Improve feedback-driven development with confirmations, session tracking, and prompt management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-feedback-enhanced" yet — see the docs or source repo.
Before modifying the deployment script, use an interactive interface to confirm each risk, scope of change, and rollback plan with me, and record this confirmation session.
A workflow with confirmation steps and a traceable saved session record.
Organize the current project's requirement clarifications, historical feedback, and commonly used prompts into a reusable smart prompt management setup for future code generation.
Structured prompt templates, organized context, and recommendations for reuse.
Create session tracking for this feature task, recording each round of user feedback, my confirmations, and the related implementation decisions for later review.
A clear session timeline, feedback summary, and decision log.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Build feedback-driven workflows that confirm with users and reduce tool-call costs.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.
Lets AI agents request terminal-based user feedback during task execution.
Collect interactive user feedback for AI-assisted development via web and desktop apps.
Collect interactive user feedback before AI takes actions in development workflows.