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PlanetPython

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Talk Python to Me: #508: Program Your Own Computer with Python

  • Episode #508 of Talk Python to Me features Glyph discussing the concept of programming your computer with Python.
  • The episode explores using various tools and frameworks to integrate with platform APIs like macOS's BrowserKit and Windows' COM APIs to build more productive desktop apps.
  • Some of the links mentioned in the show include Glyph's Mastodon and GitHub profiles, Notify Py, Rumps, QuickMacHotkey, QuickMacApp, LM Studio, Coolify, PyWin32, WinRT, PyObjC, PyObjC Documentation, and a link to watch the episode on YouTube.
  • Listeners can stay connected with Talk Python through YouTube, Bluesky, and Mastodon, as well as follow Michael Kennedy on Bluesky and Mastodon.

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Hackernoon

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AI Agents for Beginners: Building Your First AI Agent

  • AI agents are revolutionizing software interactions by enabling autonomous decision-making and dynamic actions.
  • This article guides beginners in building their first AI agent using OpenAI SDK for a stock information agent.
  • A true AI agent is characterized by autonomy, dynamic decision-making, and the ability to adapt to ambiguous queries.
  • The agent created in the tutorial fetches real-time stock prices, identifies CEOs, and handles ambiguous queries efficiently.
  • Prerequisites include Python 3.7+, an OpenAI API key, and basic Python knowledge for building the agent.
  • Tools like stock price fetcher, CEO finder, ticker symbol identifier, and clarification tool are developed for agent's functionality.
  • The agent's decision-making loop processes user queries autonomously, choosing tools, asking for clarification, and handling errors gracefully.
  • The article emphasizes clear tool descriptions, error handling, conversation context maintenance, user transparency, and starting simple for successful agent development.
  • The agent's modular design allows easy extensions for adding capabilities like market analysis and news integration.
  • By following the provided steps, beginners can build a functional AI agent that can interact effectively with users in various scenarios.

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The Pragmatic Engineer

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The Pulse #136: Cloudflare builds OAuth framework mostly with Claude

  • Cloudflare software engineer built a production-grade OAuth library in five days with AI assistance from Claude.
  • Meta is trialing onsite interviews, AI agents accessing the web pose security risks, Apple Tax no longer applies to US web payments, Reddit sues Anthropic, and AI startup Builder.ai under scrutiny for faked product and revenue.
  • AI engineers are now offered higher base salaries by top US AI startups and EU counterparts, surpassing traditional Senior Director of Engineering roles.
  • Morgan Stanley employs AI with ChatGPT for rewriting legacy COBOL code, revealing potential in using LLMs to interpret and explain complex legacy codebases.

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Medium

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Vibe Coding: The Future of Programming or Just a Fad?

  • Vibe coding is gaining popularity in the software development community, offering a new way to collaborate with AI for coding solutions.
  • It involves working with AI as a partner to nudge the process towards the desired solution, akin to pair programming.
  • Tools like Cursor, Devin, GitHub Copilot Chat, Replit, Lovable, Bolt, and Vercel are at the forefront of this AI-assisted coding trend, enabling developers to streamline their workflows.
  • While vibe coding has shown promise in speeding up development processes, it is not poised to replace the need for human understanding and expertise in product development and system design.

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Dev

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esProc SPL: Equivalent to the Python-enhanced DuckDB

  • esProc SPL is an 'all-in-one toolbox' with built-in Python capabilities, offering excellent support for file handling and data binarization with superior speed compared to reading CSV directly.
  • While esProc does not support window functions in SQL, it provides a simpler alternative with its native language, SPL, making complex tasks easier to handle without cumbersome queries.
  • esProc SPL excels in flow control operations and complex calculations that SQL may struggle with. It offers comprehensive computing capabilities and robust flow control mechanisms, outperforming Python-enhanced DuckDB in certain scenarios.
  • Compared to the fragmented approach of combining SQL and Python in DuckDB, esProc SPL integrates core Python capabilities directly for a more seamless desktop data analysis experience.

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Medium

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What Coding Taught Me About Life

  • Coding taught the writer that technology is about humans solving problems with logic.
  • Coding concepts like recursion and error handling have parallels in real life situations.
  • Learning to let go of things, be it in programming or life, is important for personal growth.
  • Recognizing and breaking free from toxic patterns is crucial for personal healing and growth.

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Medium

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Angular Monorepo Library and Use It Locally

  • The article discusses the setup for arranging a workspace for developing libraries in an Angular monorepo.
  • Instead of using 'npm link', the approach involves adding the library as a dependency in package.json with 'npm install'.
  • The workspace will contain both the library and project, with the library requiring an entry point and components, services, etc., exported in public-api.ts.
  • By building the library locally with '--watch', developers can see changes reflect in the application automatically, aiding in real-time testing before publishing the library.

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Medium

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The Unavoidable Reality of Software Bugs

  • Software bugs are an unavoidable reality in programming due to human errors, complex systems, and reliance on external components.
  • While AI can assist in identifying syntax issues and suggesting code improvements, it is not foolproof and may miss critical issues like vulnerabilities in third-party libraries.
  • The addition of new features often leads to increased complexity, making it challenging to foresee all potential issues, especially those arising from real user interactions.
  • Although tests are essential for reducing risks, they cannot catch every bug, highlighting the importance of real-world testing and user feedback in ensuring software reliability.

