AI/ML Resources

Pipelines on Fire: Why Your CI/CD Tools Are the New Cyber Battlefield

Learn why CI/CD pipelines are becoming major security targets and how to protect runners, secrets, AI tools, and software supply chains.

September 9, 2026

by Igboanugo David Ugochukwu

CORE

· 3,045 Views · 2 Likes

Kubernetes Says Ready. Your LLM Still Isn’t.

Kubernetes can say Ready before an LLM can infer. Measure the gap, then make the readiness check a real inference in production.

September 9, 2026

by Shamsher Khan

CORE

· 3,251 Views · 2 Likes

RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems, No Migration Required

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years.

September 9, 2026

by Technology Wire

· 2,964 Views · 2 Likes

Apple-OpenAI Fight Escalates With New MacBook Evidence

Apple says evidence from a former engineer’s MacBook strengthens its trade secret case against OpenAI as the companies clash over AI hardware and hiring.

September 8, 2026

by Aminu Abdullahi

· 3,063 Views · 2 Likes

Optimize an AI Agent to Sound Human, Judged by an AI Detector

Use LaunchDarkly agent optimization to make an AI agent's replies sound human against GPTZero, an AI detector, as an inverted judge.

September 8, 2026

by Scarlett Attensil

· 2,790 Views · 2 Likes

Why AI Hallucinations Are a Quality Engineering Problem

Most enterprise QA teams aren't equipped to detect AI hallucinations. Here's the testing framework they need with code examples and real-world scenarios.

September 8, 2026

by Rajeshkumar Rajaseakaran Nair

· 2,707 Views · 3 Likes

What Actually Makes AI Infrastructure Agents More Reliable (It's Not More Agents)

Single AI agents fail during incidents. Four specialized agents — supervisor, telemetry, reasoning, action — handle observability more reliably.

September 8, 2026

by Kinjal Vaishnav

· 2,337 Views · 2 Likes

Architecting Trust: Agentic Microservice Testing Strategies in the Era of Non-Deterministic AI

Learn how to test, monitor, and deploy reliable agentic AI and multi-agent systems in enterprise environments using modern testing and CI/CD strategies.

September 8, 2026

by Viquar Khan

CORE

· 2,890 Views · 1 Like

Select AI and Vector Search on a Legacy Oracle Schema: What It Actually Takes

DBAs and developers managing Oracle schemas want to understand what integrating Select AI and vector search entails before applying it to critical systems.

September 7, 2026

by arvind toorpu

CORE

· 1,963 Views · 2 Likes

Teaching an LLM Your Schema's Rules: Inside Jailer's AI Subsetting Assistant

How a database subsetting tool turned a plain-English request into a reviewable, undoable extraction model — instead of just another SQL-generation chatbot.

September 7, 2026

by Ralf Wisser

· 1,847 Views · 2 Likes

Building an AI Incident Response Runbook: What Engineering Teams Should Do in the First 24 Hours

AI incidents don't follow the security playbook: no CVE, no patch, and evidence that vanishes in minutes unless you've planned ahead.

September 7, 2026

by Yuliia Harkusha

· 7,021 Views · 3 Likes

How to Design a Multi-Agent AI Framework in Python for Enterprise LLM Workflows

Learn how to build a production-ready multi-agent AI framework in Python that improves reliability, reduces hallucinations, and scales enterprise LLM workflows.

September 7, 2026

by Chidiebere Njoku

· 2,489 Views · 3 Likes

This $5,000 Berkeley Humanoid Can Be Built With a Desktop 3D Printer

UC Berkeley's open-source Humanoid Lite costs under $5,000 and uses 3D-printed parts, opening humanoid robotics to more researchers and students.

September 4, 2026

by Aminu Abdullahi

· 3,424 Views · 1 Like

Prompting AI for Analytics: The Missing Optimization Layer Between Your Question and the Model

A practical blueprint for cutting AI token costs in analytics — clean up the question before it reaches the model, then learn from what worked.

September 4, 2026

by Dinesh Pamcheti

· 2,641 Views · 1 Like

Multilingual Conversational Payments Chatbot Architecture: Enterprise RAG With Safety Guardrails, Human Handoff, and Multi-Modal Support

A retrieval-augmented generation (RAG) pipeline that grounds LLM responses directly in your website/document content to prevent hallucinations.

September 4, 2026

by Sriram Ramakrishnan

· 2,807 Views · 2 Likes

Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG

Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.

September 4, 2026

by Uthej Mopathi

CORE

· 2,955 Views · 3 Likes

Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines

Build an agentic RAG system that plans retrieval, grades results, reformulates queries, and self-checks answers to improve grounding.

September 4, 2026

by Balaji Venkatasubramaniyar

CORE

· 3,172 Views · 2 Likes

MCP for Enterprise Tasks: Making the Rare Frequent Enough to Master

Agentic clients via MCP are a new human interface to old software. They are an appealing choice: they use native language. But it is not always the wise approach.

September 4, 2026

by Peter Verhas

CORE

· 2,570 Views · 2 Likes

Why I Don't Want an LLM Generating Java Business Logic

Why do you need a DSL when an LLM generates business logic more than ever? To limit what generated code can do with allow-lists, not deny-lists.

September 4, 2026

by Peter Verhas

CORE

· 3,358 Views · 2 Likes

Video and Audio as Knowledge Sources: Content Understanding in Microsoft Foundry IQ

Turn video and audio recordings into searchable, citable knowledge for Microsoft Foundry IQ using Azure Content Understanding, MarkItDown, and structured metadata.

September 4, 2026

by Jubin Soni, FBCS

CORE

· 5,021 Views · 4 Likes

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