ThreadLens: AI Thread Dump Analysis

A Visual Studio Code extension to easily analyze Java thread dumps, detect deadlocks, and get AI-powered insights directly inside VS Code.

Effortlessly load, parse, and explore Java thread dumps, track deadlocks, and troubleshoot performance bottlenecks with the help of AI!

GitHub

LinkedIn

🧩 VS Code

✨ Features

• 📁 Tree View for loaded thread dumps, organizing multiple captures in one place.
• 🚦 Deadlock Detection: Automatically scans and detects Java-level deadlocks.
• 🤖 AI-Powered Analysis: Use an OpenAI API key (or VS Code LM integration) to get intelligent insights on your thread dumps.
• 🗜️ ZIP Archive Support: Easily load zipped thread dumps directly without manual extraction.
• 🧹 Clean and modern native interface for browsing and troubleshooting threads.
• ❌ Remove Dump option to quickly clear out analyzed logs.
• 🧭 Dedicated Activity Bar icon for quick access to the ThreadLens explorer.

🧪 How to Use This Extension

Follow these steps to explore and analyze Java thread dumps right inside VS Code:

1️⃣ Open a Thread Dump

• You can use the Load Files / ZIP command.
• Or simply open a .tdump, .threaddump, or .log file.
• The parsed thread dump will appear in the ThreadLens sidebar!

2️⃣ Analyze with AI

• Trigger the Analyze Thread Dump command.
• If you have configured an OpenAI API key, ThreadLens will use AI to provide intelligent insights into blocked threads or bottlenecks!

📁 Supported File Types

⚙️ Extension Settings

This extension contributes the following settings:

You can add this in your settings.json:

{
  "threadlens.openaiApiKey": "sk-your-api-key-here"
}

📝 Release Notes

📦 v0.0.2

• 📦 Massively reduced extension bundle size (from 23MB down to ~280KB) by optimizing .vscodeignore.
• 🛠️ Fixed internal compatibility with newer VS Code APIs.

📦 v0.0.1

• Initial release of ThreadLens!
• Basic thread dump parsing, Tree View UI, deadlock detection, and AI analysis.

🙌 Stay Connected

If you find this extension helpful, consider supporting it:

	⭐️ Star and Follow the project on GitHub
	Follow me on LinkedIn: linkedin.com/in/shivwakchaure

Your feedback, stars, and shares mean a lot! 💙