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    Chamath Shares CloudBees Survey on AI Code Confidence

    Investor highlights gap between pre-ship confidence and post-ship issues in AI code.

    CP
    1 Source, 29d ago, first seen 29d ago

    TLDR

    Chamath Palihapitiya posted that CloudBees surveyed over 200 enterprise technology leaders. The post states 92 percent were confident their AI-generated code was production-ready before shipping. After shipment 81 percent of the same group reported a rise in production issues. Chamath called confidence in AI output a measurable risk factor that a board can address. The linked source describes the 8090 AI-native software development platform, which centers documentation, collaboration, and oversight for quality, control, and consistency.

    Combined views

    74K

    1 Source, first seen 29d ago

    Combined views

    74K

    1 Source, first seen 29d ago

    107 likes
    107 likes
    39 comments
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    9 reposts

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    39 comments
    28 saves
    9 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @chamathCloudBees surveyed 200+ enterprise technology leaders this year. 92% said they were confident their AI-generated code was production-ready before it shipped. Then after it shipped, 81% of those same people reported a rise in production issues. Confidence in AI output is now a measurable risk factor. A board can put the 92% "confidence in AI generated code" against the 81% "production issue rate" and really understand what is going on. Is it a bunch of unregulated tokenmaxxing? Or is there a plan and is it working? The report itself says that the bottleneck has moved from writing code to governing it. We agree. 8090 Software Factory gets ahead of this because our core features incorporate tests, reviews and approvals and leaves a record for anyone to follow. Learn more here: http://bit.ly/3UWcTQE

    1 Source

    @chamathCloudBees surveyed 200+ enterprise technology leaders this year. 92% said they were confident their AI-generated code was production-ready before it shipped. Then after it shipped, 81% of those same people reported a rise in production issues. Confidence in AI output is now a measurable risk factor. A board can put the 92% "confidence in AI generated code" against the 81% "production issue rate" and really understand what is going on. Is it a bunch of unregulated tokenmaxxing? Or is there a plan and is it working? The report itself says that the bottleneck has moved from writing code to governing it. We agree. 8090 Software Factory gets ahead of this because our core features incorporate tests, reviews and approvals and leaves a record for anyone to follow. Learn more here: http://bit.ly/3UWcTQE