Files
vibn-frontend/lib
Mark Henderson 9ddbe5b7d8 feat(sentry-as-product): auto-provision per-project + AI feedback loop
Implements all 4 stages from SENTRY_AS_PRODUCT.md:

Stage 1 — Auto-provision per-project Sentry:
- New module lib/integrations/sentry.ts with idempotent
  ensureSentryProject(): creates Sentry project under shared
  vibnai org, fetches DSN, persists to fs_projects.data.sentry.
- Wired into POST /api/projects/create (provision early so DSN is
  ready before first deploy) and into applyEnvsAndDeploy in MCP
  (lazy retry + env var injection on every apps.create).
- applySentryEnvToCoolifyApp upserts NEXT_PUBLIC_SENTRY_DSN +
  SENTRY_AUTH_TOKEN onto the Coolify app, so the very first build
  inlines the DSN into the client bundle and uploads source maps.

Stage 2 — Bake into scaffolds:
- New module lib/scaffold/sentry-snippets.ts exposes canonical
  Next.js + Vite+React snippets the AI copies verbatim (keeps
  outputs deterministic across chats).
- AI system prompt updated: explicit instructions to wire Sentry
  on every new app, env vars are guaranteed available, project
  Sentry slug comes from projects_get.
- projects.get MCP response now includes `sentry: {slug, dsn,
  provisionedAt}` so the AI can substitute the slug into
  withSentryConfig({ project: <slug> }).

Stage 3 — Expose error feed to the AI:
- Three new MCP tools registered:
    project_recent_errors  — list unresolved issues
    project_error_detail   — stack trace + breadcrumbs + replay url
    project_error_resolve  — mark resolved after a verified fix
- Tenant-safe: each tool re-checks projectId belongs to caller's
  workspace before talking to Sentry.

Stage 4 — Auto-surface at chat-turn start:
- chat/route.ts pulls listRecentSentryIssues for the active
  project (last 6h, count ≥ 2 to skip noise) and appends a
  [PROJECT HEALTH] block to the system prompt. AI decides
  whether to surface a one-liner; if user's message is about a
  broken thing, AI prefers Sentry stack trace over guessing.

End state: a Vibn user's deployed app crashes for a real user →
Sentry captures with source-mapped stack trace + Session Replay →
next AI chat turn the AI knows about it and can offer a fix
without the user pasting the error.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-01 12:52:17 -07:00
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2026-02-15 19:25:52 -08:00
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