~/talk

Keynote: The Moat Moved from Code to Context

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Claims that AI makes writing code nearly free and that the moat moved from code to context backed by field data: Linux Foundation deploys an MCP server, LFX agents for onboarding, support and a data quality agent, and open-source LFX skills; project onboarding drops from three days to hours; 2.3M+ contributors versus 5,473 maintainers; personal test: 87 pull requests and 20× more lines produced without hand-coding; primary models are commercial today while Sarvam and BharatGen are cited as open-model targets.

AI-written summary · about

  1. 0:00Introduction
  2. 1:27India's open source role
  3. 2:29Why open source is not free and how to support it
  4. 3:33Introducing LFX platform
  5. 4:37AI for open source workflows
  6. 6:42Balancing AI models
  7. 7:24AI's impact on maintainers
  8. 8:35AI-assisted coding example
  9. 9:20Context in AI outputs
  10. 10:02AI's effect on jobs
  11. 11:04From code to judgment
  12. 12:27Domain expertise moat
  13. 13:32Call to action
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