Demo: Building a live feedback capture system using AI transcription

2026-03-04 · Source: How I AI · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure, Project & Product Management · Depth: Intermediate, quick

Summary

A new in-house tool facilitates live feedback capture, streamlining the process from bug identification to pull request creation. The tool allows users to report issues directly from an application, such as a "trade tab" where numerical input was not displaying. This feedback is then automatically converted into a structured ticket within Linear, including a suggested title and user journey context. Subsequently, another internal tool, "Cloudbot," is used to initiate a pull request (PR) for the identified repository, such as "wallet mobile," directly linking it to the newly created Linear ticket. This integrated workflow aims to accelerate the resolution of reported bugs.

Key takeaway

For MLOps Engineers or Product Managers focused on rapid iteration and bug resolution, consider implementing an integrated feedback-to-development pipeline. Automating the creation of tickets and pull requests directly from user feedback can significantly reduce friction and accelerate the time from bug report to fix. This approach ensures that critical issues are addressed promptly, maintaining application stability and user satisfaction.

Key insights

Integrated tools can automate bug reporting, ticketing, and PR creation for faster issue resolution.

Principles

• Automate feedback capture
• Streamline issue tracking
• Link development artifacts

Method

Capture live feedback, convert to a structured ticket in Linear, then use Cloudbot to create a linked pull request for the relevant repository.

In practice

• Implement live feedback capture
• Integrate ticketing systems
• Automate PR generation

Topics

• Live Feedback Capture
• Bug Reporting Workflow
• Linear Ticketing System
• Pull Request Automation
• Cloudbot Tool

Best for: Software Engineer, MLOps Engineer, Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by How I AI.