Evaluations: The Power of Ragas and LangSmith Combined.
  • Azure Open AI (demos, documentation, accelerators).
  • Microsoft Docs - Clean Architecture in Modern Web Applications
  • Developer productivity: security, testing, coding, AI
  • AutoGen: Getting Started for Multi-Agent Conversation, and Enhanced LLM Inference & Optimization
  • Generative AI on AWS
  • Vector Search & AI Assistant for Build and Modernize AI Apps
  • ChatGPT: Everything you need to know about the AI-powered chatbot
  • Partnership on AI
  • GenAI Stack Walkthrough:Behind the Scenes With Neo4j, LangChain, and Ollama in Docker
  • NVIDIA- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
  • Microsoft Research Blog
  • Intelligent app workshop
  • Azure Static Web Apps CLI
  • Azure Static Web Apps
  • Using Delta Kusto in Azure DevOps
  • Azure Static Web Apps @devto
  • Azure OpenAI Starter Kit for .NET Developers
  • Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock
  • OpenAI Cookbook
  • Awesome Python Data Science by Krzysztof Joachimiak
  • Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities
  • The Low-Code Market Could Approach $50 Billion By 2028
  • LowCode 2024-5th International Workshop on Modeling in Low-Code Development Platforms
  • Copilot Developer Camp
  • Low-Code
    • Reviews

    • Gartner Reviews®
    • Prescient & Strategic (P&S) Market Research ®
    • G2 Grid®
    • Capterra Reviews®
    • TrustRadius Reviews®
    • SoftwareAdvice Reviews®
    • Software®Suggest
    • Get App Reviews®
    • CrowdReviews Reviews®
    • Slant Reviews®

    • Reports - screenshot

    • Gartner's Magic Quadrant®
    • THE FORRESTER WAVE®
    • Everest Group - The PEAK Matrix Assessment®
  • No-Code
    • Reviews

    • Product Hunt
    • G2 Grid®
    • Capterra Reviews®
    • TrustRadius Reviews®
    • SoftwareAdvice Reviews®
    • Software®Suggest
    • Get App Reviews®
    • CrowdReviews Reviews®

    • Low-Code AI

    • No-Code AI Platforms Bring AI to Everyone — Here is How
    • The next generation of AI platforms: No-Code AI
    • 52 No-Code AI Tools: The Complete No-Code AI Guide (Updated January 2024)
    • 15 Best No-Code AI Platform Tools (2024)
  • Automation
    • Gartner

    • Business Process Automation Tools

    • G2

    • G2 Grid® for Workload Automation
    • Workplace Innovation Platforms

    • Capterra

    • Robotic Process Automation Software

    • TrustRadius

    • Business Process Automation Software
  • Research Papers
    • Low-code No-Code Papers

    • Yan, Z. (2021). The Impacts of Low/No-Code Development on Digital Transformation and Software Development. ArXiv.
    • Heuschkel, S. (2023). The impact of no-code on digital product development. ArXiv.
    • Luo, Y., et al. (2021). Characteristics and Challenges of Low-Code Development: The Practitioners' Perspective. ArXiv.
    • Bock, A.C., Frank, U. Low-Code Platform. Bus Inf Syst Eng 63, 733–740 (2021).
    • Liu, Y., et al. (2024). An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support. ArXiv.
    • Rao, N., et al. (2023). AI for Low-Code for AI. ArXiv.
    • Hirzel, M. (2022). Low-Code Programming Models. ArXiv.
    • Elshan, E., et al. (2023). An Investigation of Why Low Code Platforms Provide Answers and New Challenges. HICSS.

    • Related Research

    • Gupta, S., et al. (2023). Personalized action suggestions in low-code automation platforms. ArXiv.
    • Cai, Y., et al. (2023). Low-code LLM: Graphical User Interface over Large Language Models. ArXiv.
  • Consulting firms
    • Accenture Insights
    • Revolutionizing platforms through low-code/no-code
    • CIO’s challenge or secret weapon: Low-code/No-code
    • Power to the people!

    • Bain & Company
    • Six Trends Shaping the Future of Enterprise Technology

    • Baker Tilly
    • Low-code and no-code solutions

    • Boston Consulting Group
    • The CEO's Guide to AI Revolution

    • Capgemini Solutions
    • Enabling the citizen developer

    • Deloitte Perspectives
    • Low-code and no-code development platforms
    • Accelerate software development utilizing citizen developers
    • Unleash the force of Low-Code No-Code

    • EY Insights
    • Empowering actuaries with low-code/no-code

    • Kearney
    • Vendor management practices in the age of GenAI

    • KPMG Insights
    • Shaping digital transformation with low-code platforms

    • McKinsey Digital
    • Low-code/no-code: Transform shadow IT
    • Rethinking conventional wisdom
    • Making software and data architectures sustainable
    • Cloud adoption to accelerate IT modernization

    • Oliver Wyman
    • Technology Predictions For 2021

    • PwC Insights
    • The rising popularity of Low-Code App Development

    • Roland Berger
    • The digital dilemma
    • The rise of modern services
  • Books
    • Low-code and No-Code
    • Low-Code/No-Code Citizen Developers and the Surprising Future of Business Applications

    • Digital Transformation
    • Digital Transformation - Survive and Thrive in an Era of Mass Extinction
    • Digital Hesitation
    • Why Digital Transformations Fail: The Surprising Disciplines of How to Take Off and Stay Ahead
    • How to Alleviate Digital Transformation Debt (excerpts and outline)
  • Bookmarks
    • BibSonomy - Amit Puri
    • Gartner Identifies the Top Five Strategic Technology Trends in Software Engineering for 2024
    • Stack Overflow Developer Surveys
    • Stack Overflow Developer Survey 2024
    • Stack Overflow Developer Survey 2023
    • PMI - Citizen Developer
    • FinOps data
    • LowCode Workshop

