01
Should you rewrite your vibe-coded app before launch?
Decide which prototype code to keep, isolate, replace before launch, or rewrite later using consequence, invariants, tests, and customer evidence.
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Vibe coding changes the cost of producing software. It does not change the cost of a bad consequence.
This collection is for founders who can now build a working interface before they could once have written a specification. The opportunity is real: ideas can meet users sooner, narrow tools become affordable, and one person can test more product shapes.
The new risk is borrowed confidence. Generated code contains the expected files, helpers, and security vocabulary. That does not prove ownership checks, webhook idempotency, recovery, or private-data boundaries. These guides show how to review the paths that charge, expose, erase, or impersonate without pretending every founder must become a senior engineer first.
Start by drawing a line between harmless roughness and dangerous failure. Then write the invariants the product must preserve and trace one important action from browser to storage and back. Test with two users, duplicate requests, provider failures, and expired credentials.
AI can draft and challenge. A person still owns the promise made to the user.
Guides in this field
7 practical articles01
Decide which prototype code to keep, isolate, replace before launch, or rewrite later using consequence, invariants, tests, and customer evidence.
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Contain unexpected AI and cloud spend, trace cost per completed job, stop duplicate work and agent loops, and enforce useful production limits.
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Test whether two valid users, team roles, files, exports, jobs, and support tools remain inside their intended permission boundaries.
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A practical debugging order for production-only failures across configuration, domains, cookies, databases, runtimes, integrations, and logs.
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A practical boundary between harmless rough edges and the identity, payment, data, and recovery failures that must be fixed before launch.
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Concrete production checks for authentication, authorization, payments, private data, email, recovery, and operations.
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A consequence-first code review method built around invariants, end-to-end traces, hostile cases, and human ownership.
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