Data Engineering Resources

The AI Delegation Lifecycle: Your Team Has AI Outputs. Where Are the Decisions?

The AI Delegation Lifecycle helps teams govern AI work through six stages: decide, route, hand over, define done, inspect, and roll up.

August 27, 2026

by Stefan Wolpers

CORE

· 2,942 Views · 1 Like

How to Connect a Foundry IQ Knowledge Base to LangGraph Over MCP

This guide walks through the setup, MCP response, Entra token refresh, and how to avoid conflicts between LangGraph’s planner and Foundry IQ’s agentic retrieval planner.

August 26, 2026

by Jubin Soni, FBCS

CORE

· 4,042 Views · 1 Like

Building a Software Factory With AI Agents and Workflows

In this article, we’ll explore how to build a complete software factory from scratch, leveraging AI agents to transform the entire software development lifecycle.

August 26, 2026

by Pavan Belagatti

CORE

· 3,243 Views · 1 Like

The Folly of Tokenmaxxing or Reinventing the Wheel

AI transformation is often reduced to token usage, tool rollouts, and pilots. Learn five Agile laws that explain why AI adoption fails and what to measure instead.

August 26, 2026

by Stefan Wolpers

CORE

· 2,512 Views · 1 Like

Understanding RabbitMQ Exchange Types in Spring Boot

This blog delves into various RabbitMQ exchange types used within a Spring Boot application, highlighting examples and configurations.

August 26, 2026

by Gunter Rotsaert

CORE

· 2,809 Views · 2 Likes

Designing Rayfall: One Expression Language for a Columnar Database

How scalar evaluation, vector operations, lambdas, and relational queries can share one language without hiding expressions from the optimizer.

August 25, 2026

by Anton Kundenko

· 3,184 Views · 3 Likes

Tail-Based Sampling in the OpenTelemetry Collector: Keeping the Traces That Matter

Tail-based sampling keeps error and slow traces instead of a random slice, but it only works if all trace spans reach the same collector. Here's the fix.

August 25, 2026

by Mateen Ali Anjum

· 2,246 Views · 1 Like

The Code-Volume Delusion: Rethinking Engineering Velocity in the AI Era

AI is shifting the engineering bottleneck downstream, requiring leaders to prioritize PR cycle times, CI/CD stability, and architectural health.

August 25, 2026

by Rupesh Dabbir

· 3,220 Views · 1 Like

LLM Judgment for Document Pipelines: Bounded Pools and Typed Verdicts

Use LLMs to judge a bounded pool of documents, returning typed relevance that make pipeline decisions easier to inspect, monitor, and improve.

August 25, 2026

by Deepak Gupta

· 2,034 Views · 1 Like

Multi-Account AWS Architecture: Isolating PHI Workloads Without Slowing Down Engineering Teams

Multi-account AWS architecture enforces PHI workload isolation at the boundary level — making access control provable rather than arguable during security reviews.

August 24, 2026

by Garik H

· 2,233 Views

Text Analysis Without a Backend: Replacing an LLM Call With Intl.Segmenter and 60 Lines of JavaScript

Build deterministic browser-based text tools instead of LLM APIs to reduce cost, latency, privacy risks, and nondeterministic results.

August 24, 2026

by Kevin Brown

· 2,684 Views

Ground Truth for AI-Written Code: Why Context Matters More Than Prompts

AI coding assistants become significantly more powerful when they understand Git history, project architecture, and shared engineering context.

August 24, 2026

by Troian Serhii

· 2,149 Views · 2 Likes

The Real Skill Stack Behind Production-Ready AI Engineers

Reliable agentic AI systems come from evaluation harnesses, precise tool design, failure checkpoints, and knowing when not to use an agent.

August 24, 2026

by Joshua Shelton

· 1,909 Views · 2 Likes

Cutting AI Token Costs With MgntUtils Stack Trace Filtering

Learn how AI can reduce log volume and token costs by compressing stack traces while preserving the details needed for effective debugging and analysis.

August 24, 2026

by Michael Gantman

· 1,691 Views · 1 Like

From Chat Completions to Responses: Why Is OpenAI Upgrading Its Core API?

The Responses API simplifies complex agent workflows by unifying context, tool calls, and outputs, while Chat Completions remains suitable for simpler chat use cases.

August 24, 2026

by Jake Tao

· 1,156 Views · 1 Like

How to Secure Fintech REST APIs Against BOLA Vulnerabilities

Learn how to protect fintech REST APIs from BOLA attacks with object-level authorization, secure identifiers, access controls, and API security testing.

August 24, 2026

by Nanne Parmar

· 1,500 Views · 2 Likes

Building Meeting Audio RAG on Microsoft Foundry With Fast Transcription and Foundry IQ

Build a production-ready meeting audio RAG pipeline with Microsoft Foundry, and connect to a Foundry agent that answers questions with meeting and time citations.

August 21, 2026

by Jubin Soni, FBCS

CORE

· 1,897 Views · 1 Like

From Bottlenecks to Reliability: A Practical Guide to Scaling Temporal in Production

Scale Temporal by right-sizing workers, isolating workloads with task queues, controlling concurrency, and designing regional failover before traffic spikes or outages.

August 21, 2026

by Akhil Madineni

CORE

· 1,793 Views · 2 Likes

Stop Paying Your AI Agent to Do the Same Job Twice

Modern AI agent pipelines benefit significantly from a strategically positioned knowledge-base cache layer that sits upstream of the orchestration flow.

August 21, 2026

by Shivi Kashyap

· 2,917 Views · 2 Likes

Agents and Tools in Agentic AI: A Simple Explanation

This article provides a simple introduction to agents and tools in agentic AI. It explains why we need tools and the role of the agent and the model in this process.

August 21, 2026

by Ruchi Saini

· 1,867 Views · 3 Likes

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