7 articles about ai-coding-tools - lessons from building and scaling real software.
Practical tips for getting the most from Claude Opus 4.7's 1M context window in Claude Code. Effort levels, proactive compaction, subagent delegation, and session management from daily production use.
AI agents produce better output when the codebase is ready for them. Here are the four dimensions of codebase readiness that account for most of the gap.
Claude Code runs terminal commands and asks you to approve them. This explains what those commands mean and when to pause before saying yes.
Ruby LSP now has official Claude Code support. Install the plugin to give Claude go to definition, find references, and call hierarchy across your Ruby project.
How I built a bash-based agent loop that pulls work from Linear, implements features, runs code review, and opens pull requests autonomously.
MCPs give Claude capabilities. Skills teach Claude workflows. Here's the mental model I use to decide which one I need.
How Claude Code's context window works: what consumes tokens (MCP servers, tools, messages), why it matters, and how to manage context effectively.