Best of AI — May 2025

  1. 1
    Article
    Avatar of pragmaticengineerThe Pragmatic Engineer·1y

    Stack overflow is almost dead

    The engagement on Stack Overflow has significantly decreased, with the number of questions asked monthly hitting levels from its early days in 2009. Key factors contributing to its decline include enhanced moderation efficiency reducing question flow starting in 2014, the impact of ChatGPT offering quick and polite answers trained on Stack Overflow data since November 2022, and outdated moderation policies. Additionally, the site was acquired by Prosus in 2021, which preceded a marked fall in activity.

  2. 2
    Article
    Avatar of tdsTowards Data Science·1y

    Why I stopped Using Cursor and Reverted to VSCode

    The author details their decision to revert from using Cursor to VSCode as their primary IDE, citing updated features in GitHub Copilot, cost-effectiveness, and familiarity from prior use. Key considerations include improved compatibility with Jupyter Notebooks and the new availability of advanced LLMs in VSCode. Emphasis is placed on the rapid development pace of GitHub Copilot and Microsoft's resources to enhance functionality, closing the gap with competitors like Cursor.

  3. 3
    Article
    Avatar of game_developersGame Developers·50w

    I made a farming simulator - Browser version

    A developer created a browser-based farming simulator using bolt.new AI tool to improve their frontend skills. The game is currently in development but playable, with the creator seeking feedback from the community.

  4. 4
    Article
    Avatar of communityCommunity Picks·50w

    THE WAY OF CODE

    Rick Rubin explores the concept of vibe coding by merging ancient philosophy with modern coding practices, assisted by Claude AI from Anthropic. The post discusses themes of creativity, duality, and effortless coding, encouraging readers to use AI to transform code artifacts and develop dynamic visualizations.

  5. 5
    Article
    Avatar of huggingfaceHugging Face·51w

    Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

    The post introduces a method to create MCP-powered agents in Python, highlighting a simplified setup for integrating external tools with large language models (LLMs). By using the Model Context Protocol (MCP), these agents can easily interact with various tools without custom integration. The guide details the setup and execution of such agents using the huggingface_hub, showcasing potential use cases and possible configurations. It emphasizes the role of the MCPClient in facilitating asynchronous connections to MCP servers, tool discovery, and execution.

  6. 6
    Article
    Avatar of ubuntuUbuntu·52w

    Building an end-to-end Retrieval- Augmented Generation (RAG) workflow

    This post provides a comprehensive guide on setting up a retrieval-augmented generation (RAG) pipeline using open source tools like Charmed OpenSearch and KServe, specifically in Azure and Ubuntu environments. It covers key components of a RAG system, including data processing, embedding models, retrieval, vector databases, and more, while emphasizing the importance of scalability, security, and the use of open source solutions.

  7. 7
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    Free GenAI 65-Hour Bootcamp

    The freeCodeCamp.org YouTube channel offers a free 65-hour bootcamp on Generative AI covering theoretical knowledge and practical projects. Suitable for all skill levels, it includes expert lectures and real-world applications to enhance learning. Participants gain experience in tools like Python and Jupyter, focusing on AI-powered applications for educational purposes, with modules on prompt engineering, backend API creation, and AI model fine-tuning.

  8. 8
    Article
    Avatar of javarevisitedJavarevisited·1y

    Top 6 Books for AI and Machine Learning Engineers in 2025

    The post recommends six essential books for mastering AI and machine learning in 2025. Each book covers different aspects such as AI engineering, hands-on practices with popular libraries, mathematical foundations, applications in coding, and comprehensive AI knowledge. The books are well-reviewed and ideal for those seeking deep understanding and practical skills in AI fields.

  9. 9
    Article
    Avatar of hnHacker News·52w

    is-even-ai

    Explore the is-even-ai package which utilizes OpenAI's GPT-3.5-turbo model to check if numbers are even or odd. It offers various functions such as checking equality, greater than, and less than comparisons with examples of implementation. Users can adjust the AI model and temperature for more sophisticated uses.

