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title: 'Context Is the New Code — Patrick Debois, Tessl'
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  As AI coding agents become more capable, context is starting to matter as much
  as code. Yet while code has version control, review, testing, CI/CD, and
  production observability, the prompts, rules, and memory that drive agents are
  still often managed like ad hoc hacks. Patrick argues that context needs its
  own engineering discipline. He introduces the Context Development Lifecycle:
  Generate, Evaluate, Distribute, and Observe, along with the team practices
  that make context a shared, repeatable, and improvable part of software
  delivery. The session also explores the larger context flywheel, where better
  context leads to better agent output, which creates better observations, which
  in turn improves context again. Speaker info: - https://x.com/patrickdebois -
  https://www.linkedin.com/in/patrickdebois/ Timestamps: 0:00 - Introduction to
  the talk 1:14 - Why context is the new code 2:37 - Introducing the Context
  Development Lifecycle 3:50 - Generate: Creating context for agents 6:26 -
  Evaluate: Testing your context 13:59 - Distribute: Sharing and packaging
  context 17:49 - Observe: Monitoring and feedback loops 22:33 - Conclusion and
  the context flywheel 24:49 - Q&A session --- Watch along with the corrected
  transcript, summary, timestamps and resources on this talk's official AIE
  page: https://ai.engineer/talks/bSG9wUYaHWU-context-is-the-new-code Join our
  upcoming AI Engineer conferences (see https://ai.engineer landing page): -
  AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and
  engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
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parent: 'https://liquidgold.cc/channel/aidotengineer.md'
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updated: '2026-10-24T14:17:25.667Z'
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# Context Is the New Code — Patrick Debois, Tessl

As AI coding agents become more capable, context is starting to matter as much as code. Yet while code has version control, review, testing, CI/CD, and production observability, the prompts, rules, and memory that drive agents are still often managed like ad hoc hacks. Patrick argues that context needs its own engineering discipline. He introduces the Context Development Lifecycle: Generate, Evaluate, Distribute, and Observe, along with the team practices that make context a shared, repeatable, and improvable part of software delivery. The session also explores the larger context flywheel, where better context leads to better agent output, which creates better observations, which in turn improves context again. Speaker info: - https://x.com/patrickdebois - https://www.linkedin.com/in/patrickdebois/ Timestamps: 0:00 - Introduction to the talk 1:14 - Why context is the new code 2:37 - Introducing the Context Development Lifecycle 3:50 - Generate: Creating context for agents 6:26 - Evaluate: Testing your context 13:59 - Distribute: Sharing and packaging context 17:49 - Observe: Monitoring and feedback loops 22:33 - Conclusion and the context flywheel 24:49 - Q\&A session --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/bSG9wUYaHWU-context-is-the-new-code Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/watch/bSG9wUYaHWU · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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