Keep a Mac awake while Claude Code runs
A long local Claude Code task can stop when macOS sleeps or the terminal loses power. Keep the host awake for the duration of the job and retain a way to see its progress.
Problem guides
Find tools by the problem you need to solve.
Start with the native workflow, then compare reviewed tools with linked compatibility evidence.
Track Claude Code costs and token use
Claude Code usage is hard to budget when work spans projects, sessions and models. Start with the built-in view, then inspect local history if you need trends.
Manage Claude Code sessions
Several ongoing tasks make it easy to lose track of which terminal is working, waiting or finished.
Compare Claude Code and Codex workflows
Choosing between coding agents depends on where you work, how sessions are managed and which surrounding tools support each CLI.
Monitor Claude Code from a phone
A local agent can continue working while you leave the desk, but a phone needs a secure way to observe or control it.
Debug MCP servers in Claude Code
An MCP server can register but fail to expose tools, connect, or return the expected result.
Find practical Claude Code hook examples
Hook events are useful for repeatable checks, notifications and guardrails, but event names and payloads must match Claude Code’s current hook contract.
Route coding agent models to control costs
A single expensive model for every request can increase spend; switching providers also adds configuration and reliability tradeoffs.
Choose Claude Code skills or plugins
Reusable instructions and distributable bundles solve related but different setup needs.
Recover a lost Claude Code session
After closing a terminal or clearing context, you may need the earlier conversation and its decisions.
Use browser automation with Claude Code
Code changes often need a real browser check for navigation, rendering or page behavior.
Enforce test-first work in Claude Code
A prompt asking for tests first may be skipped when the agent moves quickly into implementation.
Manage Claude Code context pressure
Large logs, long conversations and repeated tool output can consume context before the task is finished.
Run multiple Claude Code sessions safely
Parallel agents can edit the same files and create conflicts while their status becomes hard to follow.
Audit MCP servers before connecting them
An MCP server may access files, credentials or external services, and its tool descriptions can influence an agent’s behavior.