Taking early customers

Like having a developer sitting next to your support team

An AI agent that already knows your codebase and can query your production database — so your support team gets to the answer on its own, and engineering stays on the roadmap.

codepanion

Investigation

You 10:24 AM

Customer reports 500 error on /api/invoices when filtering by date range before 2020.

Searched code for “invoice date filtering”
  • 3 matched files
Agent 10:24 AM

Found the bug in src/InvoiceService.cs:142. The date parser assumes en-US format, so for dates before 2020 the two-digit year parsing lands in the wrong century.

I queried your production replica: 23 invoices are affected. Want me to draft an engineering ticket?

Ask about your codebase...

C:\> how it works

Three steps to production-grade support

01

Ship

Your CI pushes a snapshot of your repo to Codepanion's ingest API. One line in your pipeline, any CI system.

$ curl -X POST api.codepanion.app/api/ingest/$TENANT_ID \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/gzip" \
  -H "X-Commit-Sha: $GIT_SHA" \
  --data-binary @repo.tar.gz
02

Index

We diff against the previous SHA, embed only what changed. Your codebase is vectorized and ready in seconds, not hours.

index diffing a1b2c3d..e4f5g6h
embed 14 files changed, 847 chunks
ready index updated in 3.2s
03

Investigate

Support asks questions in plain English. The agent searches code and queries your database to find answers with citations.

Customer 1204 isn't getting order confirmation emails.
NotificationService.cs:203 only sends to addresses where email_verified=true. That row has email_verified=false since signup. They never clicked the confirmation link.

C:\> capabilities

Built for support teams, secured for production

Code Search

Vector search across your entire codebase. Ask questions in plain English, get answers with file paths and line numbers. Every result is a citation your team can verify.

Database Query

Read-only SQL against your production replica. The agent writes queries, you see exactly what it ran. Every query is logged with a full audit trail.

Tenant Isolation

Isolation starts at the schema level. Every table carries a tenant ID, every query is scoped before it runs, and every embedding lives in its own partition. Your data stays yours because the database enforces it.

Full Audit Log

Every query the agent runs is logged and visible to you. See exactly what was searched, what SQL was executed, and what answers were given. Full transparency.

C:\> security

We take less access than your ORM

Codepanion is designed around the principle of least privilege. We never write to your systems.

Read-only access

We connect to a read replica. No write permissions, no mutations, no risk of accidental data changes.

Tenant isolation

Data isolation is enforced at the schema level. Your data never leaks across tenant boundaries.

Full audit trail

Every agent action is logged. Review queries, search terms, and responses at any time.

Support that gets further on its own

We're taking early customers now. If your support team could go further before a ticket reaches engineering, let's talk.