Tessl argues AI software factories should judge changes by risk, not line review
Overview
Tessl argues in a company blog post that AI software factories should judge code changes by risk and verified outcomes rather than by reviewing every diff.
The post says reviewers now have to handle defect checks, intent, architecture, security, and release decisions at once, which it presents as the real bottleneck.
Tessl proposes four controls: reducing the likelihood of mistakes, verifying outcomes with evidence, locating risk, and limiting impact. The post is first-party and states the argument without independent testing or outside data.
Written by AI from the articles below · updated Oct 28, 5:55 AM ET
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- Tessl BlogOfficialReview isn't the bottleneck; risk is, Tessl argues
AITessl argues that AI software factories should judge changes by risk and verified outcomes rather than reviewing every diff. It says reviewers now face defect checks, intent, architecture, security, and release decisions at once. It proposes four controls: reducing mistake likelihood, verifying outcomes with evidence, locating risk, and limiting impact.
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