/BugLens

πŸ” Analyze Slack conversations effortlessly with BugLens, generating root cause analyses and QA insights using AWS Bedrock AI models.

Primary LanguagePython

πŸ› οΈ BugLens - Analyze Conversations for Actionable Insights

πŸš€ Getting Started

Welcome to BugLens! This tool helps you analyze Slack conversations to generate detailed reports. With the power of AWS Bedrock AI, you can uncover key insights for your development and quality assurance teams. Let’s get you set up.

πŸ“₯ Download BugLens

Download BugLens

πŸ’‘ What You Need

Before you download BugLens, ensure your system meets the following requirements:

  • Operating System: Windows 10 or later, macOS 10.14 or later, or a recent Linux distribution.
  • Python Version: Python 3.7 or later.
  • Memory: At least 4GB RAM.
  • Disk Space: 100MB of available storage.

πŸ”— Download & Install

To get started, visit the Releases page to download BugLens. Here you will find all available versions of the application.

  1. Go to the Releases Page: Click here to visit the page.
  2. Choose Your Version: Select the version that fits your operating system.
  3. Download the File: Click the download link for your chosen version. This will start the download.
  4. Run the Installer: Open the downloaded file and follow the on-screen instructions to complete the installation.

πŸ” Features

BugLens comes packed with features to streamline your analysis process:

  • Slack Integration: Connect and analyze your Slack conversations efficiently.
  • AWS Bedrock AI: Leverage advanced AI algorithms for deeper insights.
  • Root Cause Analysis Reports: Generate structured reports that reveal the root causes of issues.
  • JIRA Integration: Create actionable items directly in JIRA from your reports.
  • Intelligent Summarization: Get concise summaries of lengthy conversations, saving you time.

πŸ› οΈ How to Use BugLens

Once you've installed BugLens, follow these steps to start analyzing your Slack conversations:

  1. Open BugLens: Launch the application on your computer.
  2. Connect to Slack: Log in using the Slack account you want to analyze.
  3. Select Conversations: Choose the specific channels or messages you want to evaluate.
  4. Run Analysis: Click the β€œAnalyze” button to start processing the selected data.
  5. View Reports: Once the analysis is complete, view the generated reports and summaries.

πŸ“Š Understanding Your Reports

After running BugLens, you will receive detailed reports. Here’s how to interpret them:

  • Summary Section: Provides an overview of key conversation themes and insights.
  • RCA Findings: Lists the main issues identified along with their root causes.
  • Action Items: Highlights tasks that need addressing, which can be synced to JIRA.

Use these insights to improve processes and resolve issues effectively.

πŸ› οΈ Troubleshooting

If you experience issues while using BugLens:

  • Installation Problems: Ensure your Python version meets the minimum requirements.
  • Slack Connection Issues: Double-check your Slack permissions to ensure BugLens has access.
  • Analysis Errors: Restart the application and try again. Make sure you're analyzing valid channels.

πŸ’¬ Community Support

Join our community for any questions or discussions about BugLens. Here’s how:

  • GitHub Issues: Report bugs or request new features directly in the repository.
  • Slack Channel: Engage with other users and developers in our dedicated Slack channel for BugLens discussions.

πŸ“„ License and Contribution

BugLens is open-source software. You can view the license details in the repository. If you wish to contribute to BugLens:

  1. Fork the Repository: Use GitHub to create a copy of the repository.
  2. Make Your Changes: Alter the code as needed.
  3. Submit a Pull Request: Share your improvements and features with the community.

βœ… Final Notes

Download BugLens today and start gaining insights from your Slack conversations. For more information, feel free to visit the Releases page at any time. Your feedback helps us improve and grow!