Best of AI — November 2024

  1. 1
    Video
    Avatar of fireshipFireship·1y

    Cheaters are breaking the technical interview... how?

    The post discusses the rise of cheating in technical interviews, driven by remote work and advanced AI tools. It outlines various cheating techniques, such as using hidden laptops, leaked interview questions, and AI tools like ChatGPT. The potential consequences of cheating, including rejection, being blacklisted, and damaging one's professional reputation, are highlighted. The post emphasizes the importance of honesty and the risks involved in cheating.

  2. 2
    Article
    Avatar of codemotionCodemotion·1y

    From Junior to Senior Developer with ChatGPT

    ChatGPT and similar AI tools can significantly aid developers by analyzing code, suggesting improvements, writing tests, and more. Their effectiveness depends on clear, specific prompts. While they are not designed to solve new or niche problems independently, they excel in tasks like code contextualization, reviews, and documentation. Tools like GitHub Copilot leverage additional context to provide more relevant suggestions, bridging the gap between junior and senior developer roles.

  3. 3
    Article
    Avatar of pragmaticengineerThe Pragmatic Engineer·1y

    Which IDEs do software engineers love, and why?

    This post examines the current landscape of AI-powered IDEs popular among software engineers. It highlights favorites like Cursor, Visual Studio Code with GitHub Copilot, and new entrants like Windsurf and Zed, detailing their standout features and pricing. Insights include why developers prefer these tools over established options, and how startups are out-innovating giants like Microsoft and JetBrains in this space.

  4. 4
    Article
    Avatar of medium_jsMedium·1y

    Goodbye ChatGPT: Here Are 8 (New & Free) AI Tools That Will Blow Your Mind

    Discover 8 new and free AI tools that can significantly enhance your productivity. The featured tools include Fiverr's Logo Maker for quick logo designs, APIDNA for easy API integration, Mailbox AI for email management, Skibs for creating animated 3D characters, Overlap for converting long videos into short clips, Loomos for enhancing video presentations, Paperguide for conducting research, and Runway Act-One for generating expressive videos. These tools provide innovative solutions for various tasks while being accessible for free up to certain limits.

  5. 5
    Article
    Avatar of communityCommunity Picks·1y

    9 Open Source Libraries to Supercharge Your Next Project 🔋⚡️

    Discover nine open-source libraries that can significantly enhance your next software project. These libraries include Crawlee for web scraping, Encore for backend frameworks, KitOps for AI model management, CopilotKit for in-app AI agents, ChartDB for database visualization, Taipy for AI web apps in Python, Tolgee for localization, OPAL for policy management, and Stack Auth for user authentication. Each library offers unique features aimed at simplifying development tasks and improving efficiency.

  6. 6
    Article
    Avatar of logrocketLogRocket·2y

    Automate code commenting using VS Code and Ollama

    Learn how to create a VS Code extension that uses Ollama to automate code comment generation. The tutorial covers the setup of Ollama, creating a new extension project in VS Code with TypeScript, and implementing functions to interact with an LLM model for generating comments. It provides step-by-step instructions to build prompt-based comment generation within the IDE, ensuring productivity without sacrificing data privacy.

  7. 7
    Article
    Avatar of hnHacker News·1y

    the tech utopia fantasy is over

    The initial optimism about tech and its potential to improve lives has faded. Despite some benefits like increased political awareness and connectivity, tech now often exacerbates social issues such as misinformation, disinformation, economic inequality, and environmental harm. Companies continue to push a utopian vision that fails to materialize, while engaging in practices that contradict their marketed images. Additionally, various tech giants and VCs have supported right-wing policies, further diverging from the progressive ideals they promote.

  8. 8
    Article
    Avatar of bitBits and Pieces·1y

    Top AI Dev Tools for 2025

    AI-powered developer tools are transforming software development by accelerating coding processes, reducing repetitive tasks, and improving code quality. These tools, such as Bit and Hope AI, Replit, Cursor, and GitHub Copilot, offer features like intelligent code generation, context-aware suggestions, and collaborative environments. Choosing the right AI tool involves considering factors like codebase maintainability, governance, integration across the development lifecycle, and security. The right tool can revolutionize workflows, making development faster, more consistent, and highly collaborative.

