AI Debugger

The AI Debugger enables you to run crazy fast debugging sessions for the bug reports that you create using BetterBugs.

What is BetterBugs AI Debugger?

AI-Debugger is an integrated AI tool within the BetterBugs app that runs auto-analysis and diagnosis of the bug reports you create using the BetterBugs tool. This allows you to run AI-assisted debugging sessions for your bug reports and fix issues way faster than just debugging using manual methods.

Based on the visual evidence (screenshot, screen recording, or two-minute Rewind video session) + auto-captured technical details of the issue (console logs, network requests, device info, env details, and others) + the complete context of the issue that comes bundled as a context-rich and data-filled bug report, the AI-Debugger analyzes the report for you within seconds and provides:

• Root cause analysis

• Possible solutions

• Test cases for the issue

• And more.

NOTE: The BetterBugs AI debugger is powered by Anthropic. Using the AI-Debugger is completely optional, and it only analyzes your bug reports upon your consent. We respect your data privacy. Also, no models are trained using your data in any form or format.

What are the key benefits of using the BetterBugs AI Debugger?

Using the AI Debugger, you can:

• Get an intelligent analysis of the bug report within seconds

• Get auto-analysis of the clicks and page navigation steps that triggered the error + issue reproduction steps

• Get a potential root cause analysis of the issue

• Analyze errors and technical details auto-captured by BetterBugs from the browser devtools — device info, environment info, console logs, network requests (failed API calls and others), warnings, page navigation steps, device info, and others.

• Get analysis of frontend errors — CSS, design issues, and layout issues

How does the BetterBugs AI Debugger work?

Once you create a bug report and upload it to your BetterBugs project, you’ll find an AI-Debugger tab in the devtools console of the bug report.

Here, you can interact with the AI-Debugger agent in a chat format for analysis or get more information about the issue.

Upon your consent to analyze the bug report, the AI-Debugger gives you a detailed and step-by-step breakdown of the:

• Errors

• Reproducibility

• Root Cause

• Suggested Solutions

• Test Cases

• Conclusion

Along with the visual proof of the issue + auto-captured technical details of the issue (console logs, network requests, and others) packed within the bug report, you can leverage AI as a sidekick to analyze the details in the bug report to find the root cause of the issue much faster and debug way better.

Key features of the AI Debugger

• Interactive chat for using the debugger.

• Cut back on manual research for fixing errors — the AI-Debugger does this for you.

• Event capture and translation into human-readable steps.

• Smart error analysis and AI-driven bug diagnosis within seconds.

• Auto debugger that uses the captured technical details and visual proof of the issue (screenshot or screen recording, or Rewind session video) for context-driven and data-backed analysis.

AI Privacy Policy

• Anthropic's privacy policy strictly prohibits using user data and input/outputs for training their models.

• BetterBugs does not allow auto-sharing or analysing your data by third-party AI providers.

• You’ll need to provide consent to use the AI-Debugger each time you want to analyze a report. That way, you’re in full control of which bug reports get analyzed and which ones don’t.

Also, check out our Privacy Policy and Security and Compliance page for more info on the safeguards in place.

How to use the AI Debugger (for a new bug report)

Using the AI debugger is super easy. Here’re the steps:

1

Create a bug report using BetterBugs

Take a screenshot, record a screen, or hit Rewind (if it's enabled) to capture the visual proof of the issue using the BetterBugs extension.

For instance, click the “Screen Record” option.

2

Stop recording and add issue details

Stop the recording. Then, add details of the issue (Title*, manual summary, other details).

NOTE: You can also use the “Write with AI Assistant” option to instantly add a concise summary and steps to reproduce the issue.

Using it is totally optional and works only with your consent.

3

Select BetterBugs workspace and project

From the dropdowns at the top right of the report screen, select the BetterBugs Workspace and Project to upload the report.

4

Upload report

Next, hit the “Upload Bug Details” button at the bottom right to upload the report to your BetterBugs project.

5

Open the “AI-Debugger” tab

Now, within the report, press the “AI-Debugger” tab from the below devtools within the BetterBugs report.

6

Allow the AI-Debugger to start analysis

You’ll be prompted to allow the AI-Debugger to analyze the issue and provide a diagnosis based on the visual evidence, context, and technical info available in the report (console logs, network requests, environment info, and others).

Click “Yes” to continue with the bug report analysis.

Within seconds, it gives you the root cause analysis, possible solutions, and other information about the error.

7

Continue analysis in the chat

You can continue with the analysis in the interactive chat and ask follow-up questions to aid you with the debugging process.

Using the AI Debugger for existing bug reports

You can also use the AI-Debugger for existing reports on BetterBugs. For this:

1

Open a report

Log in to BetterBugs and open a report from a project.

2

Open the “AI-Debugger” tab

Now, within the report, press the “AI-Debugger” tab from the below devtools within the BetterBugs report.

3

Allow the AI-Debugger to start analysis

You’ll be prompted to allow the AI-Debugger to analyze the issue and provide a diagnosis based on the visual evidence, context, and technical info available in the report (console logs, network requests, environment info, and others).

Click “Yes” to continue with the bug report analysis.

Within seconds, it gives you the root cause analysis, possible solutions, and other information about the error.

4

Continue analysis in the chat

You can continue with the analysis in the interactive chat and ask follow-up questions to aid you with the debugging process.

Frequently asked questions (FAQs)

What data does the AI Debugger analyze?

The AI-Debugger analyzes the complete information available in a bug report, including the visual evidence (screenshot, screen recording, or Rewind session video), text details added to the report, and the technical info captured by BetterBugs about the issue (console logs, network requests, errors, environment info, and others). Also, using the AI Debugger is an opt-in feature and we do not analyze the bug report without your explicit consent.

How accurate are the solutions provided by the AI-Debugger?

The AI-Debugger suggests the root cause analysis, possible solutions, test cases, and conclusion by analyzing the complete info available in the bug report. Simply put, it acts as your sidekick that helps you get a head start on your debugging sessions to get issues fixed much faster.

Is my data used to train AI models?

No. We do not share your data for training AI models and your debugging data remains private at all times. Anthropic’s privacy policy strictly does not allow user input/output data sent through their API for model training.