generated from nhcarrigan/template
139 lines
4.3 KiB
HTML
139 lines
4.3 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<title>AgentCon / MCPCon: AI and Open Source Mentorship</title>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<meta
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name="description"
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content="Boots-on-the-ground findings from a 100-person open source mentorship cohort: how AI helped contributors stay engaged, and how it made skill-gap identification harder."
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<body>
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<main>
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<h1>AgentCon / MCPCon: AI and Open Source Mentorship</h1>
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<div class="talk-meta">
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<span>
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<i class="fas fa-calendar-alt" aria-hidden="true"></i>
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22–23 October 2026
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</span>
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<span>
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<i class="fas fa-map-marker-alt" aria-hidden="true"></i>
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San Jose, CA, USA
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</span>
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<span>
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<i class="fas fa-user-tag" aria-hidden="true"></i>
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Speaker (Pending)
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</span>
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</div>
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<div class="talk-links">
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<a href="https://events.linuxfoundation.org/agntcon-mcpcon-north-america/" target="_blank" rel="noopener noreferrer">
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<i class="fas fa-external-link-alt" aria-hidden="true"></i>
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AgentCon / MCPCon North America
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</a>
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</div>
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<p class="pending-notice">
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<i class="fas fa-clock" aria-hidden="true"></i>
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CFP submitted — pending review. This page will be updated if the talk is accepted.
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</p>
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<hr />
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<section>
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<h2>Overview</h2>
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<p>
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Earlier this year I ran a cohort with over 100 mentees focused entirely on open-source contributions
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and emulating a real-world developer workflow. There were 14 teams, participants sent over 16,000
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messages in the Discord, and 651 contributions were reviewed. Then I ran an exit survey.
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</p>
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<p>
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The results were telling: 71% of participants used AI to augment their work, and 58% wished I had
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provided better guidelines around how to do so. That last metric was the lowest-rated portion of the
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entire experience.
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</p>
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<p>
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This talk shares the boots-on-the-ground findings: what the data show, how AI helped participants
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stay engaged, and how it made it harder to identify skill gaps that led to contributor churn.
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</p>
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</section>
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<section>
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<h2>Key Takeaway</h2>
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<p>
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AI is drastically reshaping the open source ecosystem. It is the core driver of the gap between
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contributors who stay and contributors who churn. As MCP-enabled tooling continues to redefine what
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"AI-augmented workflow" means, mentorship becomes more important than ever — and the lessons from
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this cohort belong to every maintainer.
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</p>
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<p>
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We need to adapt to the ever-changing agentic AI domain. The talk ends with concrete guidance on how
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to do that.
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</p>
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</section>
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<hr />
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<a class="back-link" href="/">
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<i class="fas fa-arrow-left" aria-hidden="true"></i>
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Back to all talks
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