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Mini-app editor testing (Edit with AI)

miniapp-edit-testing

Test and debug the Dashboard “Edit with AI” mini-app editor flow (start edit session, build, history, close session) and write automated tests that simulate agent-driven mini-app edits like adding dark mode.

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SKILL.md

Full skill instructions

Mini-app editor testing (Edit with AI)

Use this when you need to validate that mini-app editing works end-to-end (or via integration tests) from the Dashboard’s “Edit with AI” action, including common changes like adding dark mode.

What to test

  • The Dashboard client calls the mini-app editor endpoints (example: POST /​api/​apps/:appName/​edit) with the user prompt.
  • The server validates inputs (app name format, prompt length) and forwards to the edit-service.
  • The response contains sessionId, commitHash, portalUrl, and buildStatus.

Recommended test strategy (fast + deterministic)

  • Prefer route-level integration tests with a mocked edit service:
    • Mock startEditSession(appName, prompt, createNew) and continueEdit(sessionId, prompt)
    • Assert the route returns the expected JSON shape and HTTP status codes
    • Avoid requiring a real OpenCode server or real git worktrees for CI stability

Useful repo pointers

  • Dashboard frontend API client functions live in packages/​dashboard/​frontend/​src/​api.ts (look for editApp, buildApp, getHistory, closeSession).
  • The “Edit with AI” UI lives under packages/​dashboard/​frontend/​src/​components/​MiniAppEditor/.
  • Mini-app edit routes may be disabled/​stubbed in the Dashboard server; if editor endpoints return 404/​503, check the Dashboard router wiring in packages/​dashboard/​src/​server/​routes.ts.

Debug checklist (when edits fail)

  • If you see 502 from /​api/​apps/:appName/​edit, verify the upstream service is running and the Dashboard route is mounted.
  • If the editor modal errors immediately, check browser console + network response body for { error, message }.

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