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Is AI Coding Cheating? A Tale of Slowpoke and Speedy

  • Using AI to write code presents a dilemma for developers.
  • While AI can speed up the coding process, there is a concern over it being considered cheating or dishonest.
  • Some believe that AI coding is a game-changer, while others see it as a moral quagmire.
  • Using AI for the initial 90% of the code allows developers to save time, but the last 10% still requires human effort.

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Unleashing Agentic AI: How RAG and Modern Tools Are Powering Autonomous Intelligence”

  • Agentic AI refers to autonomous systems built around large language models (LLMs) that can set goals, retrieve information, and accomplish complex tasks.
  • The key enabler of this capability is the use of Retrieval-Augmented Generation (RAG), which combines a retriever and generator to provide up-to-date, context-aware responses.
  • Popular engines and frameworks for Agentic AI include LangChain, LlamaIndex, OpenAI Assistant API, Auto-GPT/BabyAGI, and CrewAI/AgentVerse.
  • Benefits of Agentic AI include scalability, customization, automation, and 24/7 availability, while challenges include reliability, security, costs, and debugging.

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How Python’s strip() Method Transformed My Data Cleaning Process

  • Python's strip() method is a powerful tool for cleaning up strings in data analysis and web development.
  • It can remove whitespace characters, like spaces, tabs, and newlines, from the beginning and end of a string.
  • However, it can also remove any combination of characters passed as an argument.
  • This makes strip() incredibly versatile for a wide range of data cleaning tasks.

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Agile is Broken: Here’s How It’s Destroying Engineering Teams

  • Daily standups, sprint planning, and other Agile ceremonies have become box-checking exercises, leading to meeting fatigue and decreased productivity.
  • Agile tools and practices have turned into surveillance systems, micromanaging developers and creating a culture of fear instead of trust.
  • The focus on pushing something "shippable" every two weeks leads to short-term thinking and accumulating technical debt.
  • Strict adherence to process trumps developer input, hindering collaboration and team morale.

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Dev

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I made a project in Golang with no packages or libraries (also not ORM's)

  • The project undertaken in Golang with no packages or libraries focused on optimizing database performance, handling high concurrency, and processing large data volumes efficiently.
  • The project involved reconciling different types of invoices by parsing XML files obtained through an API or dynamic database location, followed by saving reconciliation data in a database.
  • The decision to use Golang without external packages was to have full control over database operations, including queries, indexes, and table configurations, catering to specific project requirements.
  • High concurrency was managed by implementing numerous goroutines and channels to handle data flow effectively from various sources.
  • The project structure included folders for configuration, controllers, database operations, HTTP handlers, interfaces, middleware, models, routes, services, and utilities.
  • Database configuration settings in PostgreSQL were finely tuned for performance, encompassing memory allocation, WAL buffer size, synchronous commit, checkpoint intervals, and parallel worker process settings.
  • Critical indexes were utilized in the database schema to optimize query performance, including primary key indexes, foreign key indexes, lookup indexes, and business logic indexes.
  • XML data extraction and processing in Golang were facilitated by defining structured interfaces for parsing complex XML structures, simplifying data extraction and manipulation.
  • Concurrency was crucial in the project to enhance data processing speed, utilizing goroutines and channels for efficient data handling and processing.
  • Completing the project without external dependencies in Golang provided advantages like performance control, minimal dependency management challenges, smaller binary size, deep system understanding, and leveraging Go's core strengths like concurrency and extensive standard library.

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Dev

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Your Feedback Form is Lying to You

  • Most Feedback Forms Are Dead Ends
  • You’re Not Collecting Feedback. You’re Collecting Complaints.
  • What Real Feedback Looks Like
  • Why We Built Our Own

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Towards Data Science

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Are You Sure Your Posterior Makes Sense?

  • Parameter estimation has been a crucial topic in statistics with the rise of Bayesian methods alongside frequentist approaches.
  • This article aims to assist data scientists in evaluating the reliability of the sampling process in Bayesian parameter estimation.
  • Bayesian methods offer statisticians both point estimates and confidence intervals informed by prior knowledge.
  • Posterior distribution estimation is essential and can be done using sampling algorithms like MCMC methods.
  • Sampler diagnostics, such as R-hat and Effective Sample Size (ESS), are vital for ensuring accurate posterior estimations.
  • Visualization tools like rank plots, trace plots, and pair plots aid in diagnosing sampling issues in MCMC algorithms.
  • Reparameterization, adjusting hyperparameters, and using better proposal distributions are strategies to address sampling problems.
  • Improving prior specifications and considering simpler models can also help in achieving effective sampling in Bayesian parameter estimation.
  • Ensuring robust analysis through diagnostic metrics and thoughtful modeling decisions reduces the risk of misleading inferences.

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Programming Session key Switch, Case, default,break.

