AI/ML Resources

Fact-Checking LLM Outputs Programmatically: Building a Verification Layer That Catches Hallucinations

LLMs confidently hallucinate plausible data and asking them to "be careful" doesn't fix it. The most effective safeguard is an automated verification layer.

May 21, 2026

by Raviteja Nekkalapu

· 1,671 Views

Dear Micromanager: Your Distrust Has a Job; It’s Just Not the One You’re Doing

Dear micromanager, your distrust has a job — it’s just not the one you’re doing; learn about the role of the Verification Architect.

May 21, 2026

by Stefan Wolpers

CORE

· 2,489 Views

AI Agents in Java: Architecting Intelligent Health Data Systems

This article explores designing AI agents in Java for intelligent healthcare systems using event-driven architectures for secure, scalable data processing.

May 20, 2026

by Ramya vani Rayala

· 1,860 Views · 1 Like

No More Cheap Claude: 4 First Principles of Token Economics in 2026

The era of subsidies is over. Adjust your way of using models accordingly.

May 20, 2026

by Stefan Wolpers

CORE

· 2,836 Views

Beyond Chatbots: How AI Is Rewriting Entire Business Models

In this article, we will be talking about how Artificial Intelligence is going far beyond chatbots and is actively rewriting entire business models across industries.

May 20, 2026

by Anita Shah

· 1,086 Views

Context Is the New Schema

Explains context engineering as a structured approach to managing AI context, drawing parallels to dimensional modeling to improve reliability and consistency.

May 20, 2026

by Sibanjan Das

· 881 Views

How AI Coding Assistants Are Changing Developer Flow

In this article, I want to share our team's experience in applying AI to accelerate development, covering both the benefits and risks.

May 20, 2026

by Mykhailo Kopyl

· 1,461 Views

Improving DAG Failure Detection in Airflow Using AI Techniques

A practical approach to enhancing DAG failure detection using AI to improve pipeline reliability and enable proactive intervention in large-scale data environments.

May 19, 2026

by Bruno Bocardo Guzoni

· 1,977 Views · 1 Like

Agentic Testing: Moving Quality From Checkpoint to Control Layer

Learn how agentic testing reshapes QA by adding governance, traceability, and accountability to AI-driven workflows, ensuring speed doesn’t compromise quality.

May 19, 2026

by Kailash Pathak

CORE

· 1,723 Views

S3 Vectors: How to Build a RAG Without a Vector Database

You don't need a vector database anymore. S3 Vectors gives you native vector storage + similarity search, serverless, at up to 90% less cost

May 19, 2026

by Jubin Abhishek Soni

CORE

· 1,493 Views

Key Takeaways From Integrating a RAG Application With LangSmith

Learn how to integrate LangSmith with a RAG application to trace workflows, debug issues, and analyze performance, token usage, and cost in real-world AI systems.

May 19, 2026

by Binoj Melath Nalinakshan Nair

CORE

· 2,478 Views · 1 Like

Run Gemma 4 on Your Laptop: A Hands-On Guide to Google's Latest Open Multimodal LLM

Gemma 4 — architecture deep-dive, thinking mode, function calling, audio + image input, and a small project — no cloud, no API keys.

May 19, 2026

by Jubin Abhishek Soni

CORE

· 3,783 Views · 2 Likes

The Prompt Isn't Hiding Inside the Image

CLIP Interrogator is one of the most misunderstood tools in the Stable Diffusion ecosystem. It solves a real problem, which is why it won't go away.

May 19, 2026

by mike labs

· 1,155 Views

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

· 1,399 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

· 2,965 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

· 3,195 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 Abhishek Soni

CORE

· 3,062 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

· 1,665 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

· 1,626 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

· 1,356 Views

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