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Microsoft Edge Team Overwhelmed by AI-Generated Extension Surge, Adds Automation

Microsoft’s Edge team has admitted that the rapid adoption of AI‑assisted coding is flooding the browser’s add‑on marketplace, creating a backlog that slows the review process. The team noted that while developers can now build and iterate extensions faster, the volume of submissions has outpaced the existing vetting pipeline, leading to longer turnaround times.

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Key points

  • AI‑generated code is flooding Edge’s extension marketplace, slowing review times.
  • Edge introduced automated validation checks to keep standards while speeding approvals.
  • The team will refresh the “Featured” badge every 15 days to highlight high‑quality extensions.

To address the strain, Edge has rolled out automation for repeatable validation checks—though it has not confirmed whether the automation itself uses AI. The new system is designed to flag known policy violations and security issues automatically, freeing human reviewers to focus on complex cases. Microsoft also announced it will refresh the “Featured” badge for extensions that meet best‑practice standards every 15 days, aiming to give high‑quality developers quicker recognition and users a more up‑to‑date view of vetted add‑ons.

This development follows a similar admission from the Exchange team, which struggled to deliver a cumulative update amid a surge of AI‑generated bugs. The pattern underscores how Microsoft’s expanding use of AI is reshaping internal workflows and highlighting the need for scalable, automated quality assurance in large tech ecosystems.

Full story from The Register AI/ML · by Simon Sharwood Open source ↗

Another Microsoft team admits it’s struggling to handle flood of AI-generated code

The Register AI/ML · 9 September 2026

software

Another Microsoft team admits it’s struggling to handle flood of AI-generated code

Increase in vibe-coded browser extensions sees Edge team automate quality assessments

A few weeks back we spotted Microsoft’s Exchange team admitting that AI has found so many bugs it hasn’t found time to deliver a Cumulative Update for the messaging server. And on Tuesday, the Microsoft Edge team revealed it’s also a bit overwhelmed by AI.

“Rapid adoption of AI-assisted coding is enabling developers to build extensions faster than ever,” according to a post by the Edge team. AI has also seen “More developers … building, iterating, and submitting extensions.”

As Microsoft vets extensions for its browser before allowing users to install them, that means Redmond has more work to do – but fewer people to do it with thanks to regular rounds of redundancies.

Microsoft initially tried to address that by introducing what it calls “an expedited review process for high-quality and high-value extensions.”

That process is now groaning under the weight of newly submitted extensions.

“Since then, submission volumes have continued to increase, and our review pipeline has experienced additional strain, causing an increase in extension review turnaround time,” the Edge team admits in its post.

What to do about this problem caused by AI? Use more automation, of course!

“To address this challenge, we’ve introduced automation for many of the repeatable validation checks that are part of the review process and streamlined how reviews move through our pipeline,” the Edge team explains, without revealing if that automation uses AI.

“This doesn’t change our review standards or reduce the checks an extension must pass,” the team insists. “Instead, it helps us identify known policy violations and security issues more consistently while allowing reviewers to spend more time on complex cases that benefit from human judgment.”

That quote makes this the second story in a row on The Register in which the “automation frees people to tackle hard problems” argument has become a response to AI (here’s the last one.)

“The result is a more efficient review process that helps extensions move through the pipeline faster while maintaining the high quality and security standards developers and users expect from the Edge Add-ons site,” we’re told.

The Edge team says its increased use of automation means it will be able to approve and update extensions more quickly. The team also says its changed practices mean it will be able to refresh the “Featured” badge it applies to Edge add-ons “that align with Best practices for extensions” every 15 days.

“With this more frequent cadence, high-quality extensions can earn recognition sooner, and developers receive faster feedback on their investments in quality. At the same time, users benefit from a more up-to-date view of the extensions that meet our quality standards,” the post states. ®

This text was published by The Register AI/ML and written by Simon Sharwood. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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