---
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type: video
title: >-
  Mergeable by default: Building the context engine to save time and tokens —
  Peter Werry, Unblocked
description: >-
  Agents can generate code. The hard part is generating code that's right for
  your system, team conventions, and past decisions. That's a context problem
  that naive RAG, MCP servers, and bigger context windows don't solve. Without
  the right context, that code costs you twice: once in tokens, again in long
  review cycles. This session is a practitioner's guide to building a context
  engine: the reasoning layer that brings together your organizational context
  and delivers only what the agent needs for the task at hand. I'll walk through
  the challenges that matter: reasoning across conflicting sources, maintaining
  permissions, and personalizing results based on who's asking and what they're
  working on. Along the way, we'll go deep on specific components with live
  demos and technical breakdowns. Drawn from real lessons building this in
  production, including what we got wrong. --- Watch along with the corrected
  transcript, summary, timestamps and resources on this talk's official AIE
  page:
  https://ai.engineer/talks/5ID22ACI7IM-mergeable-by-default-building-the-context-engine-to-save-time-and-tokens
  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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updated: '2026-10-24T14:31:42.748Z'
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# Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked

Agents can generate code. The hard part is generating code that's right for your system, team conventions, and past decisions. That's a context problem that naive RAG, MCP servers, and bigger context windows don't solve. Without the right context, that code costs you twice: once in tokens, again in long review cycles. This session is a practitioner's guide to building a context engine: the reasoning layer that brings together your organizational context and delivers only what the agent needs for the task at hand. I'll walk through the challenges that matter: reasoning across conflicting sources, maintaining permissions, and personalizing results based on who's asking and what they're working on. Along the way, we'll go deep on specific components with live demos and technical breakdowns. Drawn from real lessons building this in production, including what we got wrong. --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/5ID22ACI7IM-mergeable-by-default-building-the-context-engine-to-save-time-and-tokens 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/channel/aidotengineer/explore/video/mergeable-by-default-building-the-context-engine-to-8730ed675958 · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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