AI/ML Resources

We Empowered AI Agents With 'Hands,' Now We Require Kernel-Level Vision to Monitor Them

MCP tool use creates massive application-layer blind spots. Close the gap by monitoring agent behavior directly in the kernel space.

August 11, 2026

by Ammar Ekbote

· 2,287 Views · 2 Likes

How We Built an LLM Pipeline That Survives Traffic Spikes

A traffic spike took down our LLM summarizer. Here is the severity-routing + token-governor design that keeps it alive. Plan in tokens, not requests.

August 10, 2026

by Dileep Mundakkapatta

· 2,038 Views · 1 Like

Building an AI-Powered Incident Triage Agent with .NET Aspire

A practical, code-driven tutorial on building an AI-powered incident triage agent using .NET 10 and .NET Aspire 9, and other modern tools.

August 10, 2026

by Muhammad Asif Nawaz

· 2,860 Views · 2 Likes

Agentic AI in 2026: How Autonomous AI Agents Are Replacing Manual Dev Work

Autonomous AI agents are moving from demos to production in 2026. See how agentic AI, MCP, and multi-agent systems are changing dev workflows.

August 10, 2026

by Ghulam Ghous

· 1,939 Views · 2 Likes

GraphQL Isn’t Dead Yet, AI Agents Revived It

GraphQL was good at a time, then it simmered off. Is GraphQL about to make a comeback because of AI? Will GraphQL be able to serve better for AI Agents?

August 10, 2026

by Akash Lomas

· 1,547 Views · 3 Likes

A Practical Pipeline for Identifying Sensitive Columns Before Test Data Masking

In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.

August 10, 2026

by Siyuan Feng

· 1,789 Views · 1 Like

Orchestration Meets MCP: Building Governed Agentic Workflows With Quarkus Flow and AGENTS.md

By combining Quarkus Flow, LangChain4j, MCP tools, and AGENTS.md, developers can construct deterministic, tool-augmented, and enterprise-governed AI agent loops.

August 7, 2026

by Daniel Oh

CORE

· 3,186 Views · 1 Like

How RAG Cuts Hallucinations in Generative AI Chatbots

RAG cuts chatbot hallucinations by grounding answers in retrieved source data, not model memory. Retrieval quality and evaluation matter more than model size.

August 6, 2026

by Paul Schloss

· 2,168 Views

VL-JEPA: End of LLMs? Or the End of How We Think About Them?

Learn how Meta's VL-JEPA challenges the assumptions behind LLMs by shifting AI from next-word prediction to semantic understanding and world modeling.

August 6, 2026

by Ram Ghadiyaram

CORE

· 2,293 Views · 2 Likes

Building an AI Visibility Checker With Cloudflare Workers (Without a Backend)

I built six AI visibility tools without a traditional backend, using one Cloudflare Worker to solve CORS while all scoring logic runs client-side in the browser.

August 6, 2026

by Nena Jasar

· 3,440 Views · 3 Likes

Build Your First Knowledge Graph From Unstructured Documents Using Python

Learn how to convert a small set of unstructured engineering documents into a searchable knowledge graph using Python, spaCy, and NetworkX.

August 6, 2026

by Sriharsha Makineni

· 2,425 Views · 2 Likes

AI-Assisted Development Without Chaos

Learn how to govern AI-assisted software development with risk-based reviews, automated validation, security controls, and end-to-end traceability.

August 6, 2026

by Miguel Garcia

CORE

· 3,745 Views · 3 Likes

Orchestrating Trusted Environments: Securing Untrusted Code Execution With Docker and GKE Agent Sandbox

A technical blueprint for building multi-tenant AI platforms by securely executing untrusted code with Docker and GKE Agent Sandbox.

August 6, 2026

by Anuj Ashok Potdar

· 2,632 Views · 2 Likes

Practical QA Workflow Showing How Teams Integrate LLM Testing into Real CI/CD Pipelines

Learn how QA teams integrate semantic evaluation, mocked unit tests, toxicity checks, and regression tracking into CI/CD pipelines.

August 5, 2026

by Minkle Kalra

· 2,051 Views · 2 Likes

TensorFlow vs PyTorch: The Real Difference Isn’t Accuracy

A direct CNN benchmark on CIFAR-10 shows TensorFlow and PyTorch achieve identical accuracy (~68%). Choose TensorFlow for production and PyTorch for flexibility.

August 5, 2026

by Rakshath Naik

· 1,836 Views · 1 Like

Why LLM Pipelines Fail in Production and How Temporal and Kafka Fix Them

LLM pipelines fail from retries, failures, and long-running workflows; Kafka provides reliable event streaming, while Temporal ensures durable, fault-tolerant execution.

August 5, 2026

by Akhil Madineni

CORE

· 3,069 Views · 3 Likes

Securing AI Agents at the API Layer: 5 Controls That Actually Matter

AI agents don't break your API rules; they expose the ones you never enforced. This article covers five gateway-level controls that bring autonomous agents under control.

August 5, 2026

by Priyanka Jayavel

· 5,468 Views · 2 Likes