Data Engineering Resources

You Learned AI. So Why Are You Still Not Getting Hired?

Most AI job seekers learn tools. Employers hire people who can specify tasks, evaluate outputs, manage risk, and deliver real business value with AI.

May 13, 2026

by Faisal Feroz

· 5,581 Views · 4 Likes

Stop Using the ATM-Didn’t-Kill-Jobs Story to Reassure Developers About AI

The ATM didn’t kill bank tellers’ jobs — the iPhone did. Getting the history right isn’t reassuring; it clarifies why developers should pay attention.

May 13, 2026

by Thomas Johnson

CORE

· 3,751 Views · 1 Like

Spec-Driven Integration: Turning API Sprawl Into a Governed Capability Fleet for AI

Alpha release of a new integration approach that translates your existing data and APIs into standardized APIs, MCP, and agent skills for AI.

May 13, 2026

by Kin Lane

· 1,904 Views

AWS Kiro: The Agentic IDE That Makes Specs the Unit of Work

You describe a feature, and Kiro generates structured requirements.md, design.md, and tasks.md files first, then implements against them.

May 13, 2026

by Jubin Soni, FBCS

CORE

· 3,677 Views · 2 Likes

How to Build and Optimize AI Models for Real-World Applications

Building effective AI models for real-world applications requires clear problem definition, quality data, the right algorithms, continuous testing, and optimization.

May 13, 2026

by Mitchell Jhonson

· 1,554 Views

How to Test a PATCH API Request With REST-Assured Java

This tutorial demonstrates how to test PATCH requests using REST Assured in Java for API testing, including examples of partial data updates.

May 13, 2026

by Faisal Khatri

CORE

· 4,671 Views

LLM Integration in Enterprise Applications: A Practical Guide

LLM integration boosts efficiency, automates workflows, and sharpens decisions — but success hinges on strategy, execution, and business alignment.

May 13, 2026

by Lilly Gracia

· 2,231 Views

The Art of Token Frugality in Generative AI Applications

Trim your prompts, cache aggressively, route simple queries to smaller models, constrain your outputs, and swap JSON for TOON to lower token bills.

May 12, 2026

by Sibanjan Das

· 2,845 Views

Has AI-Generated SQL Impacted Data Quality? We Reviewed 1,000 Incidents

We analyzed 1,000 data pipeline incidents across 500+ environments and found that code-related failures still account for ~10% of all data quality issues.

May 12, 2026

by Lior Gavish

· 2,940 Views

Code Quality Had 5 Pillars. AI Broke 3 and Created 2 We Can’t Measure

AI-generated code broke three of the five classical non-functional quality pillars — readability, maintainability, and security — while creating two new dimensions

May 12, 2026

by Abgar Simonean

· 3,191 Views · 3 Likes

You Secured the Code. Did You Secure the Model?

AppSec focuses only on code, leaving AI supply chains exposed. Effective security embeds AI checks into workflows, scanning PRs and AI components continuously.

May 12, 2026

by Eran Kinsbruner

· 2,062 Views

When Search Started Breaking at Scale: How We Chose the Right Search Engine

Learn about how we scaled our search system, evaluated Solr and Elasticsearch, and redesigned the architecture for better performance and reliability.

May 12, 2026

by sunil paidi

· 1,598 Views

Scalable Support Request Analysis Using Embeddings, HDBSCAN, and Tiny LLMs

Effective use of historical data to classify support requests into buckets and identify emerging or slightly different patterns.

May 12, 2026

by Jijo Puthalath

· 1,466 Views

DuckDB for Python Developers

DuckDB is an embeddable analytical database that runs inside your Python process with zero setup. It can query CSV files, Parquet, and pandas DataFrames.

May 12, 2026

by varun joshi

· 2,297 Views

AI in Software Development: A Mirror, Not a Magic Wand

AI doesn’t replace engineering discipline; it amplifies it. Used carefully, AI speeds up good design and clean code; used carelessly, it accelerates technical debt.

May 11, 2026

by Jonathan Dodd

· 2,904 Views · 5 Likes

AI-Driven Integration in Large-Scale Agile Environments

Learn how AI integrates with Agile at scale, improving velocity and insights while requiring human oversight, bias control, and continuous feedback.

May 11, 2026

by Abhijit Roy

· 3,187 Views · 1 Like

Mastering SwiftUI Gestures: Basic to Advanced

Learn to implement and combine SwiftUI gestures. From basic taps and swipes to advanced drag and custom gestures, master user interaction in your iOS apps.

May 11, 2026

by Pavel Andreev

· 2,234 Views

Stop Using Python for Your GenAI Apps, Use Go and Genkit Instead

Python has dominated the GenAI conversation, but it is neither the only nor the best option for production. Here is why Go is a stronger bet.

May 11, 2026

by Xavier Portilla Edo

CORE

· 2,159 Views · 1 Like

How to Effectively Evaluate a Ranking ML System

Evaluating ranking systems requires more than offline metrics. Learn how to use offline, online, and business metrics to measure real impact.

May 11, 2026

by Muthukumaran Vaithianathan

· 2,528 Views

Hallucination Has Real Consequences — Lessons From Building AI Systems

This article explains why hallucinations happen, the types, and practical ways to reduce them using RAG, low temperature, guardrails, and validation layers.

May 11, 2026

by Ram Ghadiyaram

CORE

· 2,853 Views · 2 Likes

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