AI/ML Resources

Data Governance Checklist for AI-Driven Systems

A practical checklist for evaluating AI data readiness, covering data quality, governance, lineage, access controls, retrieval systems, and ongoing monitoring.

June 23, 2026

by Abhishek Gupta

CORE

· 1,785 Views · 2 Likes

Foxit MCP Server: Give AI Agents Direct Access to 30+ PDF Tools via Model Context Protocol

Foxit MCP Server gives any AI agent direct access to 30+ PDF tools for conversion, OCR, merge, and compare via the Model Context Protocol.

June 22, 2026

by Lucien Chemaly

· 1,907 Views

The Reliability Gap: Why Enterprise AI Keeps Failing After It Already Works

Enterprise AI often fails after launch due to behavioral drift, stale context, and trust erosion — not model quality or benchmark accuracy.

June 22, 2026

by Igboanugo David Ugochukwu

CORE

· 1,149 Views · 1 Like

When Valid SQL Was Still the Wrong Answer

A personal project exploring why AI-generated SQL isn't always trustworthy and how semantic context, validation, and governance improve analytics accuracy.

June 22, 2026

by Anusha Kovi

CORE

· 1,473 Views · 1 Like

Keeping AI-Powered BI Honest: A Human-in-the-Loop (HITL) Playbook

AI-generated SQL can look right while being wrong. Learn how human-in-the-loop workflows build trust through reviews, approvals, audits, and escalation paths.

June 22, 2026

by Nithish Shetty

· 1,164 Views

Offline Evaluation of RAG-Grounded Answers in LaunchDarkly AI Configs

Run an offline Playground eval with a cross-family LLM judge and use failing rows to separate retrieval issues from generation problems and judge noise.

June 22, 2026

by Scarlett Attensil

· 836 Views

Generative Engine Optimization: How to Make Your Content Visible to AI

Generative engine optimization (GEO) helps content get cited by AI tools like ChatGPT and Perplexity using structure, authority, and semantic clarity.

June 22, 2026

by Sibanjan Das

· 1,147 Views

GenAI Isn't Solving the Problem Most Development Teams Actually Have

We optimized for code-generation speed while the real bottleneck — cognitive overhead and knowing where to make changes — remained completely untouched.

June 19, 2026

by Gaurav Gaur

CORE

· 2,733 Views · 8 Likes

Testing Strategies for Web Development Code Generated by LLMs

LLMs can quickly generate web application code, but AI-written code may contain security vulnerabilities. This article reviews testing methods for LLM systems.

June 19, 2026

by Sandesh Basrur

· 2,547 Views · 1 Like

The Cross-Lingual RAG Problem Nobody Is Talking About

RAG works beautifully in English. For the other 6.5 billion people, it is quietly failing — and the AI community has barely noticed.

June 19, 2026

by Janani Annur Thiruvengadam

CORE

· 1,329 Views · 2 Likes

Jakarta NoSQL: Why JPA Is Not Enough for the AI Era

Jakarta NoSQL provides a familiar Java programming model while preserving the strengths of document, graph, key-value, and AI-driven vector databases.

June 19, 2026

by Otavio Santana

CORE

· 2,617 Views · 1 Like

Your AI Coding Agent Can't Steal What It Never Had: The Docker Sandbox Isolation Story

Docker Sandbox runs AI agents in microVMs. The API key never enters the sandbox — the host proxy authenticates on the agent's behalf.

June 19, 2026

by Shamsher Khan

CORE

· 2,636 Views · 1 Like

When Your Documentation Manages Itself: mdship and AI-Assisted Markdown

Learn how to generate documentation using an LLM with mdship, and how to ensure that the prompts, which are now the source documentation, do not get lost.

June 18, 2026

by Peter Verhas

CORE

· 2,932 Views · 3 Likes

AI Is Finding Bugs Faster Than Enterprises Can Patch — Here's What Data Security Teams Should Do

Three structural shifts enterprise data security teams should make in 2026, based on verifiable data and a decade of experience building protection products.

June 18, 2026

by Priyanka Neelakrishnan

· 1,980 Views · 1 Like

Context Rot: Why Your AI Agent Gets Worse the Longer It Works

Adding more tokens to an LLM's context window quietly degrades output quality, even well before the window is full. This is context rot.

June 18, 2026

by Vineet Bhatkoti

· 1,893 Views · 1 Like

Amazon CodeWhisperer to Q Developer to Kiro: The Rise of Agentic Coding

If you’re a backend engineer working with AWS and curious about how we went from autocomplete-style AI to agentic, this one breaks down the architecture shifts.

June 18, 2026

by Jubin Soni, FBCS

CORE

· 2,647 Views

Grok AI API Tutorial: Chat, Image, Video, Tool Calling, and Web Search

Learn how to use the xAI Grok API for chat, image and video generation, tool calling, web search, and integrating external APIs in Python.

June 17, 2026

by Hilman Ramadhan

· 2,168 Views · 4 Likes

Testing Is Not About Finding Bugs

Finding bugs is what testing produces; understanding quality is why it exists. QA's future belongs to those who understand products, customers, and risks, not just bugs.

June 17, 2026

by Abhinav Garg

· 2,037 Views · 2 Likes

Getting Started With GitHub Copilot CLI for Coding Tasks

This blog explores GitHub Copilot CLI, a terminal-based AI coding assistant that integrates with GitHub Copilot for users with a subscription.

June 16, 2026

by Gunter Rotsaert

CORE

· 1,990 Views

Your AI Is Not Failing, Your Context Is

RAG helps AI retrieve relevant data. GraphRAG connects entities and relationships. Context engineering turns both into accurate, safe, production-ready AI systems.

June 16, 2026

by Faisal Feroz

· 2,624 Views · 1 Like

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