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Microsoft is using AI to review the flood of AI-coded Edge extensions
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. The takeaway: Thanks to chatbots and AI models, the number of coding newbies trying to build new software tools is exploding. When it comes to browser add-ons, AI-assisted coding can put significant
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Even Microsoft's own software teams are struggling with the avalanche of AI-generated code
Microsoft Edge developers say they're facing higher-than-ever workloads * Microsoft worries developers are submitting a higher volume of extensions due to AI * It's already made some review changes, but the Edge team has had to make further changes * Edge extensions will also be reassessed every
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Microsoft Edge is implementing AI-driven automated reviews to handle the surge in AI-coded Edge extensions flooding its platform. The company is streamlining its review pipeline with automated systems while maintaining quality standards, as developers using AI-assisted coding submit extensions faster than ever before.
Microsoft Edge is confronting a massive influx of browser extensions created through AI-assisted coding, forcing the company to fundamentally restructure its review policies
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. The Edge team has acknowledged that vibe coding—the practice of using AI chatbots and models to rapidly build software—has contributed to a sharp rise in extension submissions, creating additional strain on the review pipeline that has left review times suboptimal2
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Source: TechRadar
The surge stems from AI-generated code making it easier than ever for coding newbies to build working browser extensions. Developers can now significantly reduce the time needed to iterate on and build extension projects, leading to higher-than-ever workloads for Microsoft's own software teams
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. This Cambrian explosion in add-on development represents both an opportunity and a challenge for Microsoft, which holds just 11% of desktop browser market share compared to Chrome's dominant 71%2
.To address the mounting pressure, Microsoft has streamlined how AI-generated extension submissions move through its review pipeline by deploying automated systems to identify known policy violations and security issues in submitted code builds
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. The company emphasizes that these changes do not reduce the number of checks or lower quality standards2
.Source: TechSpot
Microsoft is using AI-based functionality to automate many repeatable validation checks that form part of the add-on review procedure
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. Human reviewers will now handle more complex cases that require intelligent oversight, while automated systems quickly flag well-known violations. This hybrid approach aims to help third-party developers move their updated builds faster through the review pipeline while maintaining the Edge ecosystem's integrity1
.Microsoft is also transforming how the Edge add-on store promotes high-quality extensions to users. The Featured badge, designed to signal trusted code with commitment to quality, reliability, and security, will now be refreshed every 15 days instead of on a longer cycle
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. The increasingly automated system re-checks extensions across more than 60 quality signals2
.With this more frequent cadence, high-quality extensions can earn recognition sooner, and developers receive faster feedback on their investments in quality
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. Microsoft's goal is to make it easier for users to find extensions they can trust while ensuring developers who invest in quality are recognized more quickly1
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The changes come as browser extensions face growing abuse by cybercriminals targeting sensitive data and cryptocurrency stashes on both Chrome and Chromium-based browsers like Edge
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. Microsoft's Featured badge has already proven ineffective against malicious add-ons in some cases1
, raising questions about whether the new automated systems can adequately identify sophisticated threats hidden within AI-generated code.Microsoft maintains that its objective is to make Edge the easiest place to build, publish, and grow an extension
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. The company views AI-assisted coding as a welcome improvement overall, believing the new approach will benefit both extension makers and Microsoft by creating a more efficient ecosystem. However, the effectiveness of these automated review policies in catching security issues while handling the flood of AI-coded Edge extensions remains to be tested at scale.Summarized by
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