  9. 9
    Video
    Avatar of youtubeYouTube·2y

    AI Machine Learning Roadmap: Self Study AI!

    Learn how to self-study AI using a structured, step-by-step guide based on the Stanford AI graduate certificate program, but without the high tuition costs. The roadmap includes free resources for learning essential skills in math, programming, and AI fundamentals. Emphasis is placed on dedication and consistent effort, with an expectation of taking 1 to 3 years to master the material depending on one's background and time commitment.

  10. 10
    Article
    Avatar of bytebytegoByteByteGo·1y

    A Crash Course on Using AI to Save Time and Focus on What Matters

    Discover how AI can save you time and enhance productivity with practical steps for writing great AI prompts and eight powerful AI use cases for work. Learn from Peter Yang's experiences and tips on leveraging AI for tasks like summarizing Slack threads, parsing user feedback, learning new topics quickly, and more.

  11. 11
    Video
    Avatar of 3blue1brown3Blue1Brown·1y

    Large Language Models explained briefly

    The post explains large language models (LLMs), how they function, and the complexities behind their training. LLMs predict the next word in a sequence based on probabilities, using vast amounts of text data for training. The introduction of transformers in 2017 allowed for parallel processing of text, enhancing computation efficiency. Pre-training is supplemented by reinforcement learning with human feedback to refine model predictions. The sheer scale of data and computation involved is formidable, taking advantage of specialized hardware like GPUs.

  12. 12
    Article
    Avatar of thisdotThis Dot·2y

    Build Facial Recognition and Chatbot AIs using TypeScript with Jack Herrington

    Learn how to build a voice-activated AI assistant using OpenAI's Whisper and TTS models combined with Meta's Llama 3.1, integrated within a Next.js application. The guide covers setting up the client-side using Next.js, recording and sending audio for processing, and handling voice responses. The backend setup includes using OpenAI SDK and Vercel AI SDK for processing audio and generating responses.

  13. 13
    Article
    Avatar of itamargiladItamar Gilad·1y

    4 Levels of Data Proficiency

    Data proficiency is essential for product companies to thrive. This post outlines four levels of data proficiency: business modeling, data-driven, evidence-guided, and AI-powered. Business modeling focuses on creating models to understand customer behavior and business growth. Data-driven companies prioritize data collection, processing, and consistent analysis. Evidence-guided organizations test assumptions and act on validated data. The AI-powered level is speculative, suggesting that future advancements in AI could significantly enhance data-driven decision-making and business modeling.

  14. 14
    Article
    Avatar of portkeyportkey·2y

    Using Prompt Chaining for Complex Tasks

    Master prompt chaining to break down complex AI tasks into manageable steps, enhancing the efficiency and accuracy of language model applications. This method offers clear workflow advantages, allowing each prompt to build on previous ones and making each step more manageable. Key benefits include better error handling, modular updates, and improved context retention. Learn to create effective prompt chains and discover tools like Portkey AI for optimizing prompts and managing workflows.

  15. 15
    Article
    Avatar of nextaitoolNext AI Tool·2y

    Monica Code

    Monica Code combines Claude 3.5 and GPT-4o into Visual Studio Code, offering developers enhanced project insights without disrupting their workflow. With its multimodal chat and Composer feature for AI-assisted coding, it aids in boosting productivity. User feedback is essential for its ongoing improvement.

  16. 16
    Video
    Avatar of youtubeYouTube·2y

    This is how I scrape 99% websites via LLM

    Explore how advancements in AI, particularly large language models (LLMs), are revolutionizing web scraping in 2024. Learn the best practices for scripting internet data at a large scale, building autonomous web scrapers, and handling complex web interactions. The post demonstrates various kinds of web scraping tasks, including scraping public websites, handling complex web manipulations, and more sophisticated tasks that require reasoning. It also includes details about services like OpenAI, AgentQL, and SpiderCloud that facilitate optimized web content extraction.

  17. 17
    Article
    Avatar of mlmMachine Learning Mastery·1y

    5 Free Courses for Mastering LLMs

    Large Language Models (LLMs) have become a significant breakthrough in AI, excelling in understanding and generating human-like text. This post highlights five free courses to help learners master LLMs. Courses include an introduction by Google, an AI for Educators course by Microsoft, a technical deep dive from Cohere’s LLM University, prompt engineering courses by Anthropic, and a detailed LLM agents course by UC Berkeley and Google DeepMind. These courses cater to a range of learners from beginners to those looking to develop expertise in LLM applications and prompt engineering.

