The Latest and Popular SDLC Topics

Observability in AI Pipelines: Why “The System Is Up” Means Nothing

AI systems can be fully “up” yet behave unpredictably, expensively, or incorrectly. Observability must track job state, retries, token usage, and cost.

March 17, 2026

by Aditya Gupta

· 3,298 Views · 1 Like

When Similarity Isn’t Accuracy in GenAI: Vector RAG vs GraphRAG

Vector RAG is good for semantically similar retrieval, but GraphRAG adds missing entity relationships and reasoning required for deterministic entity grounding.

March 17, 2026

by Birendra Kumar

· 3,494 Views · 1 Like

Production LLM Data Extraction Pipeline With LaunchDarkly and Vercel AI Gateway

Build a pipeline that extracts structured fields from raw transcripts (sentiment scores, urgency signals, buying intent) and feeds them straight into your ML models.

March 16, 2026

by Scarlett Attensil

· 3,222 Views · 2 Likes

Online Feature Store for AI and Machine Learning with Apache Kafka and Flink

Real-time feature store powered by Apache Kafka and Flink enable fast, scalable AI personalization with fresh data and low-latency processing.

March 16, 2026

by Kai Wähner

CORE

· 2,790 Views · 1 Like

Agentic AI: Autonomous AI Agent With PostgreSQL

Agentic AI builds goal-driven systems with planning, tools, memory, and state. This guide shows how to build one with PostgreSQL.

March 16, 2026

by Damil Shahzad

· 3,688 Views · 3 Likes

How Multimodal AI Is Reshaping Kubernetes Workflows: Future-Proofing Your Platform

Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.

March 16, 2026

by Vamshidhar Parupally

· 3,515 Views

8 Core LLM Development Skills Every Enterprise AI Team Must Master

Learn all about the eight essential LLM development skills every enterprise AI team must master for production-ready, scalable, and auditable AI systems.

March 16, 2026

by Ram Ghadiyaram

CORE

· 4,267 Views · 1 Like

Stranger Things in Java: Enum Types

Java enum types are more than named constants. This article explains how they work and why they matter in real Java applications.

March 16, 2026

by Claudio De Sio Cesari

· 4,334 Views · 1 Like

Beyond the Chatbot: Engineering a Real-World GitHub Auditor in TypeScript

Learn to architect and build an autonomous GitHub triage agent using TypeScript and LangChain that is intelligent enough to be a senior maintainer.

March 13, 2026

by Anujkumarsinh Donvir

CORE

· 3,018 Views · 1 Like

Extending Java Libraries with Service Loader

How to dynamically use Java’s Service Loader to discover and load SPI implementations at runtime for plugin-like extensions.

March 13, 2026

by Dominik Przybysz

· 3,582 Views · 3 Likes

Engineering an AI Agent Skill for Enterprise UI Generation

How we built ZUL-writer: an agent skill that turns textual requirements and UI mockups into production-ready front-end code (ZUL) and Java controller templates.

March 13, 2026

by Hawk Chen

CORE

· 4,163 Views · 2 Likes

Building an AI-First Enterprise: Multi-Agent Systems, DSLMs, and the New SDLC in 2026

AI systems now function as dependable work execution engines, performing tasks that go far beyond basic chatbot capabilities through multi-agent systems.

March 13, 2026

by Kaleeswaran Muthupandi

· 3,403 Views

Google Cloud AI Agents With Gemini 3: Building Multi-Agent Systems That Actually Work

Build and scale multi-agent systems using Gemini 3 on Google Cloud Vertex AI, featuring code and architecture for technical experts.

March 12, 2026

by Jubin Abhishek Soni

CORE

· 5,430 Views · 2 Likes

What's New in Java 25: Key Changes From Java 21

In this article, we analyze the key Java 25 features and changes from Java 21, including Gatherers, JEPs, and simplified coding examples for faster adoption.

March 12, 2026

by Gunter Rotsaert

CORE

· 5,030 Views · 1 Like

The Global Race to Govern AI Agents Has Begun

Moltbook’s collapse and Singapore’s IMDA framework reveal why agentic AI needs new governance models — and how enterprises can apply them today.

March 12, 2026

by Karthik Mahalingam

· 3,834 Views

Escaping the “Demo Trap”: A Guide to Engineering Reliable AI Agents

The Agent Development Kit enforces modularity and type safety to decouple logic from models, ensuring agents remain durable assets despite rapid technology shifts.

March 12, 2026

by Rudrendu Paul

· 2,664 Views · 1 Like

The Human Bottleneck in DevOps Automating Knowledge with AIOps and SECI

DevOps pipelines are often automated, yet operations side remains surprisingly manual. Here’s a framework to reduce toil using AIOps and the SECI model.

March 12, 2026

by Soiure Coure

· 2,970 Views

Cost Control in AI Systems Is an Architectural Problem

In AI systems, rising costs are often architectural, not pricing. Retries, latency, and duplicate work multiply usage. Idempotency and boundaries control cost.

March 12, 2026

by Aditya Gupta

· 2,820 Views

Essential Techniques for Production Vector Search Systems, Part 4: Multi-Vector Search

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

March 12, 2026

by Pavan Vemuri

CORE

· 2,453 Views · 1 Like

DataFlow — An Open-Source Data Preparation System Accelerating LLM Training

As data preparation becomes critical to LLM training, DataFlow emerges as an open-source system designed to automatically and systematically produce AI-ready data.

March 11, 2026

by Nan Xiang

· 3,924 Views · 1 Like

The Latest Popular Topics