Why Is My SQL Query Slow Only in Production?
Understanding the Parameter Sniffing Trap
Linux Server Hardening Checklist
30 practical steps to take a fresh Linux box from default to defensible. Enter your email — you'll get the PDF instantly, plus new posts on Linux, security & AI.
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One Orchestrator, Three CLIs: Can Delegating to Codex and Gemini Really Save Your Claude Tokens?
A detailed, battle-tested playbook — the pattern, the prompt templates, the report contract, the token math, and the two hidden costs that decide whether you actually save anything
Migrating from MUI to Shadcn: Navigating the Challenges
A guide to overcoming common pitfalls during migration from Material-UI to Radix UI and Shadcn UI.
Background Removal with rembg and U²-Net: A Complete, Practical Guide
How the U²-Net salient-object model powers one-line background removal — with real, runnable code.
When AI Agents Escape the Lab: Real Companies Breached During Security Tests
Meta joins OpenAI and Anthropic in a growing list of evaluation failures where autonomous AI reached the real internet.
A UI Test That Guesses Is Worse Than One That Fails
Understanding the Risks of Automated UI Testing
LINE MINI App Verification Review: A Pre-Submission Checklist That Prevents Rework
Essential steps to ensure a smooth verification process for your LINE MINI App.
Introducing Aiden: Your New Physical AI Assistant
A device that operates your phone or computer like a human would.
Event Listeners, Processors, and DbContext — Pitfalls Best Practices
.NET 10
Encrypt a High-Privilege API Key at Rest: A GPG Vault That Keeps Secrets Out of AI Transcripts
A portable, dependency-free runbook for locking down a Cloudflare Global API Key — or any account-wide credential — with GPG, a decrypt-and-exec wrapper, and a harness-level guard against accidental leaks.
CityLibrary: A Modern Library Management System
Explore the features and technologies behind CityLibrary, a full-stack library management system.
Loop Engineering: Rethinking AI Agent Performance
A critical look at the effectiveness of loop engineering in AI development.
