Data Engineering Resources

Ralph Wiggum Ships Code While You Sleep. Agile Asks: Should It?

AI makes code cheap, not thinking. When cost disappears, Agile principles supply discipline so teams don’t build the wrong thing faster at scale with AI.

January 30, 2026

by Stefan Wolpers

CORE

· 2,094 Views · 1 Like

Essential Techniques for Production Vector Search Systems, Part 3: Filterable HNSW

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

January 30, 2026

by Pavan Vemuri

CORE

· 1,661 Views · 2 Likes

TPU vs GPU: Real-World Performance Testing for LLM Training on Google Cloud

H100 GPUs are best for flexibility, fast iteration, and custom CUDA work. TPU v5p wins on GCP for large-scale LLM training with better cost efficiency and scaling.

January 30, 2026

by Jubin Soni, FBCS

CORE

· 3,823 Views

Automating TDD: Using AI to Generate Edge-Case Unit Tests

This article demonstrates a "Threat-Model-First" workflow where we use AI not just to write code, but to aggressively attack our logic before we implement it.

January 30, 2026

by Nikita Kothari

· 2,121 Views

Mentorship in Modern Engineering Teams: The ROI Question in the Age of AI

This article combines practical mentoring experience with an analysis of how AI alters the junior career path, focusing on what teams should realistically expect today.

January 30, 2026

by Daniel Gonik

· 1,240 Views

Preventing Cache Stampedes at Scale

High-concurrency systems — especially retail, travel, ticketing, or any “hot product” scenarios — often face cache stampedes (aka "thundering herd", "dogpiling"). Here's a practical pattern for managing concurrent data requests.

January 29, 2026

by Vikas Mittal

· 1,597 Views

Reliable AI Agent Architecture for Mobile: Timeouts, Retries, and Idempotent Tool Calls

Ship reliable mobile agents: timeout everything, retry by error class, persist steps across restarts, and require idempotency keys for write tools.

January 29, 2026

by Mohan Sankaran

· 1,927 Views · 6 Likes

5 Technical Strategies for Scaling SaaS Applications

In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.

January 29, 2026

by Mykhailo Kopyl

· 1,941 Views · 1 Like

AI Awareness for File-Based Work: The Risk of Silent Failure

A real Gemini Pro session shows how AI can look “done” while skipping uploaded data and ignoring STOP commands — creating silent failure risk without verification.

January 29, 2026

by Mallesh Miryala

· 1,124 Views

Automating AWS Glue Infra and Code Reviews With RAG and Amazon Bedrock

Automate AWS Glue reviews with infra-first RAG governance, enforcing enterprise standards, reducing manual work, and shifting checks left.

January 29, 2026

by pooja chhabra

· 1,918 Views

Cloud Systems Drift: What Happens When Exceptions Become the System

Cloud systems drift when exceptions accumulate, and decisions lose connection to original objectives. Clear requirements and early security design prevent sprawl.

January 29, 2026

by Kevin Maki

· 4,011 Views

2 Hidden Bottlenecks in Large-Scale Azure Migrations

Moving a massive on-premise system to the cloud isn't just about copying VMs. Here is how to overcome the two hidden performance killers.

January 28, 2026

by Dippu Kumar Singh

· 2,169 Views

AI-Powered DevSecOps: Automating Security with Machine Learning Tools

AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.

January 28, 2026

by Igboanugo David Ugochukwu

CORE

· 2,182 Views · 1 Like

Zero Trust for Agents: Implementing Context Lineage in the Enterprise Data Mesh

Agent identity and its audit history will enforce zero-trust access for agents based on both identity and past behavior. This makes agent access more secure and reliable.

January 28, 2026

by Anshul Pathak

· 2,028 Views · 1 Like