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Dev

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RAG: Why Your LLM Needs a Reality Check (and How to Fix It)

  • LLMs like GPT-4 lack real-time data context, leading to inaccuracies in responses.
  • RAG (Retrieval-Augmented Generation) bridges the gap between LLMs and real-world accuracy.
  • RAG uses relevant data to enhance LLM responses and reduce fabrications by 60-80%.
  • RAG is ideal for domain-specific accuracy and situations with constantly changing data.

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Medium

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Stop Scaling PHP Horizontally — Split Logic with Self-Directed Agents

  • Duct-taping a broken pipe with horizontal scaling may not hold under pressure.
  • Modern apps require smarter power, not just more power.
  • Self-directed agents, like micro-logic units, can provide autonomous and efficient operation.
  • Vertical and horizontal scaling may not be the most effective solutions for handling business logic efficiently.

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Javacodegeeks

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Choosing Between Resource, EntityModel & RepresentationModel in Spring HATEOAS

  • When building hypermedia-driven REST APIs using Spring HATEOAS, key decision involves choosing between Resource, EntityModel, and RepresentationModel for modeling API responses.
  • Resource, which was deprecated, combined domain objects and hypermedia links but has been replaced by clearer abstractions like EntityModel and RepresentationModel for better flexibility.
  • EntityModel wraps a single domain entity allowing attachment of hypermedia links and is recommended for single resource embedding data.
  • RepresentationModel serves as a base class for responses that don't contain a domain entity, ideal for returning links or metadata without embedding an entity.

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Dev

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How a Group of Students Is Quietly Rebuilding the Way You Discover What to Watch, Listen to, and Read

  • A group of students from Brazil has created RecomendeMe, a platform focusing on human-centered cultural recommendations instead of algorithms.
  • Frustrated with algorithmic feed recommendations on platforms like Netflix and Spotify, the students aimed to rebuild trust by connecting people through genuine recommendations.
  • RecomendeMe is a space where real people share authentic recommendations with personal reasons attached, allowing users to explore based on genre, emotion, or location.
  • The platform has grown into a cultural rebellion against content fatigue, with plans to expand to include video-style recommendations, multilingual versions, and community chat features.

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Logrocket

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Leader Spotlight: How digital experiences enhance in-person moments, with Adam Reed

  • Adam Reed has a background in digital experience and design, having worked at various firms before landing leadership roles at companies like Intuit, Fidelity, and Transamerica.
  • In legacy industries like finance and insurance, the focus is on using digital solutions to enhance, not replace, human experiences, building trust and relationships through design and UX.
  • Creating unique and memorable digital experiences involves looking at how digital can improve in-person interactions, such as personalizing in-branch visits and utilizing technology to enhance trust.
  • Tools like empathy mapping, persona development, and customer journey mapping help in understanding user needs and friction points to design more human-centered experiences.
  • To engage infrequent users on platforms, Adam suggests presenting updates when users are paying attention, providing clear next steps after core tasks, and offering personalized recommendations for added value.
  • At Fidelity, Adam successfully increased customer engagement by communicating the full range of benefits offered and demonstrating how customers can derive even more value from the services.
  • In scenarios where users log in infrequently, an omnichannel approach, personalized communication, and leveraging agents' relationships are key strategies to highlight new capabilities and products.
  • Design and content play crucial roles in making tangible, value-driven connections to users, driving business value through research, personalization, and emotional human-computer interactions.
  • By focusing on enhancing human experiences through digital solutions and leveraging tools to understand user needs, Adam Reed highlights the importance of building trust, relationships, and value in the digital space.
  • Engaging infrequent users involves presenting updates effectively, providing clear next steps, and offering personalized recommendations for added value, as demonstrated in Adam's successful engagement strategies.

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Dev

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How to Implement JOIN Operations Between Tables from Different Databases with esProc?

  • esProc simplifies cross-database JOIN operations for data analysis involving different business systems.
  • JOIN between tables from various databases is challenging as many lack this feature, which esProc resolves.
  • esProc provides a simpler solution for JOIN operations between tables, compared to complex Java coding.
  • The article explains the relationships between tables in various databases for cross-database computations.
  • Distinct table associations have primary key-based JOINs and are categorized into dimension and primary-sub relationships.
  • esProc differentiates between join types based on the association scenario, enhancing coding simplicity and computational efficiency.
  • The article outlines practical use cases and SQL query examples for data analysis if tables are in the same database.
  • For cross-database operations, esProc brings a more straightforward approach compared to traditional SQL coding.
  • esProc installation involves configuring database connections, utilizing the JDBC driver package, and testing connections.
  • The implementation of use cases with esProc involves dimension table associations and primary-subtable associations for JOIN operations.

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Amazon

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Access Claude Sonnet 4 in Amazon Q Developer CLI

  • Amazon Q Developer now supports Claude Sonnet 4 in the CLI, offering advanced coding and reasoning capabilities at no extra cost.
  • With a 72.7% accuracy for agentic coding on the SWE-bench, Claude Sonnet 4 excels in coding and helps optimize development tasks efficiently.
  • Users can easily select Claude Sonnet models like 4, 3.7, and 3.5 in the CLI for increased flexibility and enhanced intelligence.
  • The integration of Claude Sonnet 4 in Amazon Q Developer CLI allows for advanced coding tasks, optimized development workflows, and sophisticated error handling, offering a significant advancement in AI assistance.

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