The Latest and Popular SDLC Topics

Vercel AI SDK Middleware vs Genkit Middleware: A Hands-On Comparison

A side-by-side comparison of the two leading middleware systems in the JS/TS Gen AI ecosystem: Vercel AI SDK and Genkit.

May 15, 2026

by Xavier Portilla Edo

CORE

· 1,395 Views · 1 Like

Your Identity Governance Is Lying to You

Legacy identity governance fails in modern cloud environments. Learn how event-driven, AI-assisted models improve access control and reduce security risks.

May 15, 2026

by Vishal Kumar Thedlapally

· 1,988 Views · 3 Likes

Content Lakes: Harness Unstructured Data for Enterprise AI Readiness

Harness unstructured data by transforming "dark data" into AI-ready assets through serverless orchestration and intelligent enrichment.

May 14, 2026

by Niranjan Yadavali

· 2,069 Views

Beyond Algorithms: The Human Element in AI-Driven Cybersecurity

AI is pushing cybersecurity from reactive defense to proactive intelligence — but human judgment, explainable AI, and ethical design remain essential.

May 14, 2026

by Vaishnavi Gudur

· 2,042 Views

How to Test a DELETE API Request With REST-Assured Java

This tutorial demonstrates how to test DELETE requests using Rest-Assured Java for API testing, including examples of deleting data.

May 14, 2026

by Faisal Khatri

CORE

· 2,101 Views

AI Agents Expose a Design Gap in Microservices Resilience Architecture

Microservices assume predictable callers. AI agents break this with non-deterministic calls, fan-out, and retries. Here are 5 core assumption breaks and fixes.

May 13, 2026

by Vineet Bhatkoti

· 4,229 Views · 1 Like

Readiness Is All You Need

AI work now hinges on reading, not prompting. Those who carefully read and question outputs outperform those who accept polished but flawed results.

May 13, 2026

by Nacho Corcuera

· 1,736 Views · 1 Like

Navigating the Complexities of AI-Driven Integration in Multi-Cloud Environments: A Veteran’s Insights

AI is transforming multi-cloud integration with real-time, decentralized, secure systems — improving compliance, APIs, and scalability across industries.

May 13, 2026

by Abhijit Roy

· 2,572 Views · 1 Like

You Learned AI. So Why Are You Still Not Getting Hired?

Most AI job seekers learn tools. Employers hire people who can specify tasks, evaluate outputs, manage risk, and deliver real business value with AI.

May 13, 2026

by Faisal Feroz

· 5,464 Views · 4 Likes

Stop Using the ATM-Didn’t-Kill-Jobs Story to Reassure Developers About AI

The ATM didn’t kill bank tellers’ jobs — the iPhone did. Getting the history right isn’t reassuring; it clarifies why developers should pay attention.

May 13, 2026

by Thomas Johnson

CORE

· 3,605 Views

Spec-Driven Integration: Turning API Sprawl Into a Governed Capability Fleet for AI

Alpha release of a new integration approach that translates your existing data and APIs into standardized APIs, MCP, and agent skills for AI.

May 13, 2026

by Kin Lane

· 1,848 Views

How to Build and Optimize AI Models for Real-World Applications

Building effective AI models for real-world applications requires clear problem definition, quality data, the right algorithms, continuous testing, and optimization.

May 13, 2026

by Mitchell Jhonson

· 1,521 Views

How to Test a PATCH API Request With REST-Assured Java

This tutorial demonstrates how to test PATCH requests using REST Assured in Java for API testing, including examples of partial data updates.

May 13, 2026

by Faisal Khatri

CORE

· 4,402 Views

LLM Integration in Enterprise Applications: A Practical Guide

LLM integration boosts efficiency, automates workflows, and sharpens decisions — but success hinges on strategy, execution, and business alignment.

May 13, 2026

by Lilly Gracia

· 2,122 Views

Solving the Mystery: Why Java RSS Grows in Docker on M1 Macs

Java apps running in x86-64 Docker containers on ARM64 M1 Macs experience mysterious RSS memory growth due to Rosetta 2 translation cache. The culprit? JIT compilation.

May 12, 2026

by Sumeet Sharma

· 3,946 Views · 1 Like

The Art of Token Frugality in Generative AI Applications

Trim your prompts, cache aggressively, route simple queries to smaller models, constrain your outputs, and swap JSON for TOON to lower token bills.

May 12, 2026

by Sibanjan Das

· 2,599 Views

Has AI-Generated SQL Impacted Data Quality? We Reviewed 1,000 Incidents

We analyzed 1,000 data pipeline incidents across 500+ environments and found that code-related failures still account for ~10% of all data quality issues.

May 12, 2026

by Lior Gavish

· 2,832 Views

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

· 2,938 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

· 2,028 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

· 1,428 Views

The Latest Popular Topics