Codebase understanding is the most important developer skill nobody teaches. Schools teach algorithms. Bootcamps teach frameworks. Nobody teaches: “here’s a 500K-line codebase you’ve never seen — figure out how to Continue reading Understanding Your Codebase in 2026: The Complete Guide
You have 10 minutes with the repo before your final interview round. Here is exactly what to check. Minute 1-2: Git Health How often does main get commits? Daily = Continue reading The 10-Minute Codebase Audit: What to Check Before Joining a New Team
A lot of developers think DI registration is simple: services.AddScoped<IMyService, MyService>(); Done. Until someone registers the same interface twice. Or a NuGet package adds a default implementation. Or your IEnumerable<T> Continue reading The Real Difference Between Add, TryAdd, and TryAddEnumerable in .NET
Being proactive is essential. One thrilling and effective method to protect your systems is by creating a honeypot. A honeypot is an imitation system meant to lure hackers — leading Continue reading How to Install a Honeypot to Catch Hackers
Program 기계가 이해할 수 있는 언어로 지시 기계가 어떤 일을 하도록 절차나 방법을 정해둔 것 폰 노이만 구조의 컴퓨터 – CPU가 모든 일을 처리할 수 있도록 하고 프로그램은 메모리에서 불러와서 Continue reading 프로그래밍 개요
Fastfood: make kernel models super fast for big data Big machine learning models can be slow and eat lots of memory when making predictions, especially on big data. A clever Continue reading Fastfood: Approximate Kernel Expansions in Loglinear Time
This week, Anthropic went properly on the offensive. According to Reuters, Anthropic is spending millions on Super Bowl ads that take a swipe at OpenAI’s reported plans to introduce advertising Continue reading The first real AI platform war is about ads (and that should worry builders)
Next in the AI Safety Evaluation Suite: Measuring AI Hallucinations. When models start inventing facts with the confidence of established truth, we enter entirely new territory in AI safety. Have Continue reading Measuring Model Hallucinations: When AI Invents Facts
In the previous blog, we explored CRFEntityExtractor, a sequence-labeling model that learns how entities appear in context using statistical features. CRF represented a major step forward from pure rule-based extraction. Continue reading What is the DIETClassifier?
Hey — listen, I spent part of yesterday poking at TagXMLGen (app) from OrchardKit, and I figured I should write this down while it’s still fresh. This is one of Continue reading “A Quiet Fight With Gatekeeper: Notes from Setting Up TagXMLGen on macOS”
I like contributing to open source. What I don’t like: – Opening an issue – Reading the description – Still having no idea where in the codebase to start Docs Continue reading Why Most Open-Source Issues Feel Hard (And What I’m Building to Fix It)
TL;DR We chose ZITADEL for our multi-tenant ERP because it promised native multi-tenancy, an event-sourced architecture, and an API-first design in Go. What we got instead was deprecated APIs that Continue reading Why We Stopped Recommending ZITADEL for Self-Hosting: A Developer’s Field Report
As you probably didn’t even notice, I skipped January issue of my wannabe monthly newsletter. I was in a hurry towards some deadlines, and I wrote 3 other articles in Continue reading New in Vue – February 2025
Hi everyone, I’m working on a side project called OfferCheck to help engineers evaluate job offers more realistically. The motivation was simple: CTC numbers look good on paper, but it’s Continue reading Built a salary benchmarking tool — would love critical feedback
Recently, I was working on a new project — a clone of the company’s original product — and was assigned a ticket regarding an email sending issue on a high-priority Continue reading How AWS Kinesis and Lambda Work Together to Send Emails Instantly
