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Abbey Next Deterministic Recommendation Engine

Designed and validated the first deterministic project-aware recommendation engine for Abbey Root and identified the next architectural direction.

Tags: Abbey Root • Developer Toolkit • Recommendation Engine • Workflow

Abbey Next Deterministic Recommendation Engine

Summary

Implemented the first working version of abbey next, establishing a deterministic recommendation engine that combines project planning documents with current repository state to recommend the next focused engineering session.

The implementation introduced a dedicated recommendation engine, comprehensive regression testing, and an explainable recommendation workflow while revealing that unreconciled session updates should become the next major information source.

Accomplishments

Lessons Learned

The project demonstrated that recommendation quality depends more on modeling project state than on increasingly sophisticated text matching. Current work, planning documents, and session history each provide different kinds of evidence that should be combined intentionally rather than inferred through keyword overlap.

Another important discovery was the distinction between authority and freshness. Planning documents represent the authoritative project direction, while unreconciled session updates contain the newest information until planning is reconciled. Future versions of abbey next should treat unreconciled session updates as a freshness layer rather than relying exclusively on planning documents.

Next Steps