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title: Self-reinforcing quality / adopting verification pattern
description: Imprint Engineering describes its verification loop for software development, built after an earlier small-change pattern. Each pull request must generate a...
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# Self-reinforcing quality / adopting verification pattern

**[Irrational Exuberance](https://daily.dev/sources/lethain)** · 5 min read · 0 upvotes · 0 comments

## Summary

Imprint Engineering describes its verification loop for software development, built after an earlier small-change pattern. Each pull request must generate a verifications/{pr_num}.md file documenting what the harness checked and what it could not verify, and PRs can't move from draft to ready without that file. An ai-code-review tool reviews every PR, low quality feedback gets dismissed with a /dismiss {reason} comment, and a daily maintenance step updates feature maps and generates a pull request for review. The team also uses a separate feedback tool pattern to catch meta-issues like crashed CI runners. Each major code area wakes up with 4 to 6 pull requests to review from this process, improving the codebase while the team sleeps.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://lethain.com/adopting-verification-pattern>

## Questions this post answers

### What is the verification pattern for AI coding agents in software development?

It's a workflow where each pull request must generate a verifications/{pr_num}.md file documenting every step the AI coding agent took to verify its changes, including what it couldn't verify. Pull requests cannot move from draft to ready status until this file exists, similar to a chain-of-thought approach that forces the harness to explicitly document verification steps rather than assume they happened.

_daily.dev surfaces emerging workflow patterns like this for teams building AI-assisted development processes._

### How many pull requests does an AI-driven verification and maintenance loop generate per day?

Each major code area, such as frontend, backend, data, and native, reportedly wakes up with 4 to 6 pull requests to review as output of a daily maintenance process. This process pulls in verification file reviews, feature map updates, and reviews of which ai-code-review feedback was incorporated or rejected, generating issues and PRs automatically overnight.

_track real-world throughput numbers like this on daily.dev before committing your team to a similar setup._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#cicd](https://daily.dev/tags/cicd), [#leadership](https://daily.dev/tags/leadership), [#code-review](https://daily.dev/tags/code-review)

[View this post on daily.dev](https://daily.dev/posts/self-reinforcing-quality-adopting-verification-pattern-jircp86ki)

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