settings.json, CLAUDE.md, slash commands, subagents, hooks. Claude Code’s customization surface settles into four layers once you pick one axis: when does each one step in?

alacritty + tmux + nvim + zsh + Claude Code, all in a single screen. A dotfiles repo that reproduces the whole thing with one line of setup.sh.

A good engineer isn’t someone who knows technology well, but someone who can share that knowledge with their team.

Building my first ML Lifecycle — a three-tier architecture for DSP Fallback CTR prediction — as a backend engineer without an AI background. The technical decisions I made, and what I learned through running it.

Which slot of the ML lifecycle each MLflow component fills, and which pieces a lightweight team can pick.

sklearn and ONNX aren’t competing at the same layer. Once you separate their roles, the real question becomes ‘do I need an ONNX layer at all?’

The structure and characteristics of Logistic Regression, and why an old model still holds the baseline position in CTR prediction.

A record of implementing and benchmarking three Go concurrency patterns — mutex, channel, and lock-free — to build hands-on understanding.

Go’s concurrency model builds on CSP, providing Goroutines and Channels as core tools. An overview of how each works and when to choose what.

A record of designing and building a chat system as a personal project to gain hands-on experience with Kafka and Hexagonal Architecture.