  • The switch statement in Java allows executing different code blocks based on an expression's value, replacing lengthy if-else chains for multiple constant comparisons.
  • The basic syntax of a switch statement includes the switch expression, cases with values to compare, a default case for unmatched values, and break statements to prevent fall-through.
  • Switch statement works with primitive types, wrapper classes, strings (since Java 7), and enum types.
  • Cases in a switch statement must be constants or literals matching the switch expression type.
  • The break statement terminates a switch block, preventing the execution from falling through to the next case.
  • Default case in a switch statement is optional and executes when no other cases match.
  • Switch statement is useful for comparing a single variable against multiple constant values, providing clean code and potential performance optimization.
  • Enhanced switch expressions in Java 12+ and yield in Java 13+ offer more concise syntax for switch statements.
  • Switch vs. if-else chains differ in purpose, readability, performance, expression types, and behavior regarding fall-through.
  • Switch is preferable for discrete values, more than 3-4 conditions, readability improvement with case labels, and scenarios where performance optimization matters.

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10 Code Snippets Every New Programmer Should Memorize

  • Starting to code can feel like learning a foreign language. But don’t worry — you don’t need to learn everything at once. Here are 10 core code snippets every beginner should understand and memorize.
  • The 'for' loop: Repeats an action a specific number of times.
  • The 'if' statement: Checks if something is true and runs a block of code based on that.
  • Real-life example: Checking if someone can vote, drive, or access content based on their age.

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Stream Logs from Docker to Grafana Cloud with Alloy

  • Setting up logging inside containers can be annoying, but Grafana Alloy simplifies the process.
  • A Flask server running inside a Docker container can send logs to Grafana Cloud using Grafana Alloy without host volumes.
  • The process involves setting up Grafana Cloud, creating a Flask app with logging, and configuring Alloy and Loki.
  • With this setup, logs from the Flask app are sent to Grafana Cloud, making it easier to manage and analyze the logs.

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Jakarta EE 11 Web Profile released, enabled by Eclipse GlassFish

  • The Jakarta EE 11 Web Profile has officially been released on March 30, 2025, bringing a cleaner, more modern baseline to the Jakarta EE platform.
  • Key technical changes include modern Java compatibility, deeper CDI integration, introduction of Jakarta Data 1.0, and updates to several specifications.
  • GlassFish, maintained in the Eclipse EE4J top-level project, was the first compatible implementation of the Jakarta EE 11 Web Profile, ensuring TCK compliance.
  • OmniFish engineering team contributed to the release cycle, including updates to specifications and improvements to GlassFish and Jakarta EE runtime.

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Everyone’s Saying This Is the New Programming Language. Is It?

  • The focus in the tech world has shifted from programming languages to AI tools and automation.
  • There is a growing debate on whether it is necessary to learn traditional programming languages.
  • AI tools, like ChatGPT, are being used by students and professionals for various tasks.
  • Instead of building expertise in programming, some developers rely on AI to write and debug code.

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Sdtimes

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April 11, 2025: AI updates from the past week — Google’s new tools for building AI agents, agent mode in GitHub Copilot, and more

  • Google introduced the Agent Development Kit (ADK) and Agent2Agent (A2A) protocol for building and deploying AI agents.
  • GitHub Copilot released agent mode for suggesting terminal commands and analyzing run-time errors.
  • Microsoft updated Copilot to be more personalized, with features like Deep Research and Actions.
  • Amazon introduced Nova Sonic, a speech-to-speech model for conversational AI.
  • Google moved Gemini 2.5 Pro to public preview within the Gemini API, offering it through Vertex AI.
  • Meta launched the Llama 4 models, including Behemoth, Maverick, and Scout.
  • Cloudflare unveiled a remote MCP server to streamline the creation of AI agents.
  • Progress included AI features in Sitefinity 15.3 like content summarization and AI translation.
  • Sitefinity also offers capabilities for improving writing, personalized messaging, and generating tag suggestions.
  • AI advancements are transforming digital content creation and experiences, enhancing competitiveness in the AI-driven world.

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Build Modern Maps in Next.js with Mapbox and shadcn/ui

  • The article discusses building a modern mapping application using Mapbox GL JS, Next.js, shadcn/ui components, and Tailwind CSS.
  • It highlights the benefits of using Mapbox as a cost-effective alternative to Google Maps for scalable apps.
  • The article guides through project setup, environment variables setup, and project structure.
  • It covers creating a Map Context and Map Provider for managing the Mapbox instance.
  • Components like Custom Marker, Popup, Map Controls, and Map Styles are built for enhancing map functionality.
  • Search functionality is implemented to find locations on the map with auto-suggestions.
  • Custom Location Marker and Popup components are created for displaying markers and popups on the map.
  • Styling the map with Tailwind CSS is discussed along with the custom Mapbox popup styling.
  • Key features include modular architecture, responsive design, dark mode support, custom markers/popups, search functionality, and map controls.
  • The article suggests possible future additions like marker clustering, user geolocation, route directions, heatmaps, and unit tests for map logic.

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Javacodegeeks

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OpenTelemetry with Spring Boot: Modern Distributed Tracing

  • OpenTelemetry is replacing traditional tracing tools like Zipkin and Jaeger.
  • OpenTelemetry offers standardized APIs, auto-instrumentation, and unified observability.
  • The article provides a guide on how to integrate OpenTelemetry with Spring Boot.
  • It also covers best practices for distributed tracing and visualizing traces with Jaeger, Zipkin, and Grafana.

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