12 Must‑Try Claude Code Practices to Supercharge Your AI‑Powered Development

1. Longer CLAUDE.md files make Claude ignore later rules

Claude performs best when each CLAUDE.md stays around 60 lines, with an absolute ceiling of 200 lines; beyond that, later rules are silently skipped. Use conditional activation such as <important if="language=go"> to show rules only for Go files, and organize rules per subdirectory in a monorepo:

my-service/
├── CLAUDE.md            # Root: generic rules (~30 lines)
├── api/
│   └── CLAUDE.md        # REST conventions, error codes
├── internal/
│   └── CLAUDE.md        # Package naming, interface design
└── cmd/
    └── CLAUDE.md        # Flag parsing, logging init

Each sub‑directory’s CLAUDE.md contains language‑specific directives that Claude reads only when relevant.

2. Treat Claude Code as an agent, not a chat window

For code‑review tasks, create a read‑only agent instead of adding “only analyze, don’t modify” to every prompt. Place a reviewer.md file under .claude/agents/ with the following front‑matter:

---
name: reviewer
description: Code review specialist. Reads code and provides feedback. Never modifies files.
tools: Read, Glob, Grep
model: claude-sonnet-4-6
---

You are a strict code reviewer.

Only read code, never modify files. Focus on:
- Complete error handling
- Potential concurrency issues
- Reasonable interface design
- Sufficient test coverage

Annotate each comment with file path and line number.

Invoke it with /reviewer; the agent’s limited tools enforce the read‑only constraint automatically.

3. Isolate skill execution with context: fork

By default a Skill shares the main Agent’s context, which can bloat memory after processing many files. Adding context: fork to the Skill’s front‑matter runs it in a disposable sub‑agent, preserving the main context and eliminating the need for manual cleanup.

4. Use Hooks for background automation

Claude Code supports three Hook nodes that run outside the main token loop:

PreToolUse – before a tool executes

PostToolUse – after a tool executes

Stop – after a task finishes

Examples:

Auto‑formatting : attach gofmt to PostToolUse so every generated Go file is automatically formatted.

Dangerous‑operation interception : enable /careful mode; any destructive command like DROP TABLE pauses for manual confirmation.

Task‑completion verification : use a Stop hook to run tests or check file existence before declaring the job finished.

5. Reduce permission prompts with /sandbox

Running commands inside an isolated sandbox cuts the number of approval dialogs by roughly 84 %, while still executing in a controlled environment.

6. Run dozens of Claude instances in parallel

Launch multiple independent agents with claude -w, which leverages git worktree and tmux panes. Each instance works on its own branch (e.g., authentication refactor, DB query rewrite, test generation) without sharing context, enabling true “agentic engineering”.

7. Trigger deeper reasoning with ultrathink

Adding the keyword ultrathink to a task forces Claude into an extended‑thinking mode, yielding richer analysis for complex problems such as service‑splitting designs.

8. Schedule recurring tasks with /loop

Use /loop 30m /code-review (or 5m, 1h) to automatically run a code‑review agent at fixed intervals, up to three days continuously.

9. Ask side questions without interrupting long tasks

The /btw command queues a brief query, allowing Claude to answer at the next natural pause while continuing the main workflow.

10. Keep a “Gotchas” section in each Skill

Document real failures (e.g., avoid using octokit for GitHub API calls, always read CONTRIBUTING.md before generating PR descriptions). These entries are the highest‑signal content for future runs.

11. Verify completion with a Stop hook

Attach a script that runs tests or checks for missing error handling before Claude declares a task finished, preventing silent defects.

12. Speed up the Claude Agent SDK with --bare

Adding the --bare flag skips context discovery (loading CLAUDE.md, configuration checks), yielding up to a ten‑fold launch speed increase. In a pipeline processing ~300 files, runtime dropped from ~40 minutes to ~18 minutes.

These twelve practices, extracted from the shanraisshan/claude-code-best-practice repository’s 69‑item list, help developers unlock the full potential of Claude Code, moving beyond the 20 % of features most users currently exploit.