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How to avoid disaster when vibe-coding a billing engine — Andrew Garvin, Stripe

Source
youtube.com
Author
AI Engineer
Date

Context

Generating a billing setup quickly still leaves the business rules to verify. The published account of a Stripe billing talk describes an creating a customer, metered usage and a draft invoice with separate credit pools. Billing carries deep business logic and real money, so the speaker recommends letting an agent speed up work in a test environment and stopping there rather than shipping to production unattended. Rules such as credit expiry, automatic recharge and overage are where hand-built setups tend to go wrong. Skills files carrying the API's hard-won , and verbose error messages written so an agent can correct itself, help the agent along. The useful role is accelerating construction of something people can inspect and test before it affects real invoices.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • sandbox — An isolated environment where AI-generated code or agent actions run without being able to touch anything real.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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