3cfaa1e1d3
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>
15 lines
555 B
Markdown
15 lines
555 B
Markdown
---
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description: Scaffold a new Lens implementation
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---
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I need to implement a new Lens. Use the `stemedb-lens-architect` agent.
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**Usage:** `/implement-lens "LensName" "Description"`
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**Steps:**
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1. **Design**: Propose the logic for the lens (Ranking vs Filtering).
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2. **Scaffold**: Create the file in `crates/stemedb-core/src/lens/<name>.rs`.
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3. **Trait**: Ensure it implements the `Lens` trait.
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4. **Test**: Generate unit tests for tie-breaking and edge cases.
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5. **Document**: Add entry to `ai-lookup/services/lens.md` with the new lens strategy.
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