A practical guide to building MVPs using Claude Code and AI coding agents. Covers a three-step process: writing a minimal feature spec, using Claude Code to generate an initial implementation, and iterating based on user feedback. Also highlights common pitfalls like scope creep and insufficient customer feedback, explaining why the true cost of a feature includes complexity and maintenance overhead, not just initial build time.

7m read timeFrom towardsdatascience.com
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Table of contents
Why build an MVPHow to build an MVPMistakes to avoid when building an MVPConclusion

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