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Commit the spec and scaffold the system it describes:
- SPEC.md: the full v0.1 engineering spec
- crates/: trust-layer Rust workspace, unit-tested
- bench-runner: interleaved ABAB scheduling with discarded warm-ups,
deterministic bootstrap CIs over the ratio of medians,
CI-lower-bound accept rule, env fingerprinting, and a CLI with
compare + A/A self-test modes (A/A verified passing end-to-end)
- diff-test: gate outcome model, sha256 corpus pin verifier that
refuses on mismatch, per-target equivalence policy parser
(byte-identical default, explicit fp-tolerance opt-in)
- ledger: append-only SQLite attempt schema with UPDATE/DELETE
refused by triggers, anti-double-attempt query
- report: cores-saved and dollars/yr ROI math over speedup CIs,
pricing.toml inputs
- playbook/: classes 1-7 with preconditions, procedure, verification
notes, and known failure modes per class
- agent/: Python package skeleton — six-tool contract and prompting
spine, harness IPC deferred to Phase 1
- config/: accept.toml (2% threshold, 30 runs/side), pricing.toml
- targets/, corpora/, results/calibration/: layout and policy docs
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
35 lines
1.1 KiB
Markdown
35 lines
1.1 KiB
Markdown
# targets/
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One directory per optimization target. This is the **only**
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agent-writable path in the repository (SPEC §10); everything else is
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trust layer.
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## Layout
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```
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targets/<name>/
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target.toml # upstream repo URL, pinned commit, build & bench commands
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equivalence.toml # optional; absent = byte-identical required (SPEC §3.2)
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workspace/ # agent's checkout — patches land here via harness git-apply
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```
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Selection criteria (SPEC §6): CPU-bound (>70% user time), meaningful
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test suite, scriptable workload, permissive license, active but not
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hyper-optimized, builds cleanly in a container. Good hunting: codecs,
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parsers, serializers, image processing, compression, static-site
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generators, linters.
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## equivalence.toml
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Default (no file) is byte-identical outputs. FP-producing targets may
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declare an explicit tolerance policy:
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```toml
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mode = "fp-tolerance"
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abs = 1e-9 # max absolute difference per numeric value
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rel = 1e-6 # max relative difference per numeric value
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```
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Declaring a tolerance covers output comparison only; FP *flag* changes
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still route to needs-human-review (SPEC §8).
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