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Phase 1 delivers the complete durability and storage layer:
- WAL with crash recovery: Append-only journal with BLAKE3 checksums,
fsync guarantees, and proper seek-to-EOF on reopen
- Storage engine: sled-backed KVStore with scan_prefix for range queries
- Content-addressed storage: H:{hash}, V:{hash}, E:{hash} key patterns
- Ingestor: Background worker tailing WAL, writing to KV with 8-byte
aligned record headers for rkyv zero-copy deserialization
- Comprehensive tests: 31 tests covering crash recovery, round-trips,
and multi-cycle durability
New crates: stemedb-wal, stemedb-storage, stemedb-ingest
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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| description |
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| Scaffold a new Lens implementation |
I need to implement a new Lens. Use the stemedb-lens-architect agent.
Usage: /implement-lens "LensName" "Description"
Steps:
- Design: Propose the logic for the lens (Ranking vs Filtering).
- Scaffold: Create the file in
crates/stemedb-core/src/lens/<name>.rs. - Trait: Ensure it implements the
Lenstrait. - Test: Generate unit tests for tie-breaking and edge cases.
- Document: Add entry to
ai-lookup/services/lens.mdwith the new lens strategy.