
LLM Temperature, Explained Simply
A concise explanation of LLM temperature, how it changes next-token probabilities, and when to use low, medium, or high values.

A concise explanation of LLM temperature, how it changes next-token probabilities, and when to use low, medium, or high values.

Why LiteLLM is useful for Codex and Claude Code, how to get it running quickly, and why this kind of tooling will matter more as AI agents spread.

Building with AI agents is so easy it's become my new form of procrastination, one that feels like productivity even when it isn't.

A short note on why Google's Stitch stands out as an AI-native UI prototyping tool with real potential.

A short reflection on why trying Gemma 4 made local AI feel practical and exciting again.

Practical habits and patterns that keep your token usage lean when working with AI coding agents, whether you use Claude Code or GitHub Copilot with Codex.

Anthropic just released an official Telegram plugin for Claude Code. Here's how it works and why it changes how I interact with my AI agent.

How I used the Chrome DevTools MCP to trace, diagnose, and fix real performance issues on my photo gallery page — without touching Lighthouse manually.

A practical walkthrough of using Spec Kit to apply Spec-Driven Development inside an existing Next.js project

A look at how the industry is moving from rapid, conversational AI coding to structured, specification-first development and the tools driving that shift.

How I improved Lighthouse performance on image-heavy blog posts using staged optimizations: lazy loading, WebP conversion, and LCP/CLS tuning.

What it took to go from Next.js 9.5, 136 vulnerabilities, and an abandoned MDX plugin to a fully modern stack with zero vulnerabilities — using AI-assisted development.

A curated exploration of the technologies I'm learning in 2026—from AI-powered development and data engineering to infrastructure, mobile development, and ethical hacking.

The biggest leaps in AI aren't coming from better models — they're coming from creative engineers who know how to build smarter software around the ones we already have.

How I use ChatGPT to process handwritten to-do lists into structured, time-blocked markdown for Obsidian—saving time every morning.

Tech layoffs are accelerating—and AI is often cited as the reason. Is this the new normal? A personal reflection on staying adaptable.