Език: English
Every developer can now generate thousands of lines of code, open dozens of pull requests, or build an application over a weekend. Yet maintainers are overwhelmed, engineering teams are drowning in AI-generated noise, and review queues keep getting longer. The bottleneck is no longer writing code but deciding what deserves to be trusted. As AI makes code abundant, reputation becomes the scarcest resource in software development.
This session explores why the most valuable developers in the AI era won't be the ones who generate the most code, but the ones who consistently produce high-signal contributions. Through real examples from open source and engineering teams, we'll examine how AI changes contributor behavior, why maintainers are pushing back against low-quality AI-generated work, and what developers can do to stand out in a world where everyone has access to the same models.
Attendees will learn:
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Why AI has shifted software engineering from a code problem to a trust problem.
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How maintainers evaluate AI-assisted contributions beyond whether they "work."
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Practical techniques for producing high-signal pull requests that earn credibility.
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Common AI-assisted mistakes that damage reputation before you realize it.
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A framework for using AI as a force multiplier without outsourcing engineering judgment.