Vibe Code Loss Calculator (2026)

Estimate how much money your project may have already lost due to “fast” AI-driven development.
Built from real startup postmortems — not theory.

Estimate Your Hidden Cost

This calculator estimates *money already lost* — not future spend — from rewrites, delays, and lack of technical ownership.


Rewrite Probability Calculator

Estimate how likely your current trajectory is to require a major rewrite.

What Is the Vibe Code Loss Calculator?

This tool exists because many startups don’t fail due to lack of effort — they fail due to *invisible technical debt* accumulated early.

AI-first development can feel productive, but without architectural ownership, teams often discover the real cost later: rewrites, stalled pilots, missed launches, and lost credibility.

Why “Fast” Code Becomes Expensive

By the time a senior engineer is brought in, the cost is already sunk. This calculator models that reality.

Who This Is For

How to Use This Number

Treat this estimate as a signal — not a verdict. If the number surprises you, it usually means the architecture hasn’t been explicitly owned yet.

The fastest teams are not the ones who write code the quickest — they’re the ones who avoid rewriting it.

Book a technical reality check

Why “Just One More Rewrite” Is a Lie

Rewrites often feel like corrective measures, a chance to fix what went wrong. But more often than not, they repeat the same failures around ownership and accountability that caused the problem in the first place.

Founders frequently blame the tools or frameworks for architectural shortcomings, when the real issue lies in unclear decision rights and lack of technical leadership. Without clear ownership, the same patterns emerge again and again.

Each rewrite resets velocity back to zero, erasing hard-won progress and momentum. What feels like a fresh start is often just revisiting the same challenges under a different name.

Senior engineers recognize this pattern early and push for clarity in ownership and scope before investing time in rewrites. Ignoring these signals usually leads to repeated cycles of frustration and lost time.

Understanding this cycle is the first step toward breaking it — and building software that lasts.

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