Data Engineering Resources

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

· 2,766 Views · 1 Like

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

· 3,251 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

· 2,147 Views · 3 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

· 3,191 Views · 2 Likes

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

· 4,485 Views · 2 Likes

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

· 2,741 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

· 3,322 Views · 2 Likes

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

· 4,278 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

· 2,386 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

· 2,134 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

· 2,367 Views · 1 Like

Migrate a Hardcoded LangGraph Agent to LaunchDarkly AI Configs in 20 Minutes

Moving a hardcoded LangGraph React agent into LaunchDarkly AI Configs so prompts, models, tools, tracking, and rollout testing can be changed without redeploying.

June 2, 2026

by Scarlett Attensil

· 1,998 Views

Stop Debugging Glue Jobs Manually: Building an Agentic Observability Layer for Data Pipelines

Glue failures scatter evidence across logs, metadata, and table state. A triage layer pulls it together and flags whether a rerun is safe.

June 2, 2026

by Vivek Venkatesan

· 2,539 Views · 1 Like

Building a Spring AI Assistant With MCP Servers: A Step-by-Step Tutorial

Part 1 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and sets the foundation for going to production.

June 2, 2026

by Horatiu Dan

CORE

· 2,254 Views · 3 Likes

When One MVP Is Really Four Systems: A Better Way to Plan Multi-Role Apps

Many MVPs get too big because teams treat several user-facing systems and vendor-dependent workflows as one app instead of planning one complete path first.

June 2, 2026

by Kajol Shah

· 2,009 Views

5 AI Security Incidents That Broke Things in Production (and What They Have in Common)

Five real incidents from late 2025 and early 2026 show what happens when automated systems outpace the controls around them.

June 2, 2026

by Lavanya Chandrasekharan

· 2,386 Views · 1 Like

The Agentic Agile Office: Streamlining Enterprise Agile With Autonomous AI Agents

Agentic Agile Office uses autonomous AI agents to cut admin overhead, detect risks early, and shift teams from manual tracking to intelligent, high-velocity delivery.

June 1, 2026

by Madhusudhan Chivukula

· 1,969 Views · 1 Like

GenAI Implementation Isn't Magic — It’s a Lifecycle

GenAI apps follow a structured lifecycle — requirements, data, models, prompts, architecture, testing, deployment, and monitoring — to build scalable systems.

June 1, 2026

by Ajay Singh

· 1,588 Views · 1 Like

Optimizing Databricks Spark Pipelines Using Declarative Patterns

This article explains why hand-tuning Spark is becoming the slow path — and what the declarative alternatives actually look like in production.

June 1, 2026

by Seshendranath Balla Venkata

· 1,515 Views · 1 Like

Data Contracts as the "Circuit Breaker" for Model Reliability

AI models do not fail due to bad coding; they fail due to an upstream change in the input. Combine contracts with circuit breakers to stop bad data from entering models.

June 1, 2026

by SRIRAMPRABHU RAJENDRAN

· 1,875 Views

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