AI/ML Resources

Manual Investigation: The Hidden Bottleneck in Incident Response

Learn about why engineers are stuck investigating instead of fixing and how AI is changing the investigation process for modern systems.

May 18, 2026

by Brian Kaufman

· 1,790 Views

Genkit Middleware: Intercept, Extend, and Harden your Gen AI Pipelines

A deep dive into the new Genkit middleware system for JavaScript/TypeScript: built-in middleware, how to build your own.

May 18, 2026

by Xavier Portilla Edo

CORE

· 3,063 Views

Building an Image Classification Pipeline With Apache Camel and Deep Java Library (DJL)

This tutorial shows how to build an image classification pipeline entirely in Java using Apache Camel and Deep Java Library (DJL).

May 15, 2026

by Vignesh Durai

· 3,413 Views · 1 Like

The Agent Protocol Stack: MCP vs. A2A vs. AG-UI

Three protocols are shaping how AI agents interact with tools, other agents, and users. Here's what each one does, how they fit together, and when to reach for which.

May 15, 2026

by Jubin Soni, FBCS

CORE

· 3,921 Views

Context-Aware Authorization for AI Agents

Modern agentic AI systems introduce new security risks as LLMs act as privileged deputies, mapping threats to the Confused Deputy problem and proposing policy guardrails.

May 15, 2026

by Abhinav Srivastava

· 1,828 Views · 1 Like

Can Claude Skills Replace Playwright Agents? A Practical View for QA Engineers

Claude+Playwright ≠ true agent: it’s workflow-driven (run→fix→rerun). Agents adapt in real time. Best: combine both for resilient, low-maintenance QA.

May 15, 2026

by Kailash Pathak

CORE

· 1,714 Views

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

· 1,455 Views · 2 Likes

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

· 2,064 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

· 2,193 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

· 2,091 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

· 4,336 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

· 1,789 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

· 2,651 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

· 5,637 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

· 3,791 Views · 1 Like

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

· 1,910 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

· 1,564 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

· 2,259 Views

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

· 2,896 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

· 2,963 Views

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