The Latest and Popular SDLC Topics

GitHub Copilot's New AI Coding Agent Saves Developers Time – And Requires Their Oversight

GitHub has launched a powerful AI coding agent in Copilot that writes code, fixes bugs, and opens pull requests.

May 22, 2025

by Aminu Abdullahi

· 5,135 Views · 2 Likes

Intro to RAG: Foundations of Retrieval Augmented Generation, Part 2

Dive into different layers of retrieval-augmented generation, including vector RAG, graph RAG and agents, to explore how to create more powerful and effective AI systems.

May 22, 2025

by Jennifer Reif

CORE

· 2,498 Views · 3 Likes

AI Speaks for the World... But Whose Humanity Does It Learn From?

Generative AI claims to reflect humanity, but it mostly replicates the worldview of a connected, Western minority, shaping global outputs from partial data.

May 22, 2025

by Frederic Jacquet

CORE

· 2,745 Views · 1 Like

How to Merge HTML Documents in Java

Merging HTML content in Java is more challenging than it sounds. This article covers some major difficulties of merging HTML and suggests a few API solutions.

May 21, 2025

by Brian O'Neill

CORE

· 4,749 Views · 2 Likes

Enforcing Architecture With ArchUnit in Java

In this article, we will discuss implementing architectural rules in code using ArchUnit, emphasizing its effectiveness over traditional documentation.

May 21, 2025

by Gunter Rotsaert

CORE

· 7,390 Views · 8 Likes

Exploring Intercooler.js: Simplify AJAX With HTML Attributes

Discover how Intercooler.js makes AJAX simple using HTML attributes, no heavy JavaScript needed. A smart and lightweight alternative for dynamic pages.

May 21, 2025

by Nagappan Subramanian

CORE

· 3,939 Views · 1 Like

How To Introduce a New API Quickly Using Quarkus and ChatGPT

Stepping outside of my comfort zone, let’s see how quickly we can introduce an API-First-driven RESTful by leveraging ChatGPT, Quarkus, and Heroku.

May 21, 2025

by John Vester

CORE

· 16,132 Views · 3 Likes

The Future of Java and AI: Coding in 2025

Explore how Java developers are leveraging AI and modern frameworks like Quarkus to build cutting-edge applications in 2025.

May 21, 2025

by Daniel Oh

CORE

· 5,710 Views · 4 Likes

Securing the Future: Best Practices for Privacy and Data Governance in LLMOps

This article covers strategies for safeguarding sensitive data, enforcing compliance, and embedding responsible AI principles throughout the model lifecycle.

May 21, 2025

by Rajarshi Tarafdar

· 4,039 Views · 1 Like

Kullback–Leibler Divergence: Theory, Applications, and Implications

Kullback–Leibler divergence (KL divergence) is a statistical measure that quantifies how one probability distribution differs from a second reference distribution.

Updated May 20, 2025

by Shailendra Prajapati

· 3,041 Views

Building Reliable LLM-Powered Microservices With Kubernetes on AWS

This article explores how to design, build, and deploy reliable, scalable LLM-powered microservices using Kubernetes on AWS, covering best practices for infrastructure.

May 20, 2025

by Rajarshi Tarafdar

· 5,975 Views · 2 Likes

Building an AI/ML Data Lake With Apache Iceberg

Learn how Apache Iceberg powers AI/ML data lakes with time travel and schema flexibility, shown via a full Python-based feature store implementation.

May 20, 2025

by Anant Kumar

· 4,275 Views · 1 Like

Tired of Spring Overhead? Try Dropwizard for Your Next Java Microservice

You'll learn how to set up your first Dropwizard project, create a RESTful API, and run it with an embedded Jetty server — all using minimal boilerplate.

May 20, 2025

by Mohit Menghnani

CORE

· 6,608 Views · 5 Likes

Secrets Sprawl and AI: Why Your Non-Human Identities Need Attention Before You Deploy That LLM

Your RAG implementation can expose secrets in some unexpected ways. Secure your LLM deployments and scrub knowledge bases to prevent your secrets from leaking.

May 20, 2025

by Dwayne McDaniel

· 3,382 Views · 2 Likes

Operational Principles, Architecture, Benefits, and Limitations of Artificial Intelligence Large Language Models

Large Language Models (LLMs) are advanced AI systems that generate human-like text by learning from extensive datasets and employing deep learning neural networks.

May 19, 2025

by Venkata Suresh Babu Chilluri

· 3,316 Views · 1 Like

Navigating the LLM Landscape: A Comparative Analysis of Leading Large Language Models

Here is an in-depth analysis comparing top LLMs, including OpenAI and its exciting contenders like LangChain, Anthropic, Cohere, Google, and more.

Updated May 19, 2025

by Jorge Torres

· 3,931 Views · 2 Likes

AI-Driven Test Automation Techniques for Multimodal Systems

Learn how AI-powered test automation improves reliability and efficiency in multimodal AI systems by addressing complex testing challenges effectively.

May 19, 2025

by Gaurav Sharma

· 3,412 Views · 5 Likes