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How to Build an MVP in the AI Coding Era

2026-05-18 · 16:58 UTC ·Dalton + Michael ·1 min read

Brief

Dalton + Michael (presentation, 2026-05-18) update classic MVP advice for the AI coding era: because Claude Code and Codex lower implementation cost, founders must intentionally limit scope, cut unnecessary features, and use ongoing user conversations to guide minimal, usable product decisions. The talk points to StandardDB's MVP as a concrete reference.

Why it matters

Dalton Caldwell and Michael Seibel (Dalton + Michael, published 2026-05-18) warn that AI coding tools such as Claude Code and Codex make it easy to add many features quickly, increasing the risk of creating a bloated MVP unless founders deliberately constrain scope.

Key details

  • Authors emphasize prioritizing what not to build and keeping continuous user conversations — “don't stop talking to users” — and reference the StandardDB MVP (signup: https://www.standarddb.com/) as a practical example/resource.
Cleaned source text

Dalton + Michael revisit the classic startup advice around building an MVP and update it for the AI coding era.

When building features with Claude Code or Codex is easy, its easy to make something with a ton of features that is bloated and not what people want. A good MVP is just as much about what *not* to build as it is what to build. Remember: don't stop talking to users no matter how tempting it might be.

Sign up for the StandardDB MVP that Dalton references here: https://www.standarddb.com/

Dalton Caldwell on X: https://x.com/daltonc

Michael Seibel on X: https://x.com/mwseibel

Channel: Dalton + Michael

Published: 2026-05-18

Video URL: https://www.youtube.com/watch?v=rQtrzBcf_Us