Tutorials & How-To

Why p99 latency matters more than median for AI agents

Multi-model routing adds 200ms latency. Is it worth it?

6 OpenAI-compatible APIs compared: which drop-in fits?

Switch from OpenAI API to DigitalOcean in 3 lines of code

Why vLLM p99 latency spikes in production (and how to fix it)

Fine-tuning Ornith 9B on one H200 GPU: $85, 25 hours

Multi-node tensor vs pipeline parallelism: a decision guide

When to use tensor vs pipeline parallelism for LLM inference

Why LLM inference is splitting onto separate GPUs

How continuous batching powers vLLM, TGI, and SGLang

Build a support agent with fallback routing

Self-hosted LLM inference gets cheaper at 22% GPU utilization

fdisk vs parted: create Linux partitions the right way

How to set up UFW firewall on Ubuntu and Debian

Server-side vs client-side tools for AI agents: the latency tradeoff

SparseGPT vs Wanda: one-shot LLM pruning without retraining

JavaScript Fetch API: send requests, handle errors, cancel calls

How to configure PHP-FPM with NGINX on Ubuntu

2D arrays in C++: memory layout, vectors, and when to use each

Python find string in list: 7 methods with code examples

How to use cron on Ubuntu to automate any task

Batch File Operations: Save 10+ Hours Monthly on IT Tasks

Manual file creation eats up engineering hours that could go toward revenue-generating work. Batch file operations using PowerShell can automate repetitive tasks, cutting setup time by 90% and freeing your technical team for higher-value projects.

Compact Smart Contract Security: Why One Bug Costs Millions

A common access control pattern in Midnight's Compact smart contracts creates a vulnerability that lets attackers bypass authentication entirely. This isn't a theoretical risk. It's a four-step exploit that any attacker can execute against production contracts.

Univariate Analysis: Find Data Problems Before They Cost You

Univariate analysis lets data teams catch costly errors before they corrupt your models and business decisions. This single-variable inspection technique identifies outliers, skewed distributions, and hidden data segments that can derail analytics projects. For business leaders, it's the difference between trusting your data and discovering problems after you've already made the wrong call.