Developed an opt-in feedback regeneration feature for the Slack bot in the cnoe-io/ai-platform-engineering repository, focusing on user-centric UX improvements and robust, testable code. The work introduced a checkbox in the Slack bot UI, allowing users to control response regeneration based on feedback captured in a modal, thereby preventing unwanted automatic responses. Legacy actions were unified under this new flow, ensuring consistent handling for various feedback types. The regeneration decision logic was extracted into a unit-testable Python utility, enhancing test coverage and reliability. The project emphasized Python development, Slack bot integration, and unit testing, culminating in a release-ready version update.