The Latest and Popular SDLC Topics

Coordinating AI Agents With AWS SQS: A Practical Queue-Based Architecture

AWS SQS helps multi-agent AI workflows handle retries, duplicates, and repeated failures with queues, idempotency, and DLQs.

July 30, 2026

by Lucas Yoon

· 2,241 Views · 3 Likes

Building a Config-Driven SOAP/REST Integration Layer: One Service, Many Protocols

Learn how to build protocol-agnostic middleware that supports SOAP and REST integrations with configurable authentication and customer-specific transformations.

July 30, 2026

by Balaji Venkatasubramaniyar

· 1,889 Views

What Is Agentic Test Creation and How Is It Different from AI Test Generation?

Every testing tool now advertises AI test generation. But many of them are just ChatGPT with a QA skin. Here’s how to tell the difference.

July 30, 2026

by John Vester

CORE

· 1,759 Views

Build Your Own Local AI QA Engineer With Docker, Ollama, LibreChat, and Playwright MCP

Learn how to build a completely local AI-powered QA Automation Engineer using Docker, Ollama, Qwen3:8b, LibreChat, and Playwright MCP.

July 30, 2026

by Faisal Khatri

CORE

· 7,550 Views

Real-Time Risk Signals for AI Agent Authorization

Static auth checks don't react mid-session. Wire SSF risk events to your PDP and block agents the moment something looks wrong.

July 29, 2026

by Vatsal Gupta

· 1,563 Views · 1 Like

This One Spring Data JPA Pattern Cleaned Up to 3 Years of Repository Debt

Stop adding repository methods every time a filter changes. JPA Specifications let you compose queries cleanly at runtime.

July 29, 2026

by Ramesh Bellamkonda

· 2,533 Views · 1 Like

AI in SRE: A Practical Autonomy Model for Self-Healing Infrastructure

A practical framework for graduated autonomy in self-healing infrastructure, covering three remediation tiers and policy-driven blast-radius controls for cloud SRE teams.

July 29, 2026

by Shraddhaben Gajjar

· 2,699 Views · 2 Likes

What Nobody Tells You About Running AI Models in Docker

At 2 am, a bloated 14GB Docker image with baked-in weights crashed our inference service; externalizing weights and rethinking GPU isolation fixed it.

July 29, 2026

by Pruthvi Raj Seknametla

· 34,375 Views · 2 Likes

AI Agents Are Exceeding Permissions at Scale. Here Are the Queries Your SIEM Is Missing.

Catch AI agents exceeding their permissions with copy-paste SIEM, Kubernetes, and cloud-audit queries you can run this sprint, most in under an hour.

July 29, 2026

by Nik Kale

· 1,337 Views

The Java Story: The Official Documentary Is Here

This traces Java’s evolution from Oak to a global software platform, revealing its impact on open source, standards, engineering, and the community behind it.

July 29, 2026

by Otavio Santana

CORE

· 2,419 Views · 1 Like

How to Protect Your AI Agents from Prompt Injection Attacks: An Active Defense Approach

Stop just blocking prompt injections. Learn how to use MIRAGE to trap AI agents in honeypots and force them to burn their own API tokens.

July 29, 2026

by Victoria Fonareva

· 2,819 Views

Why Standard Test Automation Misses the Failures That Matter in AI Agent Systems

Evaluation has real costs (inference spend, latency, storage) — budget for it explicitly, and treat every user-reported regression as a permanent new test case.

July 28, 2026

by Dimple Bajaj

· 2,400 Views · 2 Likes

AI-Native Developers: Why Fast Authoring Is Creating Bad Debuggers

AI lets juniors write code instantly, but leaves them unable to debug. With coding now being easy, debugging is the ultimate human superpower.

July 28, 2026

by Rakshath Naik

· 1,791 Views

How Does an LLM Request and Response Cycle Work? A Full Walkthrough

Learn how an LLM request and response cycle works, from the second you hit send to the moment the last word lands on your screen.

July 28, 2026

by NaveenKumar Namachivayam

CORE

· 2,406 Views · 2 Likes

From DevOps to AIOps: How Agentic AI Tamed Our Multi-Substrate Chaos

Legacy VMware on-prem, reactive AWS, and a ticket queue that never emptied — we deployed agentic AI across both substrates and changed how the team operates entirely.

July 27, 2026

by Mayank Jain

· 1,659 Views · 1 Like

Stop Fine-Tuning Everything: A Decision Framework for Model Adaptation

When to prompt, when to fine-tune, when to pre-train — a decision framework to get the most out of your data and the most bang for your buck.

July 27, 2026

by Supriya Vijay

· 2,206 Views

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

· 3,795 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

· 3,459 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

· 2,326 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

· 2,742 Views · 1 Like

The Latest Popular Topics