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ServBay Launches Educational Program for Students and Teachers

  • ServBay has launched an Educational Program to provide students and teachers with quality tools and resources for learning and innovation.
  • The program offers exclusive discounts on ServBay Pro purchases and renewals for students and educators.
  • ServBay aims to foster innovation and facilitate a smooth transition to professional careers for program participants.
  • To apply for the educational support, users need to log in using their .edu email address and place an order for ServBay Pro.

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VentureBeat

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Microsoft infuses enterprise agents with deep reasoning, unveils data Analyst agent that outsmarts competitors

  • Microsoft has announced significant additions to its Copilot Studio platform, unveiling deep reasoning capabilities and specialized agents like Researcher and Analyst for Microsoft 365 Copilot.
  • The Analyst agent functions as a personal data scientist, processing diverse data sources and generating insights without technical expertise from users.
  • Microsoft has leveraged its understanding of Excel workflows to create the Analyst agent, making it valuable for financial analysis and operational reporting.
  • The deep reasoning capability enables agents to tackle complex analytical work by invoking advanced reasoning models like OpenAI's o1, allowing agents to handle ambiguous business problems more methodically.
  • Microsoft's agent flows combine rule-based workflows with AI reasoning, enabling scenarios like intelligent fraud prevention and optimization in companies like Pets at Home and Dow Chemical.
  • Microsoft's enterprise data integration through the Microsoft Graph provides agents with contextual awareness, enhancing relevance based on workplace relationships.
  • Microsoft aims to make these capabilities accessible to organizations of varying technical resources, with over 100,000 organizations using Copilot Studio and creating more than 400,000 agents in the last quarter.
  • While competition in the enterprise agent space is intensifying with companies like Google, OpenAI, Salesforce, Oracle, SAP, and AWS entering the market, Microsoft's advantage lies in its comprehensive approach and strong coupling with OpenAI's reasoning models.
  • Microsoft focuses on business outcomes rather than raw AI capabilities, offering a wide range of agents tailored for specific business processes and individual work patterns.
  • Enterprise decision-makers are advised to consider integration with existing tools and data when selecting an agent platform, where Microsoft's strong user base in tools like Excel and Power Automate provides an advantage.
  • Microsoft's ecosystem combines personal copilots and specialized agents to drive practical business applications with measurable ROI, highlighting the maturity of agent technology in delivering business results.

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Re-Revisiting Performance in Ruby 3.4.1

  • The article discusses revisiting performance in Ruby 3.4.2 and addresses feedback received on a previous article focusing on the usage of Structs and Classes.
  • Initial observations favored Structs over Classes in some scenarios, but further benchmarking revealed that Classes are now faster than Structs in most cases.
  • Benchmarking code from the Alchemist's article was used to compare performance between different data structures like Arrays, Hashes, Classes, Structs, and Data.
  • Results showed that in real-life scenarios, Classes outperformed Structs, with Data objects being more performant than both when dealing with 10 attributes.
  • Stringified Hashes were noted to perform well under the frozen string literal comment, and using primitive data objects like Arrays and Hashes is recommended for larger datasets.
  • The article emphasized that Structs and Data objects serve as value objects, allowing for direct comparison, unlike Class instances.
  • The conclusion highlights the performance priority order of data structures and advises using frozen string literal comments and prioritizing Arrays or Hashes for larger datasets.

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How to use gdb to debug Golf applications

  • To include debugging information in your application executable, use the "--debug" option when building the application using gg.
  • Debugging Golf programs with gdb is similar to debugging plain C programs, as Golf programs are technically C programs.
  • The debugging ecosystem for Golf programs is well-developed, allowing the use of tools like Valgrind and Google ASAN.
  • Debugging Golf programs requires debug information either during compilation or through included debugging information.
  • An example of debugging in Golf involves creating a parsing application, compiling it with debug information and running it with gdb.
  • Golf programs can be executed as web application servers or command-line executables, requiring appropriate environment variable settings.
  • Using gdb for debugging Golf programs involves setting breakpoints, running the program step-by-step, and examining variables and loop iterations.
  • Golf programs can be debugged at the C code level by compiling with the '--c-lines' flag and examining the generated C code in gdb.
  • Debugging Golf programs with gdb provides insights into program execution at both the Golf and C code levels.
  • Learning to debug Golf programs with gdb can help in understanding program behavior and resolving issues efficiently.

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Medium

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Jupyter Kernel Selection in VSCode: Docker & WSL Setup Guide

  • Docker provides a consistent environment for applications, ensuring code runs identically regardless of the OS.
  • Creating a Docker image for a Python project involves writing a Dockerfile to define dependencies and run commands.
  • Combining Jupyter Notebooks with Docker in VS Code allows for a consistent and isolated environment to simplify dependency management.
  • Integrating Docker, VS Code, Jupyter Notebooks, and WSL creates a robust and efficient development environment for Python projects.

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Behind the 8-Ball: Is Humanity Sleepwalking Into an AI-Controlled Economy?

  • By 2030, artificial intelligence may become the invisible hand behind our markets, policies, and personal decisions.
  • Institutions meant to safeguard society are lagging behind AI development in terms of control and infrastructure centralization.
  • There is a risk of entering a digital feudalism, where access to intelligence is leased and controlled by corporations, leading to economic concentration and job loss.
  • Immediate intervention is needed to democratize AI access, legislate algorithmic transparency, protect digital rights, and introduce economic adaptation tools.