  18. 18
    Article
    Avatar of medium_jsMedium·1y

    AI Agents: How to build Digital Workers

    AI agents are transforming software development by integrating reasoning, decision-making, and action-taking capabilities. Leveraging large language models (LLMs), these agents can autonomously perform complex tasks, evolving from passive responders to intelligent systems. Key components include perception, reasoning (brain), memory, knowledge, and action through APIs. Designing an effective agent involves defining its role, tasks, memory, knowledge sources, and tools. When facing complex problems, a team of specialized agents working together can be more effective. Deployment considerations include security and operational tracking.

  19. 19
    Article
    Avatar of selfhstselfh.st·1y

    Self-Hosting Guide to Alternatives: Pocket, Omnivore

    This guide details several self-hosted alternatives to popular read later and bookmarking services such as Pocket and Omnivore. It highlights applications like Wallabag, Shiori, Linkwarden, Linkding, Hoarder, Readeck, Grimoire, and LinkAce, emphasizing their unique features, ease of deployment, and third-party integrations. These alternatives cater to various needs, from simplicity and minimalism to advanced functionality like AI-based tagging and video archiving.

  20. 20
    Article
    Avatar of medium_jsMedium·1y

    20 AI Coding Tools To Know in 2025

    This post reviews 20 AI coding tools available as of 2025, including GitHub Copilot, Cursor, Replit, Hope AI, and more. These tools aim to enhance developer productivity, provide intelligent code suggestions, and automate numerous coding tasks. Special emphasis is placed on tools that create managed, reusable code components and offer organizational controls and analytics.

  21. 21
    Article
    Avatar of faunFaun·2y

    Building AI Agents and Workflow

    With advancements in AI, creating AI Agents and AI-driven Workflows has become a growing interest. An AI Agent uses a Language Model (LLM) for reasoning and utilizes tools to perform tasks autonomously, while an Agentic Workflow combines these agents to execute a series of tasks. The post provides a step-by-step guide to build an AI Agent using langchain and OpenAI, including examples of sending emails and generating responses based on queries. The process involves defining tools, creating agents, setting up workflows, and executing tasks, with a focus on flexibility and extensibility.

  22. 22
    Video
    Avatar of freecodecampfreeCodeCamp·2y

    AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science

    This comprehensive 11-hour AI Foundations Course covers essential topics in machine learning, data science, and AI. It offers both theoretical knowledge and practical implementation with Python. The course includes real-world case studies, career guidance, startup advice, and interview preparation. Ideal for aspiring machine learning or AI engineers, it teaches fundamental to advanced algorithms, hands-on data analytics, and provides insights from industry professionals.

  23. 23
    Article
    Avatar of itsfossIt's Foss·2y

    Running Opencoder LLM in VS Code: A Local, Copilot Alternative

    OpenCoder is an open-source large language model designed for coding, available in 1.5B and 8B models. This guide explains how to integrate OpenCoder with VS Code using the CodeGPT extension and Ollama for local deployment. The steps include installing VS Code, the CodeGPT extension, Ollama, and downloading the OpenCoder model. While performance may vary based on hardware, this setup is an excellent alternative for developers prioritizing data privacy and local processing over cloud-based AI services.

  24. 24
    Video
    Avatar of an0n_aliAn0n Ali·2y

    Python Basics for HACKERS!

    Learning Python basics can significantly enhance your hacking skills by helping you create or modify tools to exploit vulnerabilities. Instead of mastering the entire language, focus on understanding variables, loops, and classes to troubleshoot and adjust code effectively. For learning, free online courses or structured platforms like Codecademy are highly recommended.

  25. 25
    Article
    Avatar of pythonnerPythonner·2y

    3. Roadmap To Python Programming!

    Learning Python is essential for entering fields like Software Development, Artificial Intelligence, and Data Science. It is important to understand core Python topics including variables, data types, loops, conditional statements, and functions, along with tools like IDEs and libraries. The roadmap offers comprehensive topics to master before starting your coding journey.

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