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01 What is Comie.dev?

Comie.dev is a production context layer for AI coding agents. It connects tools like Cursor, Claude Code, and Codex to your production stack in safe read-only mode, so agents can debug, validate, and reason against real production systems while you build.

02 Which tools does Comie support?

We currently support integrations across databases, observability, analytics, and infrastructure tools including: PostgreSQL MySQL MongoDB Redis Supabase Convex PostHog Sentry Datadog More integrations are being added continuously.

03 Is Comie read-only?

Yes. Comie is read-only by default. Agents can inspect logs, traces, analytics, schemas, queries, and infrastructure context, but cannot modify production systems or data.

04 How does Comie work with AI coding tools?

Comie plugs into existing agentic coding environments through MCP-compatible integrations. You continue using tools like Cursor, Claude Code, Codex, or OpenCode normally — Comy simply gives them production awareness.

05 Can Comie help debug production incidents?

Yes. Comie allows agents to: inspect logs trace failing requests correlate analytics events inspect database state identify problematic code paths reproduce issues locally suggest fixes directly inside your editor

06 Does Comie store our production data?

No raw production data is permanently stored by default. Comie retrieves scoped context needed for reasoning and debugging while respecting provider permissions and access controls.

06 Does Comie replace observability tools like Sentry or Datadog?

No. Comie sits on top of your existing stack and gives AI agents the ability to reason across those tools together. Think of it as an operational context layer for coding agents.

07 How long does setup take?

Most teams are fully connected in under 60 seconds. Select your stack, add your provider keys, run one install command, and your agents immediately gain production context.

08 Who is Comie built for?

Most AI coding tools only understand code. Comie helps agents understand production systems: databases logs analytics infra traces runtime behavior So agents can reason about how code actually behaves in production.