AI Integration

Pro Feature

AI context files require a Pro license.

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

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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.

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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

Updates automatically while profiling is active.

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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

Updates automatically while profiling is active.

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Using with AI Assistants

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

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

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

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Built-in Prompts

GalataJ includes ready-made prompts optimized for performance analysis.

Accessing Prompts

IntelliJ: Profiler panel → Ask AI dropdown

VS Code: GalataJ panel → Ask AI dropdown

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

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Custom Prompts

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

Adding a Custom Prompt

IntelliJ: Profiler panel → Ask AI → Manage Custom Prompts

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

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Add to Chat

Hover any method in the profiler panel → Add to Chat

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

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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.

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Next Steps

• Session History — Save sessions for AI analysis
• Understanding Metrics — Know what to ask about