Data Engineering Resources

Good Data, Bad Metric: A Mutation Testing Pattern for Analytics Engineering

A mutation testing pattern for analytics metrics that checks if validation catches realistic business logic errors early.

June 4, 2026

by Prateek Arora

· 1,954 Views · 1 Like

Persistent Memory for AI Agents Using LangChain's Deep Agents

Most AI agents forget you when the session ends. deepagents fixes that — persistent per-user memory across sessions, no vector database.

June 4, 2026

by Ninaad Rao

· 2,459 Views · 1 Like

A System Cannot Protect What It Does Not Understand

Inside the system, there is always a boundary between incoming data and stored state, and that boundary is not passive. It acts like a gatekeeper.

June 4, 2026

by Jan Nilsson

· 1,732 Views

Building a High-Throughput Distributed Sequence Generator Using the Hi-Lo Algorithm

Design scalable sequential ID generation in distributed systems using the Hi-Lo pattern with Cosmos DB to reduce contention, improve latency, and maintain ordering.

June 4, 2026

by Vikas Mittal

· 1,825 Views

The Hidden Cost of AI Tokens: Engineering Patterns for 10x Resource Efficiency

How we cut our AI API bill from $127K to $13.8K monthly — not by switching providers, but by treating tokens as a first-class architectural concern.

June 4, 2026

by Dinesh Elumalai

CORE

· 1,908 Views · 1 Like

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

This article details a resilient pseudo-labeling architecture. It combines Redis ingestion, Matryoshka embeddings, XGBoost to neutralize self-training confirmation bias.

June 4, 2026

by Harshith Narasimhan Srivatsa

· 1,866 Views

Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance

Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.

June 4, 2026

by Stelios Manioudakis

CORE

· 2,840 Views · 2 Likes

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.

June 4, 2026

by khadarvali shaik

· 1,703 Views

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

Build a Slack bot using AWS Bedrock and MCP to answer GitHub questions. Learn setup, architecture, and how to extend it with new tools and data sources.

June 4, 2026

by Sangharsh Agarwal

· 1,733 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 1,883 Views

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 2,410 Views

How to Save Money Using Custom LLMs for Specific Tasks

MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.

June 3, 2026

by Max Tcvetkov

· 1,845 Views · 2 Likes

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1

Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.

June 3, 2026

by Sangharsh Agarwal

· 2,030 Views · 1 Like

Building AI-Powered Java Applications With Jakarta EE and LangChain4j

Integrate AI into Java apps with Jakarta EE, CDI, MicroProfile Config, and LangChain4j. Build AI services from simple prompts to type-safe domain-driven interactions.

June 3, 2026

by Otavio Santana

CORE

· 2,366 Views

Securing the AI Host: Spring AI MCP Server Communication With API Keys

Part 2 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and secures the communication.

June 3, 2026

by Horatiu Dan

CORE

· 2,208 Views · 2 Likes

Using LLMs to Automate Data Cleaning and Transformation Pipelines

Data cleaning is brittle and time-consuming; LLMs introduce a semantic layer that makes workflows more resilient and easier to maintain.

June 3, 2026

by David Taiwo Balogun

· 1,724 Views

7 Technology Waves I’ve Seen in 30 Years of Software — Will AI Be the Next Real Transformation?

Every major software wave added new business capabilities. AI’s real impact will come when it powers adaptive, intelligent business systems — not just faster development.

June 2, 2026

by Tribhuwan Bisht

· 3,593 Views · 5 Likes

The Missing `bandit` for AI Agents: How I Built a Static Analyzer for Prompt Injection

Static analysis for LLM agents that flags prompt-injection risks—like confused deputy flows and dynamic prompts—before runtime, improving security and auditability.

June 2, 2026

by Sanjay Krishnegowda

· 1,915 Views · 2 Likes

Why Stable RAG Answers Can Still Hide Unstable Evidence

RAG answers can stay stable while evidence shifts. Learn why evidence stability matters for reproducibility, auditability, and debugging — and how to check it.

June 2, 2026

by Punitha Ponnuraj

· 1,557 Views

When Snowflake Lies to You: Understanding False Failures in dbt Pipelines

Your pipeline failed. Your code is fine. This article will walk you through why both things can be true at the same time.

June 2, 2026

by Janani Annur Thiruvengadam

CORE

· 1,592 Views

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