  10. 10
    Article
    Avatar of programmingdigestProgramming Digest·1y

    Programming Digest DevOps Roadmap

    The post introduces a DevOps roadmap for software engineers to enhance their cloud skills efficiently. It emphasizes the importance of DevOps in staying relevant in the fast-evolving tech industry, highlighting the merging roles in traditional development and operations due to cloud-native trends. The roadmap is designed to future-proof careers by making DevOps skills an essential insurance policy against role changes driven by AI, offering higher salary potential and greater work impact.

  11. 11
    Article
    Avatar of singlestoreSingleStore·51w

    Build a Local AI Agent with Python, Ollama, LangChain and SingleStore

    Learn how to build a local Retrieval-Augmented Generation AI agent using Python, Ollama, LangChain, and SingleStore. This guide provides step-by-step instructions to set up the environment, prepare data, and implement a Q&A system powered by local data and models.

  12. 12
    Article
    Avatar of ghblogGitHub Blog·52w

    Vibe coding: Your roadmap to becoming an AI developer

    Explore essential programming languages such as Python, Java, and C++, along with frameworks like TensorFlow and PyTorch, as you dive into AI development. Learn key machine learning subfields including deep learning, NLP, and computer vision. Build a compelling GitHub portfolio to showcase your AI projects, and gain certification in GitHub Copilot to enhance your credentials. Utilize GitHub resources for hands-on learning and skill enhancement.

  13. 13
    Article
    Avatar of foojayioFoojay.io·1y

    Building a Real-Time AI Fraud Detection System with Spring Kafka and MongoDB

    This tutorial explains the step-by-step process of building a real-time fraud detection system using Spring Kafka, MongoDB, and AI-generated embeddings. It covers setting up a MongoDB database and creating a vector search index to detect anomalies in transaction data. The guide also illustrates creating synthetic customer profiles and generating transactions to analyze historical patterns for potential fraud, along with optimizing performance strategies.

  14. 14
    Article
    Avatar of collectionsCollections·51w

    Anthropic Unveils Claude Opus 4 and Sonnet 4 AI Models

    Anthropic introduces Claude Opus 4 and Claude Sonnet 4, advancing AI in coding, reasoning, and automation. Opus 4 excels in autonomous coding and task handling, outperforming rivals and enhancing DevOps processes. Sonnet 4 offers a cost-effective solution for general tasks. Despite these innovations, ethical concerns and high costs pose challenges. Anthropic stresses transparency and safety to address these issues in the competitive AI landscape.

  15. 15
    Article
    Avatar of logrocketLogRocket·50w

    How to use Claude to build a web app

    The post guides readers on using Claude, an AI assistant, to build a simple weather app, highlighting the use of prompt-driven interactions instead of traditional coding. It details the entire development process from setup to frontend creation, emphasizing the conversational style with AI, its benefits in scaffolding and refactoring code, managing project issues, and the importance of providing context for effective interaction. The writer shares personal experiences and insights on using Claude, advocating its use for enhancing development speed and efficiency.

  16. 16
    Article
    Avatar of mlmMachine Learning Mastery·51w

    Using NotebookLM as Your Machine Learning Study Guide

    NotebookLM is an AI-powered digital notebook designed to assist users with machine learning studies by turning study materials into a personalized tutor. It allows uploading research papers, notes, and other educational resources, providing answers based on these documents. Users can generate study guides, FAQs, and briefings, engage in interactive Q&A sessions, create mind maps, and listen to audio overviews. NotebookLM supports collaborative learning, but users should avoid overloading notebooks, regularly update materials, and verify AI-generated outputs for accuracy.

  17. 17
    Article
    Avatar of rubylaRUBYLAND·50w

    Vibe Learning is Underrated

    AI can facilitate skill acquisition through practical, just-in-time learning. The author shares how they overcame their challenges with bookkeeping by using QuickBooks alongside ChatGPT, which provided personalized guidance and explanations. This approach transformed a daunting task into a manageable one, demonstrating the potential of AI as a patient mentor that enables users to learn at their own pace and focus on practical application.

