The Latest and Popular SDLC Topics

Mastering the AWS Well-Architected AI Stack: A Deep Dive into ML, GenAI, and Sustainability Lenses

Use AWS’s ML, GenAI, and Sustainability lenses together to build AI systems that are production-ready, governed, cost-efficient, and energy-efficient.

February 27, 2026

by Jubin Abhishek Soni

CORE

· 1,627 Views · 1 Like

Rethinking Java Web UIs With Jakarta Faces and Quarkus

Do enterprise-grade Java applications really need heavy JavaScript libraries? This is the question to which we'll be trying to answer here.

February 27, 2026

by Nicolas Duminil

CORE

· 2,546 Views · 10 Likes

End-to-End Automation Using Microsoft Playwright CLI

Learn how Microsoft Playwright CLI enables token-efficient, scalable browser automation for AI coding agents, improving performance and reducing costs.

February 27, 2026

by Kailash Pathak

CORE

· 2,469 Views

Unified Intelligence: Mastering the Azure Databricks and Azure Machine Learning Integration

Bridge the gap between Big Data and production ML. Learn to integrate Azure Databricks with Azure Machine Learning for a seamless, scalable end-to-end MLOps workflow.

February 27, 2026

by Jubin Abhishek Soni

CORE

· 1,201 Views

Similarity Search on Tabular Data With Natural Language Fields

Let us break down relational data silos with vector embeddings, unifying numerical, categorical, and natural-language fields into one semantic representation.

February 27, 2026

by CORRADO DE BARI

· 855 Views

AWS Bedrock vs. SageMaker: Choosing the Right GenAI Stack in 2026

Deciding between Bedrock's serverless ease and SageMaker's deep control? This guide breaks down the 2026 AWS GenAI landscape for you.

February 26, 2026

by Jubin Abhishek Soni

CORE

· 1,368 Views · 1 Like

I Watched an AI Agent Fabricate $47,000 in Expenses Before Anyone Noticed

This explores AI agent failures with organizations deploying autonomous systems faster than their governance, monitoring, and security controls can safely support.

February 26, 2026

by Igboanugo David Ugochukwu

CORE

· 2,016 Views

A Practical Guide to Building Generative AI in Java

Genkit Java makes building generative AI features in Java finally simple. With typed inputs/outputs, structured LLM responses, built-in observability, a powerful DevUI.

February 26, 2026

by Xavier Portilla Edo

CORE

· 2,842 Views · 2 Likes

Intelligent Load Management for LLM Calls: From Static Rate Limits to Priority-Aware "Agent QoS"

Use a fair, priority-based tool scheduler instead of static rate limits, leveraging concurrency caps, signals, abort rules, and safe degradation.

February 26, 2026

by Anusha Kovi

CORE

· 932 Views

From Keywords to Meaning: The New Foundations of Intelligent Search

Learn about why keyword search fails at scale and how cloud-native vector databases enable semantic, AI-powered retrieval for smarter, more reliable results.

February 25, 2026

by Amit Kumar Padhy

· 919 Views

How We Cut AI API Costs by 70% Without Sacrificing Quality: A Technical Deep-Dive

Intelligent caching and model routing reduced our AI API costs from $12,340 to $3,680 per month. Production-tested optimizer. Open source. MIT license.

February 25, 2026

by Dinesh Elumalai

CORE

· 1,451 Views · 1 Like

Chunking Is the Hidden Lever in RAG Systems (And Everyone Gets It Wrong)

Chunking decisions made early in a RAG pipeline often determine whether retrieval works at all. Here is a practical look at why that matters.

February 25, 2026

by Anshul Sharma

· 1,058 Views

Cagent: Dockers newest low code Agentic Platform

Docker’s cagent is a new open-source, low-code/ YAML-centric AI agent builder and runtime. Instead of writing code, you describe agents and cagent runs them.

February 25, 2026

by Siri Varma Vegiraju

CORE

· 1,579 Views

How to Configure JDK 25 for GitHub Copilot Coding Agent

Set JDK 25 for the GitHub Copilot coding agent so it can build and test Java 25 projects while working on your tasks.

February 25, 2026

by Bruno Borges

· 2,184 Views · 2 Likes

How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide

A practical engineering guide to integrating an AI chatbot into your application, covering architecture, backend flow, NLP handling, security, testing, and deployment.

February 24, 2026

by Manthan Bhavsar

· 1,324 Views