The Latest and Popular SDLC Topics

Code Quality Had 5 Pillars. AI Broke 3 and Created 2 We Can’t Measure

AI-generated code broke three of the five classical non-functional quality pillars — readability, maintainability, and security — while creating two new dimensions

May 12, 2026

by Abgar Simonean

· 2,762 Views · 3 Likes

You Secured the Code. Did You Secure the Model?

AppSec focuses only on code, leaving AI supply chains exposed. Effective security embeds AI checks into workflows, scanning PRs and AI components continuously.

May 12, 2026

by Eran Kinsbruner

· 1,941 Views

Scalable Support Request Analysis Using Embeddings, HDBSCAN, and Tiny LLMs

Effective use of historical data to classify support requests into buckets and identify emerging or slightly different patterns.

May 12, 2026

by Jijo Puthalath

· 1,339 Views

AI in Software Development: A Mirror, Not a Magic Wand

AI doesn’t replace engineering discipline; it amplifies it. Used carefully, AI speeds up good design and clean code; used carelessly, it accelerates technical debt.

May 11, 2026

by Jonathan Dodd

· 2,739 Views · 4 Likes

AI-Driven Integration in Large-Scale Agile Environments

Learn how AI integrates with Agile at scale, improving velocity and insights while requiring human oversight, bias control, and continuous feedback.

May 11, 2026

by Abhijit Roy

· 2,717 Views · 1 Like

Stop Using Python for Your GenAI Apps, Use Go and Genkit Instead

Python has dominated the GenAI conversation, but it is neither the only nor the best option for production. Here is why Go is a stronger bet.

May 11, 2026

by Xavier Portilla Edo

CORE

· 1,996 Views · 1 Like

How to Effectively Evaluate a Ranking ML System

Evaluating ranking systems requires more than offline metrics. Learn how to use offline, online, and business metrics to measure real impact.

May 11, 2026

by Muthukumaran Vaithianathan

· 2,132 Views

Hallucination Has Real Consequences — Lessons From Building AI Systems

This article explains why hallucinations happen, the types, and practical ways to reduce them using RAG, low temperature, guardrails, and validation layers.

May 11, 2026

by Ram Ghadiyaram

CORE

· 2,491 Views · 2 Likes

Improving Java Application Reliability with Dynatrace AI Engine

Leverage Dynatrace’s AI-powered observability to automatically detect anomalies, pinpoint root causes, and prevent performance issues in Java applications.

May 11, 2026

by Ramya vani Rayala

· 1,905 Views · 1 Like

Building a Production-Ready AI Agent in 2026: Beyond the Hello World Demo

Stop treating AI agents like prompts — treat them like software. To ship in 2026: validated tool contracts, tiered memory, RAG grounding, and deep observability.

May 8, 2026

by Nikita Kothari

· 3,169 Views · 2 Likes

When Angular APIs Return 200 but the Frontend Is Already Failing Users

HTTP 200 can lie, validate payloads in your RxJS pipe, convert failures to real errors, and never let shareReplay cache bad data permanently.

May 8, 2026

by Bhanu Sekhar Guttikonda

CORE

· 1,986 Views · 2 Likes

Beyond SOLID: Embracing CUPID for Modern Software Craftsmanship

CUPID shifts focus from rigid SOLID rules to practical, human-centric principles that make code composable, idiomatic, and enjoyable to maintain.

May 8, 2026

by Nikita Kothari

· 2,548 Views · 3 Likes

The Only AI Test That Still Humbles Every Machine on Earth

ARC-AGI shows the real gap in AI: humans generalize fast in new situations, while top models still struggle with true adaptive reasoning.

May 8, 2026

by Faisal Feroz

· 3,485 Views · 1 Like

Custom Model Context Protocol (MCP) for NL2SQL: A Rigorous Evaluation Framework on Oracle Database

Used MCP to evaluate LLM-generated SQL on Oracle: baseline vs MCP, comparing semantics, order, strings, and EXPLAIN PLAN on 500-query TPC-H.

May 8, 2026

by Sanjay Mishra

· 1,977 Views

RAG Done Right: When to Use SQL, Search, and Vector Retrieval and How To Combine Them

RAG failures stem from retrieval, not models. Replace one-size-fits-all vector search with a decision framework, hybrid flow, and guardrails for reliable systems.

May 8, 2026

by Ram Ghadiyaram

CORE

· 2,988 Views · 5 Likes

How AI Is Rewriting Full-Stack Java Systems: Practical Patterns with Spring Boot, Kafka and WebSockets

Decouple heavy processing with Spring Boot, Kafka, and WebSockets: AI consumers analyze events asynchronously, while WebSockets deliver real-time insights to users.

May 8, 2026

by Ramya vani Rayala

· 2,827 Views · 1 Like

How to Implement AI Agents in Rails With RubyLLM

Learn how to implement your first AI agents with the help of RubyLLM. Define a chat interface with access to a set of SERP tools that LLM models can use in their work.

May 7, 2026

by Josef Strzibny

· 1,973 Views · 2 Likes