OpenCode Agentation FAQs

Question 1

What kind of context is provided to AI agents?

Accepted Answer

AI agents receive comprehensive context from UI annotations, including CSS selector paths, React component trees, accessibility attributes, element bounding boxes, user comments, and even selected text, enabling highly targeted and informed fixes.

Question 2

What is OpenCode Agentation?

Accepted Answer

OpenCode Agentation integrates Agentation's UI feedback system with OpenCode's AI agents via the Model Context Protocol (MCP). It automates the workflow from UI annotation to AI-driven code fixes, streamlining development and bug resolution.

Question 3

How does OpenCode Agentation automate code fixes?

Accepted Answer

It processes real-time UI annotations, extracting rich context like CSS selectors, React components, and accessibility information. This context is fed to connected AI coding agents (e.g., Claude Code, Cursor) which then generate and apply code fixes.

Question 4

What operational modes does OpenCode Agentation support?

Accepted Answer

The tool offers flexible operational modes including manual, hands-free, critique, and self-driving. This allows developers to choose their preferred level of AI agent involvement in the code fixing process.

Question 5

Is OpenCode Agentation compatible with different AI coding agents?

Accepted Answer

Yes, thanks to its native Model Context Protocol (MCP) integration, OpenCode Agentation is designed to connect with and leverage various AI coding agents, such as Claude Code and Cursor, for broad compatibility and flexibility.

OpenCode Agentation

OpenCode Agentation

주요 기능

사용 사례

주요 기능

사용 사례