Data Engineering Resources

Building a Secure MCP Server for File Processing: Auth, Rate Limiting, and Idempotency

Building an MCP server that processes files introduces problems a typical read-only API doesn't have. Here's what mattered.

September 22, 2026

by Peter Ndumia

· 1,836 Views · 1 Like

Beyond Token Intelligence: Why AI Code Review Needs Cognitive Architectures

AI is generating code faster than humans can review it. The fix is cognitive architectures that understand not just "what changed" but "why" and whether it's safe.

September 22, 2026

by Sayan Chatterjee

· 1,994 Views · 2 Likes

Architecting for <1s Latency: Managing Eventual Consistency in Distributed Search Platforms

To maintain sub-second search freshness, logistics systems must actively manage eventual consistency across Kafka ordering, search indexing, and cache invalidation.

September 22, 2026

by Dhruv Goel

· 1,850 Views · 1 Like

The Math Behind AI Testing: Why 1,000 Test Cases May Tell You Less Than 100

More AI test cases don't automatically increase confidence. Smart, risk-based statistical sampling provides more reliable AI validation than expanding a test suite.

September 22, 2026

by Rajeshkumar Rajaseakaran Nair

· 1,562 Views · 1 Like

Using Graph RAG and Specialized Agents to Repair Playwright Tests

Graph RAG and specialized agents diagnose, repair, and validate failing Playwright tests using repository-wide context with modern CI/CD pipelines.

September 22, 2026

by Srinivas Rao Jonnakuti

· 1,700 Views · 1 Like

Valkey: Bringing Key-Value Databases to Enterprise Java

Valkey provides high-performance key-value storage for Enterprise Java, with portable APIs and flexible persistence through Eclipse JNoSQL.

September 22, 2026

by Otavio Santana

CORE

· 1,843 Views · 1 Like

How to Build a Production-Ready iOS App With AI-Generated Code

AI-generated iOS apps need rigorous engineering across security, architecture, testing, observability, and reliability before production deployment.

September 21, 2026

by Uthej Mopathi

CORE

· 2,288 Views · 1 Like

When an iOS Retry Executes an Agent Twice: Building Effectively-Once Tool Workflows With LangGraph, MCP Tasks, Kafka, and App Attest

Stable operation IDs prevent iOS retries from duplicating agent tools across LangGraph, MCP Tasks, Kafka, and App Attest.

September 21, 2026

by Uthej Mopathi

CORE

· 1,887 Views · 2 Likes

Your Application Has an Unindexed Attack Surface. Do You Know What’s in It?

Learn how forgotten internet-facing assets expand your attack surface and how continuous asset discovery, inventory, and ownership can reduce security risks.

September 21, 2026

by Igboanugo David Ugochukwu

CORE

· 1,458 Views · 1 Like

Building an AI System That Makes Your Entire Company Queryable: A Startup's Guide

Learn how to give every employee instant, accurate answers from your company's collective knowledge, without a six-figure infra bill or a security nightmare.

September 21, 2026

by Balaji Venkatasubramaniyar

CORE

· 1,450 Views

MCP Is the USB-C of AI — Here's What That Actually Means for Your Architecture

A senior engineer's guide to production MCP: JSON-RPC 2.0 transport, OAuth 2.1 auth, stateless horizontal scaling, and where the protocol genuinely breaks.

September 21, 2026

by Dinesh Elumalai

CORE

· 1,740 Views · 1 Like

When Mobile Connections Break: Recovering Long-Running iOS Workflows With LangGraph and Event-Driven Backends

LangGraph checkpoints and event-driven backends let iOS apps resume long-running workflows after network drops without duplicate work.

September 21, 2026

by Uthej Mopathi

CORE

· 1,658 Views · 1 Like

Edge AI: Why Inference Is Moving Away From the Cloud

Edge inference thrives on-device for real-time, private AI. Advances in hardware and compression cut latency and costs, pushing AI away from the cloud.

September 21, 2026

by Uthej Mopathi

CORE

· 1,963 Views · 1 Like

MCP vs REST/HTTP API vs Kafka: The Architect's Guide to Agentic AI Integration

MCP, Kafka, and REST APIs are not the same: this comparison maps each to the right layer of your agentic AI architecture.

September 18, 2026

by Kai Wähner

CORE

· 3,663 Views

Designing Human-in-the-Loop Approval Gates for Enterprise AI Agents

Enterprise AI agents should automate low-risk tasks, require approval for sensitive actions, and maintain strict access, logs, and review.

September 18, 2026

by Praveen VR

· 3,278 Views · 2 Likes

Exploring the DBMS_DEVELOPER Package: JSON Metadata for Oracle Objects

Learn how Oracle Database 23ai’s DBMS_DEVELOPER package uses JSON metadata and ETags to simplify database schema documentation, migration, and change tracking.

September 18, 2026

by arvind toorpu

CORE

· 2,171 Views

RAG, Vector Databases, and MCP: Wiring Them Together for Production

This article offers a practical walkthrough for engineers moving past the "RAG demo" stage into systems that hold up in production.

September 18, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,897 Views

Common Pitfalls in RAG Applications: What to Avoid When Using Vector Search and Embeddings

RAG is easy to launch and hard to keep reliable. Here are the most common failure modes, their causes, and the Databricks-specific fixes.

September 17, 2026

by Seshendranath Balla Venkata

· 2,566 Views

Federated MCP Control Plane: Policy-Aware Access to Multi-Backend Tool Servers

A federated gateway replaces scattered local MCP credentials with brokered, short-lived, least-privilege tokens plus the guardrails needed to run it safely.

September 17, 2026

by Harish Gaggar

· 2,811 Views · 2 Likes

The New API Contract Is Probabilistic: Building Reliable Systems Around Unreliable Model Outputs

AI model outputs are unpredictable, so developers must use validation, testing, monitoring, and safe fallbacks to build reliable systems around them.

September 17, 2026

by Micheal Chukwube

· 2,282 Views

The Latest Data Engineering Topics