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Research questionHow can coding agents maintain accurate repository context as codebases evolve without repeated discovery?Coding agents repeatedly search, navigate, and retain repository information, while code edits can invalidate indexes and prior context. Disconnected tools and task-local histories make it costly to keep retrieved locations and context aligned with the current commit.
AI Agents
AI Memory
Code Generation & Program Synthesis
Information Retrieval
Latest papersRecent research connected to this question, newest first.CodeNib: A Multi-View Data System for Serving Repository Context to Coding AgentsThe source describes a runtime that builds lexical, dense, and structural views per repository commit, maps results to repository-relative source ranges, maintains selected views across edits, and serves ranked search, symbol navigation, and bounded context. Its evidence covers 100 snapshots, comparisons with independent rebuilds and live navigation, and context-token use across five models; validity is reported separately by operation.research paper · Jul 28, 2026
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