Summary

QUA-260 is the umbrella Linear issue for AI development research and assessment topics. It is best understood as a seed queue and prioritization surface, not the long-term home for technical knowledge.

Key points

• It already contains a high-signal backlog of research items and linked artifacts.
• It has useful prioritization discipline (P1/P2/P3).
• It points to corp-strategy-work markdown assessments that are better raw inputs for the wiki than the issue description itself.
• Its main limitation is structure: topic relationships, contradictions, and evolving judgments are implicit.

Implications

QUA-260 should feed this wiki through targeted ingests. It should remain the queue; the wiki should hold the reusable synthesis.

Open questions

• Which remaining QUA-260 items should be promoted after the first seed wave?
• Which topics should become comparison pages versus standalone source pages?

Sources

• Linear issue QUA-260 — AI Dev Practices — Research & Assessment Tracker