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# Stop Wasting AI Investment on a Broken Change Approval Process

**[The New Stack](https://daily.dev/sources/newstack)** · 8 min read · 1 upvotes · 0 comments

## Summary

Slow, committee-based change approval processes create bottlenecks that waste AI productivity investments. Working in small batches is the fundamental principle for improving software delivery throughput, quality, and compliance. Organizations should streamline change approvals through peer review, automation, and eliminating cross-team committees. When AI generates more code, existing code review bottlenecks worsen unless addressed systematically using constraint management principles: identify the bottleneck, exploit current capacity, subordinate other processes to match its pace, then elevate through smaller batches and automation. Research from DORA and decades of practitioner experience confirm that small batches and lightweight approvals deliver better outcomes than large-batch, committee-driven processes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/stop-wasting-ai-investment-on-a-broken-change-approval-process/>

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---

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

[View this post on daily.dev](https://daily.dev/posts/stop-wasting-ai-investment-on-a-broken-change-approval-process-wzhvx9uml)

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