Latest Articles

Getting Started With RabbitMQ in Spring Boot

Learn RabbitMQ basics with Spring Boot, including exchanges, queues, routing keys, consumers, and Docker Compose in a hands-on example.

July 8, 2026

by Gunter Rotsaert

CORE

· 2,452 Views

AI Is Making PHP Cool Again

The stack everyone called dead has an edge in the AI era, and it comes down to one boring thing: every Laravel project on earth puts the same file in the same place.

July 8, 2026

by Matt Watson

· 1,939 Views

Reading Playwright Traces When Browser Automation Fails

When browser automation fails, the thrown error is usually three steps removed from the actual cause. Treat the Playwright trace as the source of truth.

July 8, 2026

by Cornelius Renken

· 1,573 Views

Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks

This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.

July 8, 2026

by Jubin Soni, FBCS

CORE

· 1,744 Views · 1 Like

Real-Time Face Recognition Using OpenCV, Dlib, and Python

A practical walkthrough for creating a Python-based face recognition app that identifies known individuals in real time using OpenCV, Dlib, and Python.

July 8, 2026

by venkataramaiah gude

· 2,697 Views · 1 Like

AI Won't Keep You from Hitting the Scalability Wall

AI coding tools can dramatically speed up integration builds — but speed isn't the bottleneck. The real issue is the long-term ownership cost.

July 8, 2026

by Bru Woodring

· 1,949 Views · 2 Likes

Building an AI Incident Copilot: How I Automated the First 15 Minutes of Every Production Incident

incopilot is an open-source Python CLI that automates the first 15 minutes of production incident triage — collecting logs, detecting failure patterns, and incidents.

July 7, 2026

by Sudhakararao Sajja

· 3,186 Views · 1 Like

R&D Engineering: Balancing Prototyping, Infrastructure, and Risk

R&D succeeds when teams build just enough infrastructure to validate the highest-risk technical assumptions without over-engineering or over-researching the problem.

July 7, 2026

by Chris Wardman

· 1,798 Views · 1 Like

A Step-by-Step Guide to Implementing Columnar Tables in SQL Server

SQL Server columnar storage organizes data by columns instead of rows, delivering faster queries, better compression, and efficient analytics.

July 7, 2026

by arvind toorpu

CORE

· 2,901 Views · 1 Like

How We Know What We Know

Testing produces evidence, evidence becomes feedback, and feedback helps us make decisions — even as AI reshapes how code is written and tested.

July 7, 2026

by Stelios Manioudakis

CORE

· 3,956 Views · 2 Likes

AI Can't Defend What It Can't See

AI can only defend what it can see. Give it incomplete data, and it won't warn you. It quietly reports everything as healthy while real attacks slip through unseen.

July 7, 2026

by Jithu Paulose

· 2,534 Views · 2 Likes

Designing Tool-Calling AI Agents That Survive Production: A LangGraph Approach

AI agents work in demos and break into production. This LangGraph tutorial builds tool-calling agents that are fail-safe: validated, bounded, and observable.

July 7, 2026

by Shubham Gupta

· 2,113 Views

Building a Mortgage Agent With FRED Data, FastAPI, and LLM Tool Calling

A walkthrough of an open-source intelligent FastAPI app that pairs Freddie Mac benchmarks from FRED with a first-time buyer chat assistant.

July 7, 2026

by Sushma Kukkadapu

· 2,545 Views

An XGBoost Property Valuation Postmortem: Leakage, Overfitting, and SHAP Surprises

V1 had an R² of 0.84 despite a random split. That was a garbage statistic — random splits give future comps away by training on time-dependent data, and Optuna wins.

July 7, 2026

by Tejas Ashok

· 2,376 Views · 1 Like

How to Build a Production-Ready RAG Pipeline With Vector DBs

RAG prototypes are easy. Production RAG is not. This covers vector DB tradeoffs, chunking patterns, re-ranking, and evaluation setups that hold up at scale.

July 6, 2026

by Mark Saxon

· 3,981 Views · 1 Like

Developer’s Checklist: How to Build an FHE Application

This step-by-step checklist breaks down FHE app development from plaintext design to encrypted implementation and offers open-source tools to get you started.

July 6, 2026

by David Archer

· 1,291 Views

HTTP QUERY in Java: The Missing Method for Complex REST API Searches

HTTP QUERY gives Java REST APIs a cleaner way to handle complex searches with request bodies, avoiding long URLs and POST misuse while keeping reads explicit.

July 6, 2026

by Otavio Santana

CORE

· 2,527 Views

Parquet vs Lance: How Storage Layout Changes the Read Path

Parquet is scan-oriented. Lance is access-oriented. The difference is how much data the reader touches before returning results.

July 6, 2026

by Hitarth Trivedi

· 2,266 Views · 1 Like

Add Observability to Your React Native Application in 5 Minutes

A five-minute walkthrough for adding logs, traces, and error monitoring to a React Native iOS app using LaunchDarkly's Observability SDK, shown on a simple counter app.

July 6, 2026

by Alexis Roberson

· 2,111 Views · 5 Likes

Azure Databricks for Scalable MLOps and Feature Engineering With Apache Spark, Delta Lake, and MLflow

A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.

July 6, 2026

by Jubin Soni, FBCS

CORE

· 1,509 Views

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