Slides: Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
Source Video
Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
Related Scheduled Sessions
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Extracted Slides
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Remember how you built context?
* Day lat yourjob you had almost nocontext.
* Overtime, you accumulated it:
* Mentorship
* Planning & code reviews
* Architecture decisions
* Incidents & outages
* Experiments & rollouts
* Pushing alot of PRs
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The problem:
access ¢ understanding
* Weconnect agents to code, logs. docs, tickets, and more...
* Which gives us plausible output that often compiles...
+ Butit fails human review and real world expectations.
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Where Al forward teams use a context engine
* Agent Plans & code — hydrate context before planning to improve codegen quality.
* Ticket enrichment — gathering context across systems to improve tickets.
* Triage operations — routing issues, enriching tickets, and validating bug reports.
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Overview
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Files to Modify
1.Add Org Setting
File:projects/aodeis/sre/main/katLin/com/nextchagtersoftware/@/nodels/0rgiettingsModel.kt
Adsafter line 57（withother codereview settings):
valenableCodeReviemlutoDescription-bool（codeRevienAutoDesc).nullable()
Also update:
-OrgSettingsDAO.asDetaModel()
Crglettings data class
orgSettings.getDefault()
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Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.