Data Engineering Resources

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

· 1,450 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

· 1,149 Views

Solving Data Traffic Jams in Your Network

Not even data likes a lengthy commute. In this article, let’s explore how to solve congestion chaos with tighter infrastructure.

June 22, 2026

by Sascha Neumeier

· 1,060 Views · 2 Likes

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

· 813 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

· 1,118 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

· 2,681 Views · 7 Likes

Automating Power Automate: How to Ensure Cloud Flows Are Active After Every Pipeline Deployment

Automate Power Platform deployments by resolving connection references and activating cloud flows after import, so every environment is ready when the pipeline finishes.

June 19, 2026

by karthik nallani chakravartula

· 2,692 Views · 1 Like

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

· 2,499 Views · 1 Like

From Open SQL to CDS Views: Rewriting SAP Data Access for Performance at Scale

Swap Open SQL for CDS views to push logic into HANA and centralize reusable data models, but verify the execution plan, not just the pattern

June 19, 2026

by Deepika Paturu

· 1,504 Views

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

· 1,304 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

· 2,486 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

· 2,530 Views · 1 Like

From printTriangularNumber to Duff’s Device: Mastering Java Switch Statements Old and New

This post traces that journey using triangular number computation as a practical example of intentional fall-through and connects the technique to Duff's Device.

June 19, 2026

by NaveenKumar Namachivayam

CORE

· 1,854 Views · 2 Likes

A Practical Guide to Temporal Workflow Design Patterns

Learn Temporal workflow design patterns for reliable distributed systems using durable execution, sagas, polling, fan-out/fan-in, signals, and versioning.

June 18, 2026

by Akhil Madineni

CORE

· 2,627 Views · 2 Likes

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

· 2,909 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

· 1,954 Views · 1 Like

Top Java Security Vulnerabilities and How to Prevent Them in Modern Java

Most Java security breaches stem from preventable coding mistakes. Follow secure coding practices, validate inputs, and keep dependencies updated to reduce risk.

June 18, 2026

by Muhammed Harris Kodavath

· 2,991 Views · 1 Like