• TIMELINE
  • DISTRIBUTION
  • EFFICIENCY
  • HUMAN

How to analyze coding activity patterns with your AI

Connect WakaTime to your AI client to turn raw activity logs into a clear picture of your work habits.

Ask AI about this page

Short answer

How do I use AI to audit my coding habits?

Your AI pulls raw activity data from WakaTime to map out exactly when you are most active and which projects consume your time. You get a breakdown of peak productivity windows and time distribution across your repositories.

The results.

Where your data lands.

The AI processes your WakaTime logs into these specific insights.

TIMELINE

Peak focus windows

The AI identifies the specific hours of the day when your coding activity is highest. You'll know exactly when to schedule deep work.

DISTRIBUTION

Project time splits

By looking at your recent activity, the AI calculates how much time you spend on specific repos or languages. This shows where your focus is drifting.

EFFICIENCY

Context switching costs

The AI spots frequent jumps between different files or projects. You'll see how much time you lose to fragmentation.

HUMAN

Schedule adjustments

The AI provides the data, but you decide how to change your routine. Use these insights to block out your calendar for better flow.

The workflow

What your AI does when the data arrives.

The AI moves from raw logs to actionable patterns through a three-step process.

  1. Gathering raw logs

    The AI pulls every individual coding event recorded in your history to build a complete activity map.

    list_heartbeats

  2. Calculating time blocks

    It groups those events into specific duration segments to see how long you actually stay in the zone.

    list_durations

  3. Aggregating totals

    The AI uses high-level summaries to quickly categorize your time by language or project without scanning every single heartbeat.

    list_summaries

  4. Pattern recognition

    The AI compares your daily and weekly totals to find the trends in your work rhythm.

    list_summaries

Try it

Copy these to start.

Use these prompts to begin your audit.

Starting points

These are opening lines. Swap out the project names or timeframes to match your actual WakaTime history.

WakaTime Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_AB4t6k4hg7aaksv2YUC1kPAcw00en9TrAEER6qs2/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — WakaTime capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wakatime-coding-stats-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AB4t6k4hg7aaksv2YUC1kPAcw00en9TrAEER6qs2/mcp"
    }
  }
}
Copy into chat04

  • Look at my WakaTime heartbeats from the last 7 days and tell me what time of day I am most productive.

  • Analyze my duration blocks for the 'backend-api' repo to see how much time I spent on it this week.

  • Based on my recent summaries, which programming language am I spending the most time in right now?

  • Check my activity for the last month and identify any patterns of heavy context switching between projects.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect WakaTime once, then ask.

Just link your account through the Vinkius dashboard. Your credentials stay encrypted, and you can immediately start asking your AI about your stats.

Connect WakaTime to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my WakaTime settings?

    No. The AI can only read your activity data. It cannot modify your WakaTime account or settings.

  • 02

    Can the AI delete my coding history?

    No. This MCP is read-only. Your historical data remains untouched.

  • 03

    Does the AI see my actual code?

    No. The AI only sees the metadata provided by WakaTime, such as project names, languages, and time spent.

  • 04

    How far back can the AI look?

    The AI can look back as far as your WakaTime history goes, provided you ask it to pull the relevant heartbeats or summaries.

  • 05

    Can I use this with Cursor?

    Yes, as long as you are using an MCP-compatible client like Cursor, Windsurf, or Claude.

  • More questions about WakaTime? The Connector page answers them. See everything the WakaTime Connector can do

Connect WakaTime to Claude, Cursor, ChatGPT & more