---
name: cpu-profiling
description: >
  Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths
  consuming most CPU time for better performance and resource efficiency.
---

# CPU Profiling

## Table of Contents

- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)

## Overview

CPU profiling identifies which functions consume most CPU time, enabling targeted optimization of expensive code paths.

## When to Use

- High CPU usage
- Slow execution
- Performance regression
- Before optimization
- Production monitoring

## Quick Start

Minimal working example:

```yaml
Browser Profiling:

Chrome DevTools:
  Steps:
    1. DevTools → Performance
    2. Click record
    3. Perform action
    4. Stop recording
    5. Analyze flame chart
  Metrics:
    - Function call duration
    - Call frequency
    - Total time vs self time

Firefox Profiler:
  - Built-in performance profiler
  - Flame graphs
  - Timeline view
  - Export and share

React Profiler:
  - DevTools → Profiler
  - Component render times
  - Phase: render vs commit
  - Why component re-rendered
// ... (see reference guides for full implementation)
```

## Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents |
|---|---|
| [Profiling Tools](references/profiling-tools.md) | Profiling Tools |
| [Analysis & Interpretation](references/analysis-interpretation.md) | Analysis & Interpretation |
| [Optimization Process](references/optimization-process.md) | Optimization Process |
| [Monitoring & Best Practices](references/monitoring-best-practices.md) | Monitoring & Best Practices |

## Best Practices

### ✅ DO

- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying

### ❌ DON'T

- Skip testing or validation
- Ignore error handling
- Hard-code configuration values