    • 101+ Cloud Computing Statistics That Will Blow Your Mind (Updated 2024)
    • 32 Low Code/ No Code Statistics from Reputable Sources [2024]
    • Impressive Low-Code Statistics and Facts
    • 56+ Critical Low-Code Statistics to Review for 2024
    • Sneak-peek into Top 10 Predictions for No-Code Low-Code Adoption by Businesses for 2024
    • How Low Code or No Code Revolutionize the Future of Software Development
    • Top 10 Low-Code/No-Code Trends for 2024: Accelerating Development

    • Datasets for Code Smells research
    • big code - for source code analysis and machine learning on source code
    • Public Git Archive
    • Machine Learning for Code (ML4Code) Papers
    • Hugging Face Datasets

    • Datasets Search
    • Our World in Data
    • Kaggle Datasets
    • Google Dataset Search
    • DataHub
    • UCI Machine Learning Repository
    • Data.gov
    • Data.gov.in
    • Wikipedia - List of datasets for machine-learning research
    • Google Drive CLI

    • Research material
    • How to Alleviate Digital Transformation Debt: post-COVID-19 by Dr Setrag Khoshafian
    • Why Digital Transformations Fail: The Surprising Disciplines of How to Take Off and Stay Ahead by Tony Saldanha
    • Digital Transformation Debt: Part I/II
    • How to Alleviate Digital Transformation Debt (excerpts and outline)
    • Will Low-Code and No-Code Development Replace Traditional Coding?
    • Software Quality: How Much Does It Matter?
    • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
    • GitHub Copilot
    • A Systematic Evaluation of Large Language Models of Code
    • Code Language Models
    • Research: quantifying GitHub Copilot's impact on developer productivity and happiness
    • The Prevalence of Code Smells in Machine Learning
    • MLLint
    • On the Feasibility of Transfer Learning Code
    • Should You Use a No-Code AI Platform? Limits and Opportunities
    • No-Code/Low-Code AI: New Business Models and Future of Data Scientists
    • Low-Code and No-Code Machine Learning Platforms
    • No-Code AI Map
    • Emerging Trends in Low-Code/No-Code Platforms in AI
    • Low-Code AI in Enterprise: Benefits and Use Cases
    • No-Code Machine Learning
    • Democratization of AI
    • Top No-Code Platforms
    • Decoding the What & Why Behind Low/No-Code AI: Does It Matter in 2022 & Beyond?
    • CodeSquire
    • Power BI Handover
    • How No-Code Platforms Are Filling the Developer Gap
    • Podcast: Understanding Power Platform's Evolution
    • 10 Automation Mistakes to Avoid
    • Top 10 Low-Code Platforms That Will Gain Prominence in 2023
    • Four Causes of Technical Debt in DevOps
    • Remedy Risks of Digitalisation
    • The Impact of Culture on Code
    • Digital Transformation, Industry 4.0, Smart Manufacturing
    • Citizen Development: Are You Doing It the Right Way?
    • Innovation Managers and Low-Code/No-Code
    • Why Digital Transformation Debt Is Bad
    • Demythifying Enterprise Innovation
    • Coding Isn't a Necessary Leadership Skill, But Digital Literacy Is

    • Data-Centric Low-Code/No-Code Platforms and Solutions
    • HFS Research - Low-code No-code
    • Quora - Low-code Development Platforms

    • Reddit - Lowcode
    • Reddit - Nocode
    • Reddit - NocodeLowcode

    • AWS - What is iPaaS?
    • Solutions Review - Business Process Management Software Directory
    • NoCode Essentials
    • NoCode MBA
    • NoCode Tech
    • NoCode Journal
    • NoCode Founders
    • NoCode LowCode Resources
    • VynZ Research - Low-code Development Platform market

    • Nucleus Research
    • ROI Case Studies
    • Value Matrix
    • Low Code Application Platform (LCAP) Technology
    • Value Matrix 2023
    • Value Matrix 2022
    • Value Matrix 2021
    • Value Matrix 2020
    • iPaaS Technology
    • Value Matrix 2024
    • Value Matrix 2023
    • Value Matrix 2022
    • Value Matrix 2021
    • Value Matrix 2020
    • Database Technology Value Matrix 2023
    • NoSQL DBMS Technology Value Matrix 2024

    • Cloud Vendor TCO Calculators
    • Azure - Total Cost of Ownership (TCO) Calculator
    • AWS - Pricing Calculator
    • Google Cloud - Pricing Calculator
    • AWS EDP Guide
    • Power Platform Well-Architected Framework
    • Synergy Research Group reports
    • Cloud Market Growth Stays Strong in Q2 While Amazon, Google and Oracle Nudge Higher - 1st August 2024
    • Cloud Market Gets its Mojo Back; AI Helps Push Q4 Increase in Cloud Spending to New Highs - 1st Feb 2024
    • AI Helps to Stabilize Quarterly Cloud Market Growth Rate; Microsoft Market Share Nudges Up Again - 26th Oct 2023
    • Quarterly Cloud Market Once Again Grows by $10 Billion from 2022; Meanwhile, Little Change at the Top - 3rd Aug 2023
    • As Quarterly Cloud Spending Jumps to Over $50B, Microsoft Looms Larger in Amazon's Rear Mirror - 3rd Feb 2022

© Amit Puri - Developed with Transforming Tomorrow, One Algorithm at a Time: The AI Revolution

We would like to use third-party cookies and scripts to improve the functionality of this website.AcceptMore info