iterating-with-ai-and-mcp

To hot reload Jetpack Compose UI with an AI agent, orchestrate an iteration loop using HotSwan MCP tools to edit Kotlin files, trigger reloads, capture screenshots, and evaluate the screen against the mock. The agent repeats this cycle until the UI matches the design intent.

Yes, you can automate screenshot-based UI tuning for Jetpack Compose by instructing an MCP-capable AI client to use HotSwan tools. The agent captures device screenshots after reloading edited Kotlin files and visually evaluates the results to iterate automatically.

The typical AI-driven UI iteration workflow follows a canonical loop: edit the target Kotlin file, trigger a hot reload, take a screenshot, evaluate the visual output, and decide on the next change. Snapshots can be started and stopped to enable safe rollback during experimentation.

Hot reload does not handle schema changes in Jetpack Compose. When schema changes are detected, the HotSwan MCP loop uses a fallback full install path, triggering the hotswan_build_and_install tool to apply the update completely.

Yes, a running HotSwan setup is required alongside an MCP-capable AI client. The AI agent needs access to the HotSwan MCP server and its seven tools to verify watcher state, manage snapshots, reload, and capture screenshots for the Compose UI iteration loop.

Snapshot rollbacks work by starting a snapshot before editing Compose UI code. If the AI agent's changes produce undesirable results, the snapshot allows the agent to revert safely and try a different approach, reducing manual debugging effort.