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Documentation Index

Fetch the complete documentation index at: https://jam.dev/docs/llms.txt

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AI Debugger is powered by OpenAI and integrated directly into your Jam bug reports. It’s opt-in and respects your data privacy. No models are trained with your data.

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Overview

AI Debugger analyzes your Jam bug reports and provides targeted debugging assistance. It uses the complete browser context from your Jam (logs, network requests, device data, and session replays) to identify root causes and suggest specific fixes.

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Key benefits

  • Skip the research: Get potential causes and solutions without diving into Stack Overflow
  • Fix code instantly: Send broken code and receive working, rewritten versions
  • Handle any framework: Works with JavaScript frameworks, CSS libraries, and responsive design issues
  • Interactive debugging: Chat interface lets you refine suggestions based on your findings
  • Control detail level: Switch between verbose explanations and quick summaries

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How it works

AI Debugger uses the full technical context that Jam automatically captures:
  • Session replays showing exact user interactions
  • Console logs with errors and warnings
  • Network requests including failed API calls
  • Device information and browser specifications

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Core capabilities

Identify Issues Fast - AI Debugger analyzes your Jam’s complete technical context to suggest potential causes, eliminating guesswork and reducing time spent searching for solutions.

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Getting started

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Access AI Debugger

1

Open any Jam bug report

2

Find the AI Debugger option

Look for the AI Debugger option in the interface.
3

Opt in to AI analysis

Click Yes when prompted.
4

Review the suggestions

AI Debugger analyzes your Jam’s technical context and returns suggestions.

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Customize output detail

Switch between verbose and concise modes based on your needs:
  • Verbose mode: detailed explanations and step-by-step fixes
  • Concise mode: quick summaries and direct action items

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Data privacy

AI Debugger is opt-in. Data only reaches OpenAI’s API when you click to analyze a Jam. OpenAI does not use customer API data to train their models.

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Privacy safeguards

  • Opt-in only. No automatic data sharing.
  • OpenAI API policy prohibits using customer data for model training
  • You control when and which Jams get AI analysis

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FAQs

No. OpenAI has a strict API policy that prohibits using customer data submitted through their API to train or improve their models. Your debugging data remains private and is only used to provide you with suggestions.
AI Debugger uses the same technical context that Jam captures: session replays, console logs, network requests, device information, and any additional details in your bug report.
No. AI Debugger requires sending your Jam’s technical context to OpenAI’s API to provide analysis and suggestions. This is opt-in. You choose each time whether to use the feature. No models are trained on your data.
Yes. AI Debugger adapts to different JavaScript frameworks, CSS libraries, and development environments. It uses the actual context from your browser session to provide relevant suggestions.
AI Debugger provides educated suggestions based on your complete browser context, but you should always review and test any code changes. Think of it as an experienced debugging partner, not an automated fix.