  18. 18
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·1y

    Build an MCP Server in 3 Steps

    This post describes a simple three-step process to build an MCP server using tools like Gitingest and Google AI Studio, enabling the transformation of FastMCP repository data into LLM-readable text. It also highlights the capabilities of the Firecrawl framework, which converts websites into structured formats for AI applications.

  19. 19
    Article
    Avatar of vercelVercel·51w

    How to become an AI engineering company

    AI is transforming businesses rapidly, making integration crucial for maintaining a competitive edge. Companies like Vercel leverage their core strengths, integrating AI to enhance web frameworks and application infrastructure. The lowered barriers to AI development enable businesses to launch quickly, gather feedback, and iterate. By utilizing exclusive data and understanding their unique market needs, smaller companies can effectively compete with tech giants. Tools like Vercel's AI SDK demonstrate how embedding AI into core systems can enhance product offerings.

  20. 20
    Article
    Avatar of communityCommunity Picks·50w

    Arindam200/awesome-ai-apps: Collection of AI Applications

    A curated collection of AI application examples and tutorials featuring popular frameworks like LangChain, LlamaIndex, CrewAI, and Pydantic AI. The repository includes practical implementations of chatbots, AI agents, and LLM-powered applications, along with integration examples for various tools and APIs. It provides setup instructions, video tutorials, and welcomes community contributions for building modern AI applications.

  21. 21
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·1y

    Building a 100% local MCP Client

    Learn how to build a completely local Model Context Protocol (MCP) client using tools like LlamaIndex, Ollama, and LightningAI. The tutorial provides a comprehensive walkthrough to create an MCP client capable of communicating with external tools and data sources through a structured protocol. It demonstrates setting up an SQLite server and building an AI agent using Deepseek-R1 as the local LLM, providing users with context-aware responses based on their queries.

  22. 22
    Article
    Avatar of aisaasstartupAI SaaS Startup·1y

    Vibe Coding My First Micro SaaS

    A freelance full-stack developer ventures into the indie hacking world by creating StickersAI, an AI-driven sticker generator. While coding was straightforward, the journey revealed the complexities of marketing, compliance, and branding. The article offers insights into the tech stack used and emphasizes the importance of adaptability and continuous learning in building a successful micro SaaS.

  23. 23
    Video
    Avatar of communityCommunity Picks·50w

    Build and Deploy a SaaS AI Agent Platform | Next.js 15, React, Better Auth, Polar | Full Course 2025

    Meet AI is a video calling app powered by AI agents, designed for various roles like language tutors and sales assistants. The app utilizes Next.js, React, and several other technologies for real-time calls, video SDKs, and AI-driven features. The tutorial covers building and deploying the platform, including authentication, payment integrations, and using tools like TRPC, Drizzle ORM, and Open AI.

  24. 24
    Article
    Avatar of wheresyouredWhere's Your Ed At·51w

    The Era Of The Business Idiot

    The post examines the rise of superficial management practices prevalent in modern corporations, fueled by neoliberal ideologies that prioritize shareholder value over meaningful contributions. It critiques the use of AI by executives as a facade for productivity and argues that the symbolic executive has become detached from actual work, leading to a cultural shift that rewards appearances over substance.

  25. 25
    Video
    Avatar of stefanmischookStefan Mischook·1y

    The Safest Dev Jobs in 2025?

    In 2025, the safest development jobs will revolve around small and medium-sized businesses, e-commerce, and leveraging AI and low code/no code platforms. While large companies are increasingly using AI for coding tasks, opportunities abound for developers who can effectively use these technologies to enhance productivity. Entrepreneurs and solopreneurs can benefit from reduced development time, enabling them to compete with larger organizations and capitalize on new tech opportunities.

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