Create an automated system that captures live audio feedback, uses an LLM to transcribe and summarize it, creates a ticket in Linear, and then triggers a pull request via a custom Slack bot.
with Claire Vo
During a user feedback or dogfooding session, use a simple web app on a mobile device to record the user's spoken feedback directly.
Send the captured audio file to a Large Language Model. Use a system prompt to instruct the AI to transcribe the audio, identify any bugs or feature requests, and generate a concise summary of the issue.
Integrate the output from the LLM with your project management tool, such as Linear. Automatically create a new ticket populated with the AI-generated title, summary, and relevant tags.
Use a custom-built Slack bot that has context on your codebase. From a Slack channel, run a command to have the bot automatically generate a draft pull request to address the newly created ticket.
Claude bot create pr --repo wallet-mobile --ticket [TICKET_ID]
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