Data Engineering Resources

Can Your Team Name the Work It Already Runs With AI?

The AI Workflow Inventory gives teams a shared list of recurring AI work, creating the foundation for A3 delegation decisions.

September 25, 2026

by Stefan Wolpers

CORE

· 1,083 Views · 2 Likes

Building a Practical Cloud-Native Golden Path: A Guide to Kubernetes-Based Service Delivery, Self-Service, and Developer-Friendly Defaults

Golden paths standardize software delivery with self-service workflows, deployment guardrails, and observability while preserving team autonomy.

September 25, 2026

by Naga Santhosh Reddy Vootukuri

CORE

· 1,270 Views

One Agent, Two Runtimes: Defining State Ownership Between Temporal and LangGraph

Temporal owns coordination, LangGraph owns agent state, and external systems own outcomes. Stable IDs and idempotency keep retries and recovery consistent.

September 25, 2026

by Akhil Madineni

CORE

· 895 Views · 2 Likes

Locking Down the Enterprise: Data Security Patterns for AI Integrations

Learn how to secure enterprise data in AI systems using data classification, access controls, encryption, vendor controls, prompt security, and output validation.

September 25, 2026

by Balaji Venkatasubramaniyar

CORE

· 1,306 Views

How Multi-Agent Systems can replace most of Manual ML Validation decisions - The Karpathy Loop Approach

This framework employs autonomous agents to run experiments against predefined metrics, determining success or failure without human input

September 24, 2026

by Amey Farde

· 1,627 Views

Building an AI Agent That Converts Production Failures Into Regression Tests

AI agents can transform production telemetry into deterministic regression tests that reproduce failures and verify fixes automatically.

September 24, 2026

by Uthej Mopathi

CORE

· 1,431 Views · 2 Likes

Track Brand Visibility Across AI Answer Engines with Python

A self-hosted way to track a brand's mention, citation, and share of voice across AI answer engines — sampled on a schedule so you follow the trend, not a single answer.

September 24, 2026

by Nadia Mohamed

· 1,280 Views

When Your Chatbot Can Talk Its Way Into the Scoring Engine

If you are building a system that both evaluates people and talks to them, assume the two functions will entangle unless you deliberately separate them.

September 24, 2026

by Somnath Banerjee

· 1,247 Views

Cloud Complexity Is an Operating Model Problem: Why Infrastructure Maturity Alone Can’t Solve Scale, Reliability, and Team Friction

Cloud-native platforms need more than mature infrastructure. Learn how shared standards, platform engineering, and self-service can reduce delivery friction at scale.

September 24, 2026

by Igboanugo David Ugochukwu

CORE

· 1,306 Views · 1 Like

Integrating LLMs into iOS Applications With Swift Using ONNX Runtime

This article explores how to integrate an ONNX transformer model into an iOS application using Swift. It covers loading and running models with ONNX Runtime.

September 24, 2026

by Kagan Girgin

· 1,146 Views

An Enterprise AI Governance Checklist for Software Teams

A seven-point governance checklist for engineering teams, with automated CI/CD pipeline gates for model registration, bias testing, and drift detection.

September 24, 2026

by Mohanaraman Namasivayam

· 1,296 Views

RAG Is Not Enough: The Rise of Enterprise Knowledge Graphs for AI Systems

Enterprise AI needs knowledge graphs alongside RAG to enable relationship-aware, explainable, secure, and contextually accurate retrieval and reasoning.

September 24, 2026

by Uthej Mopathi

CORE

· 1,893 Views · 2 Likes

Anthropic Builds Biology Lab to Test What Claude Can Do in the Real World

Anthropic has opened a biology lab to test Claude with real experiments and lab equipment, expanding its AI life sciences work beyond computer simulations.

September 24, 2026

by Aminu Abdullahi

· 1,495 Views

SpaceXAI Launches Grok 4.7: Low Prices, Heavy Token Use

SpaceXAI’s Grok 4.7 improves coding benchmarks and keeps API prices low, but heavy token consumption could raise the cost of completing real-world tasks.

September 24, 2026

by Aminu Abdullahi

· 2,830 Views

6 Techniques To Reduce LLM API Costs With the Python Library

Six techniques to cut LLM API costs by up to 90%: prompt caching, model routing, batch processing, and more. (Includes a pip-installable Python library.)

September 23, 2026

by Somnath Banerjee

· 2,167 Views · 1 Like

Beyond Linting: Why We Switched To Semantic Contracts for A11y and Localization

We arrived at the concept of "Semantic Contracts" not as a top-down decree, but as a survival mechanism. Here's how we implemented the switch.

September 23, 2026

by Ridhdhi Desai

· 1,377 Views

How to Build an AI Agent to Generate Selenium WebDriver Tests in Java: A Practical Guide for Test Automation Engineers

A step-by-step guide using OpenAI and Ollama to build an AI agent that generates Selenium Java tests from plain-English scenarios.

September 23, 2026

by Faisal Khatri

CORE

· 1,757 Views

How to Build an Asynchronous AI-Content Review Workflow in C#

Learn how to accept image submissions properly and evaluate them for AI content in the background, keeping unapproved content out of normal publication workflows.

September 23, 2026

by Brian O'Neill

CORE

· 1,543 Views

How to Prevent Retry Storms With Retry Budgets in Distributed Systems

Retry budgets coordinate retries across service boundaries, preventing transient failures from escalating into system-wide traffic amplification.

September 23, 2026

by Uthej Mopathi

CORE

· 1,699 Views · 2 Likes

What Full-Stack AI Engineering Means in Real Projects

Full-stack AI development is building an AI feature end to end. In 2026 the hard part is agentic reliability, evals, and production, not the model call.

September 23, 2026

by Paul Schloss

· 1,712 Views

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