Your AI-built product works. Now make it production-ready.

Book a free discovery call →

The problem with moving fast

Cursor, Bolt, and Lovable are remarkable. But the code they write has never been paged at 2 AM, never lost a customer's data, and never had to survive real scale.

Most founders don't find out how much is quietly wrong until an enterprise sales call surfaces it, or an incident does. ByeByeSlop finds it first.

What vibe code doesn't teach you

Building fast means skipping the parts that only matter at scale. The catch is you don't know which parts those are until they've already cost you something.

Observability

If something goes wrong, can you tell? Most AI-native apps have no structured logging, no error tracking, and no alerting. When a request fails mid-workflow or a customer's data silently disappears, there's nothing to trace. You'll find out through a support ticket, if you're lucky.

Cost exposure

LLM APIs charge by the token. Without rate limits, spend caps, and a caching strategy, a single edge case can spike your bill overnight with no warning. There's a whole class of abuse that targets exactly this, and it doesn't require a sophisticated attacker.

The LLM attack surface

Traditional web security still applies: XSS, CSRF, SQL injection, all of it. But AI-native products carry a new attack class on top of that. Prompt injection lets a malicious user manipulate what your LLM does, sometimes to the point of exfiltrating other users' data or bypassing your business logic entirely. It's the most exploitable surface in every AI product we've reviewed.

Data integrity

Race conditions, missing database transactions, cascade deletes with no guards. At 50 users you'll never see them. At 5,000 they corrupt data, and by the time you notice you don't know which records to trust.

Performance at scale

ORMs make N+1 queries easy to write and nearly invisible to catch. Add missing indexes, no pagination, and full table scans, and you've got an app that feels fast in development and falls over in production. The query that takes 12ms against your local database takes 4 seconds against real data.

Dependency risk

The average vibe-coded app carries 30 to 50 dependencies. Most founders have no idea what's in them. One CVE in a package you didn't know you were running is a breach disclosure. This is rarely audited until it has to be.

What you get

Remediation scope and cost get set during the debrief. You'll know the full number before any work begins.

Book a discovery call →