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title: Don't waste time on specs: /prototype instead | daily.dev
description: Spec-driven development with AI is overrated — prototyping is a faster, higher-fidelity path to good software. Rather than spending time writing exhaustive...
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# Don't waste time on specs: /prototype instead

**[Matt Pocock](https://daily.dev/sources/mattpocock)** · 10 min read · 46 upvotes · 7 comments

## Summary

Spec-driven development with AI is overrated — prototyping is a faster, higher-fidelity path to good software. Rather than spending time writing exhaustive specs before generating code, developers should use throwaway prototypes to answer design and logic questions concretely. A prototype skill is demonstrated using a TLDraw-based diagramming app, where multiple UI variants for a search feature are generated and iterated on in real time. The approach applies to both UI and backend logic (e.g., terminal apps that stress-test state machines). The key insight: the gap between a spec and production code is large, but the gap between a working prototype and production code is small.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=n0VhIVtviC0>

## Questions this post answers

### Why do detailed upfront specs often fail when working with AI coding agents?

Detailed specs fail because discussions about how something should look or behave happen at too low a fidelity to resolve real design questions. The gap between a spec and production-ready code is large, whereas building a working prototype first makes the jump to production much smaller since design decisions get road-tested in semi-working code rather than described in text.

_Developers weighing spec-first versus prototype-first AI workflows can compare approaches on daily.dev._

### How can I use a low-cost prototype to resolve UI design questions with an AI coding agent?

Generate multiple throwaway prototype variants of a feature, such as several versions of a search bar UI, then react to and give feedback on each one to converge on a final design. One example took about 100,000 tokens to produce three variants, after which feedback was compacted and merged into a further iteration before handing the resulting code to an implementer to finalize.

_Anyone iterating on AI-assisted UI design can track prototyping workflows like this via daily.dev._

### Can AI-generated prototypes be used for backend or logic-heavy problems, not just UI?

Yes, prototypes work well for backend and state-machine logic, not only front-end UI. One approach is building a tiny interactive terminal app that pushes a state machine through edge cases that are hard to reason about on paper, turning an abstract logic question into a concrete, testable artifact before implementation.

_Backend developers exploring AI-assisted state modeling can follow related workflow ideas on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@augustus\_benny** · 5 upvotes

> Wasn't Matt preaching to write Product Requirement Documents?

**@oaklegsober** · 5 upvotes

> I'm tired of these AI Tech bros making every month the last month's "trend" to be considered deprecated

**@rahulkumar23** · 0 upvotes

> Makes sense!

**@jntnlima** · 0 upvotes

> This guy is a genius!

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- [The AI-Ready Redesign: How Spec-Driven Development Is Changing the Way Teams Build](https://daily.dev/posts/the-ai-ready-redesign-how-spec-driven-development-is-changing-the-way-teams-build-wqgzt63ey) · RUBYLAND · 0 upvotes · 0 comments

---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#agile](https://daily.dev/tags/agile), [#vibe-coding](https://daily.dev/tags/vibe-coding)

[View this post on daily.dev](https://daily.dev/posts/don-t-waste-time-on-specs-prototype-instead-ib3xrxw5h)

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