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Medium

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Let the Network Decide: The Channel-Wise Wisdom of Squeeze-and-Excitation Networks

  • The Squeeze-and-Excitation Network (SENet) was implemented to address the issue of treating all input features equally in traditional models.
  • The SENet adaptively recalibrates feature channels based on relevance, leading to high accuracy and interpretability in wildfire risk assessment.
  • Using a simulated wildfire dataset, the SENet achieved an accuracy of 95.8% with precise and recall for fire events.
  • Feature importance analysis highlighted the significance of temperature, pressure, and solar radiation in wildfire prediction.

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Nugget SparseRestore-based iPhone customization utility updated to v5.0.1 with more bug fixes

  • The Nugget SparseRestore-based iPhone and iPad customization utility has been updated to version 5.0.1.
  • The update introduces bug fixes, improvements, and an option to disable the Windows path fix.
  • Existing users are strongly encouraged to download and use the latest release for maximum bug prevention.
  • Nugget allows users to customize their iOS or iPadOS device without the need for a jailbreak.

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Let's Build a Full-Stack App Using the MERN Stack! Part 3: React NextJS UI

  • To create a Next.js application, run the following command: npx create-next-app@latest
  • Start the Development Server: Navigate into the ui folder and run the app: cd ui npm run dev
  • Install Axios: Next, install Axios to handle API requests: npm install axios
  • Now, let's set next.js to 'use client', add imports, and create our interfaces.

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Sets are the Data Type Your Code Needs

  • A set is a unique unordered collection, which provides efficient item existence checks compared to arrays.
  • Using sets can enhance computational efficiency and reduce memory overhead by storing only unique elements.
  • Sets in Ruby are implemented using hashes, offering constant time lookup regardless of set size.
  • Sets ensure guaranteed uniqueness, offer performance advantages, and support mathematical set operations.
  • To start using sets in Ruby, you need to add the 'set' library, as sets are part of the standard library.
  • Sets can be created from arrays, and duplicates are automatically removed upon set creation.
  • Operations in sets like union, intersection, difference, and symmetric difference are available for efficient data manipulation.
  • Sets support methods for adding, removing, and checking membership of elements.
  • Use sets when uniqueness and fast membership checks are crucial, while arrays are preferred for ordered data and when duplicates hold significance.
  • Additional resources provided for further learning on sets and Ruby programming.

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Day 1126 : Laser

  • A professional worked on coding, adding functionality to a project and testing it. Managed to make Web Components work in a Vue application.
  • Research on laser engraving 3D printed parts led to ordering a laser module for the large format 3D printer and organizing items for the shed.
  • A new 3D printer was purchased, which will expand project possibilities. Feedback on a test pressing for vinyl records was positive.
  • To save money, the professional utilized a 30-day price match guarantee for discounted purchases and planned to go through tracks for a radio show.

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Secure OTP Generation & Management in a Modern Node.js Stack

  • The article discusses a secure approach to OTP generation and management in a Node.js environment, emphasizing the importance of user verification mechanisms.
  • It outlines using Node.js's crypto module for OTP generation, scheduling cleanup of expired OTPs with node-cron, and integrating OTP flow in an email verification use case.
  • The methodology incorporates TypeScript for type safety and PostgreSQL for data integrity, catering to the needs of decision-makers and senior engineers.
  • Setting up the project involves initializing a Node.js project with TypeScript for strict typing and scalable code maintenance.
  • Key dependencies like crypto for secure random number generation, node-cron for task scheduling, and pg for PostgreSQL operations are installed.
  • Database configuration in PostgreSQL with a dedicated table for storing OTP codes ensures data integrity and scalability.
  • OTP generation using Node.js's crypto module follows a secure approach with customization options for character sets.
  • Integration into an email verification workflow involves validating data, checking user verification status, generating OTPs, and sending them via email.
  • Automated cleanup of expired OTPs is achieved through a cron job that regularly purges obsolete entries from the database.
  • The architecture presented combines secure OTP generation, TypeScript usage, and scheduled cleanup for a scalable and reliable user verification system.

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Mastering and Learning HTML & CSS in 2025

  • CSS Subgrid, Container Queries, CSS Nesting, and Logical Properties are among the modern technologies and trends in HTML & CSS in 2025.
  • Project-based learning, following experts, reverse-engineering websites, mastering browser DevTools, using AI tools, and contributing to open source are the best ways to learn HTML & CSS in 2025.
  • Keeping it semantic and accessible, using modern layout techniques like Grid & Flexbox, optimizing for performance, embracing dark mode and theming, and testing responsiveness efficiently are the best techniques for writing modern HTML & CSS.
  • HTML and CSS are evolving rapidly in 2025, offering more powerful and flexible ways to build web applications. Developers are encouraged to stay updated, experiment, and build amazing web experiences.

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Is Your Code a Swiss Army Knife or a Master Blueprint? Unraveling the Mystery of Interfaces vs. Abstract Classes

  • Interfaces and abstract classes are both important constructs in object-oriented programming.
  • Interfaces provide flexibility and allow multiple implementations, like a versatile Swiss Army knife.
  • Abstract classes provide a detailed framework for design, like a custom-built blueprint for a treehouse.
  • Interfaces are popular in modern Java programming as they allow for mixing and matching behaviors.

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Medium

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You’re Not Interviewing the Company

  • Software developer interviews are often presented as two-way conversations, but they are often controlled by the company's agenda.
  • Candidates have limited ability to ask questions or assess the company during the interview process.
  • The company can ask anything, making it difficult to learn about the company's culture or values from their questions.
  • As a result, candidates may unknowingly ask questions that harm their chances of getting the job.

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