---
title: "What is the most common technique in this study?"
description: "Validation loops, 29 of 148 techniques across 19 systems."
url: "https://state-of-ai-in-design-systems.netlify.app/questions/validation-loops.md"
canonical: "https://state-of-ai-in-design-systems.netlify.app/questions/validation-loops.md"
type: "question"
id: "validation-loops"
data_collected: "2026-07-26/27"
generated: "2026-07-28T06:01:02Z"
report: "State of AI in Design Systems — July 2026"
author: "Kaelig Deloumeau-Prigent"
license: "CC-BY-4.0"
citation: "Deloumeau-Prigent, K. (2026). State of AI in Design Systems. https://state-of-ai-in-design-systems.netlify.app/questions/validation-loops.md"
---

> Snapshot of 2026-07-27. Every claim below links to the source URL it was taken from. Check the source before citing.

# What is the most common technique in this study?

Validation loops, with 29 of the 148 techniques
across 19 of the 19 systems — more than any other category.

A validation loop is a check the agent is told to run: a lint rule, a type error, an audit script, a
CI gate. It turns a guideline into a failure the model has to fix, which is the only category here
that keeps working after the model stops reading the instructions. The next three categories are
prohibition (25), curated context
(21) and tool-gating (20).
Full text at https://state-of-ai-in-design-systems.netlify.app/techniques/validation-loop.md, all categories at https://state-of-ai-in-design-systems.netlify.app/techniques.md.


Other questions this report answers, and the index of every file: https://state-of-ai-in-design-systems.netlify.app/llms.txt

---

Generated 2026-07-28T06:01:02Z from the State of AI in Design Systems — July 2026 dataset. Index of every machine-readable file: https://state-of-ai-in-design-systems.netlify.app/llms.txt. JSON, SQLite and the MCP endpoint: https://state-of-ai-in-design-systems.netlify.app/ai.md. Kaelig Deloumeau-Prigent, CC BY 4.0.