The Latest and Popular SDLC Topics

Securing Model Context Protocol Servers: 4 Gates From Code to Production

Secure MCP servers against prompt injection, data leaks, and denial-of-wallet with four practical, OWASP-aligned gates from code to production. Runnable code.

July 24, 2026

by Viquar Khan

CORE

· 4,116 Views · 2 Likes

Building a Runtime Control Plane for Agentic AI: Lessons From Shipping Real Agents in Production

Practical patterns, code examples, and hard-earned lessons from implementing enforceable guardrails around autonomous agents in real enterprise environments.

July 24, 2026

by Geetha Sreenivasa Rao Repalle

· 3,711 Views · 2 Likes

Building Production-Grade Semantic Search With GPT-5 and Microsoft Foundry, From Scratch

Learn key concepts like embeddings, vector search, chunking, hybrid search, semantic ranking, and how these pieces fit into a scalable, enterprise-grade AI application.

July 24, 2026

by Jubin Soni, FBCS

CORE

· 5,184 Views

Engineering Production Agentic Systems: An Introduction

Explore a three-part field manual on building reliable production AI agents through context engineering, guardrails, and human-in-the-loop architecture.

July 24, 2026

by Ram Ravishankar

· 3,140 Views · 1 Like

How to Build Living AI Coding Assistants With Quarkus Agent MCP

Supercharge local development with the standalone Quarkus Agent MCP server, allowing AI assistants to run, monitor, and debug Java applications.

July 23, 2026

by Daniel Oh

CORE

· 4,725 Views · 3 Likes

Why AI-Generated Code Fails Security Reviews 45% of the Time

AI coding tools produce security flaws in 45% of outputs, yet developers trust the code more despite no security gains in two years.

July 23, 2026

by sunil paidi

· 3,134 Views

Stop Writing If-Else Spaghetti: Architecting Cleaner Java with the Strategy Pattern

Stop writing messy nested conditionals. Learn how to combine Java Enums, Functional Interfaces, and Spring to build a scalable Strategy Pattern.

July 23, 2026

by Rahul Tewari

· 7,613 Views · 3 Likes

AI and Agentic: Promise, Peril, and Predictability

As the use of AI and agentic AI grows, organizations need to implement strong governance and guardrails to protect their users and themselves.

July 23, 2026

by Bikram Sinha

· 3,858 Views

Treat Your AI's Output Like User Input

AI's output is untrusted input. Validate it, fence it in, and never hand it raw to anything that can do damage — the same reflex you already have for form data.

July 23, 2026

by Naveen Birru

· 2,198 Views

How to Build a Solid Test Pipeline in the Era of Agentic AI Development

Learn to build a strong testing pipeline to ensure code quality, as in enterprises today most code is generated by AI agents at a huge volume and scale.

July 22, 2026

by Sai Rakshit Yerram

· 5,538 Views · 2 Likes

Refresh Token Rotation in Node.js: Stopping Token Theft Without Logging Users Out

Implementing refresh token rotation with reuse detection, a pattern that limits the damage of a stolen token while keeping legitimate users logged in.

July 22, 2026

by Bilal Azam

· 3,460 Views

React 19 Killed Half My Performance Optimization Code, and I'm Grateful

React 19's compiler eliminated most of my useMemo and useCallback code. Table virtualization, optimistic updates, and route splitting still need manual attention.

July 22, 2026

by Rohit G

· 5,914 Views · 1 Like

How Agentic AI Is Turning Traditional Automation Into a Tool Layer?

Agentic AI doesn’t replace traditional automation. It uses existing workflows, APIs, and systems as tools while handling decisions, exceptions, and complex tasks.

July 22, 2026

by Sagar Sahay Bhatnagar

· 3,591 Views

Tracing the Agentic Loop: Monitoring Multi-Round-Trip MCP Calls With OpenTelemetry

The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.

July 22, 2026

by Daniel Oh

CORE

· 3,451 Views · 1 Like

Building Production-Ready AI Vector Search in Databricks: Chunking, Embeddings, ML Pipelines, and RAG

Build production-ready Databricks vector search with chunking, embeddings, Delta sync, index freshness, version control, and governance.

July 22, 2026

by Seshendranath Balla Venkata

· 2,371 Views · 1 Like

The Production-Readiness Gap in AI-Generated Full-Stack Apps

AI-generated apps can look complete quickly, but production readiness still depends on security, backend design, data quality, and observability

July 22, 2026

by Satyam Nikhra

· 3,515 Views

Beyond the Model: Building Real-World Machine Learning

Learn how MSOE bridges the gap between machine learning theory and production systems through data pipelines, deployment, monitoring, and automation.

July 21, 2026

by Craig Hardy

· 2,928 Views

Will AI Keep Us Stuck in 2020 Architectures?

AI coding assistants are deeply fluent in current Spring conventions, which raises a real question: does that lock architecture into 2020-era patterns? It turns out, no.

July 21, 2026

by Daniel Sagenschneider

· 3,344 Views · 1 Like

Hardening MCP Gateways: Mitigating July 28 Security Risks in Java Applications

The latest MCP updates introduce security risks like protocol confusion. Quarkus mitigates these vectors using strict request filtering and enterprise security layers.

July 21, 2026

by Daniel Oh

CORE

· 3,572 Views

One Click From Requirements to Production: The Promise and the Reality

AI deployment demos always end before the hard part begins. Writing code is 20% of delivery. This article breaks down the hidden 80% that demos never show you.

July 21, 2026

by Sanketh Kumar Divveda

· 3,039 Views · 2 Likes

The Latest Popular Topics