Works with Claude Code & Codex

Know how your team uses AI coding tools

Codeusage gives engineering leaders visibility into AI tool adoption — who's using them, on which projects, and what it costs.

Codeusage Dashboard
Tasks
Sonnet 4
Sonnet 4
Sonnet 4
Task Details
Developer:sarah
Project:api-service
Model:Sonnet 4
Time:2:34 PM
Token Usage

Input

12.4k

Output

3.2k

Cache

8.1k

Cost

$0.042

Duration

2m 15s

Files

3

Tools Used
Edit (5)Read (3)Bash (2)
Automatic Tracking

Every task captured automatically

Codeusage hooks directly into your AI coding workflow. No manual logging, no exports — just code and let us handle the rest.

Hooks after every task

Capture all sessions automatically

Zero manual intervention

Set up once, track forever

Offline buffering

Never lose data, even offline

100% task coverage

Complete usage visibility

Up and running in 60 seconds

Three commands is all it takes to start tracking.

Terminal
#Step 1: Install the CLI
$bun add -g codeusage-cli
✓ Installed successfully
#Step 2: Connect to your workspace
$codeusage init
Enter your API key: ••••••••
✓ Connected to workspace
#Step 3: Start coding — we handle the rest
$claude
Every task is now tracked automatically...
60s
Setup time
0
Config files needed
100%
Task coverage

Everything you need to understand AI tool usage

Get insights into how your engineering team leverages AI coding assistants to ship faster.

Usage Analytics

Track token usage, costs, and task metrics across your entire team in real-time.

Developer Insights

See who's using AI tools, how often, and measure productivity improvements.

Project Tracking

Monitor AI usage by project to understand where tools add the most value.

Cost Management

Get detailed cost breakdowns by developer, project, and model to optimize spend.

CLI Integration

Simple CLI hooks into Claude Code and Codex. One command to start tracking.

Privacy First

We only collect metadata. No prompts, no code, no sensitive data ever leaves your machine.

Available Commands

Simple CLI commands to manage your tracking setup.

Terminal
$codeusage init

# Initialize and connect to your workspace

$codeusage status

# Check connection and sync status

$codeusage sync

# Manually sync pending tasks

$codeusage config

# View current configuration

$codeusage project set <name>

# Set project name for current directory

$codeusage project list

# List all project mappings

$codeusage project ignore

# Ignore current directory (stop tracking)

$codeusage project current

# Show project for current directory

$codeusage logout

# Disconnect and remove configuration

Ready to track your AI coding usage?

Get started in under a minute. Free while in beta.