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AI Integration

Pro Feature

AI context files require a Pro license.

Use AI assistants to analyze your performance data and get optimization suggestions.

How It Works

Section titled “How It Works”

GalataJ automatically creates context files that AI assistants can read:

your-project/
├── .galataj/
│   ├── live-performance.md      ← Current profiling data
│   └── baseline-live-compare.md ← Comparison with baseline

Point your AI assistant to these files and ask performance questions.

Live Performance File

Section titled “Live Performance File”

live-performance.md contains real-time profiling data formatted for AI:

  • Top methods by CPU time
  • Call counts and allocations
  • JVM runtime summary
  • Context detection results

AI Prompts

Updates automatically while profiling is active.

Baseline Comparison File

Section titled “Baseline Comparison File”

baseline-live-compare.md shows how current performance compares to your baseline:

  • Methods that got slower (regressions)
  • Methods that got faster (improvements)
  • Summary statistics

AI Prompts

Updates automatically while profiling is active.

Using with AI Assistants

Section titled “Using with AI Assistants”

Cursor / Windsurf

Section titled “Cursor / Windsurf”

Reference the file directly:

  • “Read @.galataj/live-performance.md and suggest optimizations for the slowest methods”
  • “Read the ‘@.galataj/baseline-live-compare.md’ file and see how performance changes after the latest application.”

ChatGPT / Claude

Section titled “ChatGPT / Claude”
  1. Copy the content from .galataj/live-performance.md
  2. Paste into the chat
  3. Ask your question

Example:

“Here’s my profiling data. Why is OrderService.findAll so slow?”

GitHub Copilot

Section titled “GitHub Copilot”

“@.galataj/live-performance.md analyze the top 5 slowest methods”

Built-in Prompts

Section titled “Built-in Prompts”

GalataJ includes ready-made prompts optimized for performance analysis.

Accessing Prompts

Section titled “Accessing Prompts”

IntelliJ: Profiler panel → Ask AI dropdown

VS Code: GalataJ panel → Ask AI dropdown

Available Prompts

Section titled “Available Prompts”

Analyze Regressions

Find performance issues and bottlenecks

Suggest Optimizations

Get specific code-level fixes

Memory Analysis

Identify allocation issues and GC pressure

IO vs CPU

Determine if methods are IO-bound or CPU-bound

Custom Prompts

Section titled “Custom Prompts”

Want your own prompts? You can add custom prompts that appear alongside the built-in ones.

Adding a Custom Prompt

Section titled “Adding a Custom Prompt”

IntelliJ: Profiler panel → Ask AI → Manage Custom Prompts

VS Code: GalataJ panel → Ask AI → Manage Custom Prompts

Add Custom Prompt

Add to Chat

Section titled “Add to Chat”

Hover any method in the profiler panel → Add to Chat

This copies the method’s metrics directly to your AI conversation.

Tips for Better Results

Section titled “Tips for Better Results”

Be Specific

Instead of “Why is my app slow?” ask “Why is UserService.findAll taking 200ms when baseline was 20ms?”

Include Context

Mention your tech stack: “This is a Spring Boot 3 app with PostgreSQL”

Verify Suggestions

AI suggestions are starting points. Always profile again after making changes.

Next Steps

Section titled “Next Steps”