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Public story · 2026-03-08 · source-backed
Research paper validates a three-tier architecture for AI coding context: hot-memory constitution (conventions + retrieval hooks), specialized domain-expert agents, and cold-memory on-demand specs. Projects with AGENTS.md showed 29% reduction in median runtime and 17% in output tokens across 283 sessions in a 108K-line C# codebase. arXiv
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Shared entity: Codified Context / Same source / Shared topic / Earlier coverage
Both cover Codified Context; cite the same source (arXiv); overlapping topics (agent, codebase, codified, coding, cold-memory).
Both cover Codified Context; cite the same source (arXiv); overlapping topics (agent, codebase, codified, coding, context).
Shared entity: Research / Same source domain / Shared topic / What happened next
Both cover Research; reported by the same outlet (arxiv.org); overlapping topics (agent, context).
Shared entity: Codified Context / Same source / Earlier coverage
Both cover Codified Context; cite the same source (arXiv); earlier Codified Context coverage from 2026-03-03.
Shared entity: Projects / Shared topic / What happened next / Tension
Both cover Projects; overlapping topics (agent, coding); picks up the Projects thread on 2026-03-27.
Same source domain / Shared topic / Tension
Reported by the same outlet (arxiv.org); overlapping topics (agent, coding, context); pushes against this story (but).
Reported by the same outlet (arxiv.org); overlapping topics (agent, architecture, coding); pushes against this story (but).
Shared entity: Research / Shared topic / What happened next
Both cover Research; overlapping topics (agent, context); picks up the Research thread on 2026-07-27.