The Latest and Popular SDLC Topics

Bringing Intelligence Closer to the Source: Why Real-Time Processing is the Heart of Edge AI

Edge AI runs AI on devices for real-time decisions, cutting latency, boosting privacy, lowering costs, and working without internet for faster, reliable systems.

May 26, 2026

by Jitendra Bafna

· 2,793 Views

Beyond Partitioning and Z-Order: A Deep Dive into Liquid Clustering for Unity Catalog Managed Tables

Liquid Clustering replaces rigid partitioning and Z-Order with adaptive clustering in Unity Catalog, improving performance with less maintenance.

May 26, 2026

by Seshendranath Balla Venkata

· 2,598 Views · 1 Like

Rethinking Java CRUDs With Event Sourcing and CQRS Patterns

A short overview of the Event Sourcing and CQRS patterns, applied to Java CRUD applications, illustrated by a simple order management system.

May 26, 2026

by Nicolas Duminil

CORE

· 3,275 Views

Building Enterprise-Grade Real-Time IoT Dashboards with Vue 3, MQTT, and Kafka

Event-driven architecture using MQTT (device communication) → Kafka (durable streams) → WebSocket (browser push) → Vue 3 (reactive UI).

May 26, 2026

by Venkata Sandeep Dhullipalla

· 2,077 Views

The Developer's Guide to Context-Aware AI: When Your Code Documentation Becomes Intelligent

RAG turns developer documentation into a context-aware AI assistant that answers questions using your actual code and docs.

May 26, 2026

by Daulet Amirkhanov

· 1,311 Views

Build Self-Managing Data Pipelines With an LLM Agent

A practical, step-by-step guide to building an LLM-driven orchestrator with safety guardrails, autonomous recovery, and lower operational cost for data pipelines.

May 25, 2026

by Naga Krishna Reddy Muppidi

· 2,381 Views

Building Production-Grade GenAI on GCP with Vertex AI Agent Builder

GenAI is easy to prototype but hard to productionize. Vertex AI Agent Builder provides a unified platform for RAG, orchestration, security, and scalable deployment.

May 25, 2026

by Sairamakrishna BuchiReddy Karri

· 1,845 Views

LLM Agents and Getting Started with Them

As LLM agents take the center stage in 2026, let's discuss what are LLM agents and how to get started with creating one.

May 25, 2026

by Harshita Asnani

· 1,532 Views

A Deep Dive into Tracing Agentic Workflows (Part 1)

Agentic systems fail silently — loops, hallucinations, corrupted state. You can't debug or improve what you don't trace.

May 22, 2026

by VIVEK KATARYA

· 2,959 Views

What Nobody Tells You About Multimodal Data Pipelines for AI Training

Hard lessons from building multimodal data pipelines at scale — the unglamorous work where most AI projects quietly fall apart.

May 22, 2026

by Yunfei Zhao

· 2,401 Views

Why AI-Generated Code Breaks Your Testing Assumptions

AI generates code faster than tests can cover. Coverage stays green while gaps grow. Treat AI code as untested by default and scale testing to match generation speed.

May 22, 2026

by Oliver Howard

· 2,879 Views

From Data Movement to Local Intelligence: The Shift from Centralized to Federated AI

Centralized AI moves data to models; federated AI moves models to data — enabling real-time, privacy-preserving learning across distributed systems.

May 22, 2026

by Jitendra Bafna

· 2,119 Views · 1 Like

Why Knowing Your LLM Hallucinated Is Not Enough

"Hallucinated: true" tells you something went wrong. Typed detection tells you which subsystem failed, why it failed, and how to fix it.

May 22, 2026

by Praveen Kumar Myakala

· 1,793 Views

11 Agentic Testing Tools to Know in 2026

This article is a review of tools used to autonomously plan, generate, maintain, and execute tests.

May 22, 2026

by Alvin Lee

CORE

· 2,640 Views

Stop Poisoning Your Models: How I Built a CV Dataset Quality Toolkit I Can Reuse Forever

CV data issues keep recurring. I built cv-quality — a toolkit to audit datasets, catch annotation errors, find mislabeled samples, and streamline labeling.

May 22, 2026

by Sai Teja Erukude

· 2,251 Views

Self-Hosted Inference Doesn’t Have to Be a Nightmare: How to Use GPUStack

GPUStack is an open-source tool that turns a bunch of scattered GPU machines into one managed cluster for deploying AI models behind an OpenAI-compatible API.

May 21, 2026

by Sandeep Sadarangani

· 3,791 Views · 1 Like

Throughput vs Goodput: The Performance Metric You Are Probably Ignoring in LLM Testing

See the difference between throughput and goodput, and why throughput alone can give you a dangerously false sense of confidence.

May 21, 2026

by NaveenKumar Namachivayam

CORE

· 2,958 Views

Fact-Checking LLM Outputs Programmatically: Building a Verification Layer That Catches Hallucinations

LLMs confidently hallucinate plausible data and asking them to "be careful" doesn't fix it. The most effective safeguard is an automated verification layer.

May 21, 2026

by Raviteja Nekkalapu

· 1,634 Views