AI can write code. But it still breaks APIs. We built a CLI to fix that!

AI can write your code faster than ever. However, when you ask it to integrate Stripe, Slack, or Google, it becomes unreliable. Auth breaks. Requests fail silently. Rate limits surprise you at 2 AM...

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AI can write code. But it still breaks APIs. We built a CLI to fix that!

Source: DEV Community

AI can write your code faster than ever. However, when you ask it to integrate Stripe, Slack, or Google, it becomes unreliable. Auth breaks. Requests fail silently. Rate limits surprise you at 2 AM. Edge cases you never thought of appear in production. This isn't an AI problem. It's an execution problem. The Real Trouble With API Integrations Every developer has been here: you find the endpoint, wire it up, and ship it, then spend the next week firefighting. OAuth tokens expiring mid-session Retries that hammer the API and trigger rate limits Silent failures with no structured error to catch A library upgrade that quietly changes a parameter name Duplicate sends because retries weren't idempotent The standard answer? Write more glue code. Handle it yourself. And now, with AI agents writing our code? The glue code looks more polished, but it still breaks the same ways, just faster. The root issue is that integrations are not just code; they're execution. And execution needs to be treate

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