honeycrisp/CLAUDE.md

Claude Code Instructions

auditor mindset

the project is supervised by an engineer with 30 years of experience. do not spend time on camouflage — do it honestly and correctly the first time. one time correctly is cheaper than five times beautifully.

honesty

never fake results. if a system produces nothing — show nothing. a dash is more honest than a copied number. never substitute appearance of progress for actual progress. never generate placeholder data to fill a gap.

literal interpretation

when the user says something, they mean it literally. do not reinterpret. if unsure, ask once. do not guess and iterate.

known failure mode: the user says "show real numbers" and the agent reformats display labels instead of showing actual data. this is the masquerading instinct — optimizing for "looks correct" instead of "is correct."

chain of verification

for non-trivial decisions affecting correctness:

  1. initial answer
  2. 3-5 verification questions that would expose errors
  3. answer each independently
  4. revised answer incorporating corrections

skip for trivial tasks.

build & verify

cargo fmt --all                           # format
cargo clippy --workspace -- -W warnings   # lint
cargo build --release --workspace         # build all
cargo test --workspace                    # all tests

every commit: format clean, clippy clean, builds, tests pass.

project: honeycrisp

cargo workspace containing the hardware driver layer for Apple Silicon. four crates, each a driver for one compute unit:

unimem       memory: IOSurface, Block, Tape, Grid, zero-copy sharing
acpu         CPU/AMX: NEON vector, AMX matrix, numeric, sync, PMU
aruminium    GPU: Metal shaders, pipelines, buffers, compute dispatch
rane         ANE: MIL compile, neural engine load/run

role in the stack

honeycrisp crates are hardware drivers. they expose raw capabilities. they do NOT allocate shared memory across devices, build model graphs, or schedule ops.

honeycrisp/
  unimem       memory: IOSurface, arena, pool
  acpu         driver: CPU/AMX compute (NEON, AMX inline asm)
  aruminium    driver: Metal GPU compute (shaders, pipelines)
  rane         driver: ANE hardware (MIL compile, dispatch)
    ↑ drivers — raw hardware access, no model knowledge
──────────────────────────────────────────────────────
    ↓ runtimes — model graphs, scheduling, inference logic
  cyb/llm      runtime: graph IR, jets, scheduling, model loading

all inference logic (attention blocks, transformer layers, model loading, op scheduling, graph optimization) belongs in the runtime layer (https://github.com/cyberia-to/cyb), not in the drivers.

drivers expose raw capabilities. runtimes compose them.

dependency graph

unimem          (base — no internal deps, IOSurface FFI only)
  ↑
acpu            (depends on unimem)
  ↑
rane            (depends on unimem + acpu)
aruminium       (depends on unimem + acpu)

nebu (https://github.com/cyberia-to/nebu) is a separate crate that optionally depends on acpu for optimized field arithmetic.

crate details

unimem — memory driver

  • IOSurface-backed pinned shared buffers
  • Tape allocator (~1ns take), Grid with Cells
  • zero-copy sharing between CPU, GPU, AMX, ANE
  • raw FFI to IOSurface.framework and CoreFoundation

acpu — CPU compute driver

  • AMX matrix coprocessor (.word encoded inline asm)
  • NEON vector engine (core::arch::aarch64)
  • numeric extensions: FP16, BF16, DotProd, I8MM, FCMA
  • sync primitives: LSE atomics, core affinity, memory barriers
  • PMU performance counters (dlopen libkperf)
  • zero external dependencies

aruminium — GPU compute driver

  • Metal.framework shaders, pipelines, buffers
  • compute and render dispatch
  • FFI through libobjc + Metal.framework link

rane — ANE driver

  • MIL program builder → ANE bytecode
  • compile/load/run/unload via objc_msgSend
  • IOSurface for zero-copy CPU↔ANE data

source of truth

each crate's specs/ is canonical. if specs/ and code disagree, resolve in specs/ first, then propagate to code.

key gotchas

  • AMX instructions are undocumented. encoded via .word in inline asm.
  • AMX context is per-thread. each thread needs its own AmxCtx.
  • NEON registers v8–v15 are callee-saved. inline asm must respect this.
  • IOSurface locked once at creation, unlocked at drop.
  • Metal.framework is public — linked at compile time, not dlopen.
  • ANE access requires Apple Silicon Mac.
  • all public functions in acpu operate on caller-owned slices.
  • target: aarch64-apple-darwin only. not cross-platform.

do not touch

without explicit discussion:

  • Cargo.toml dependency versions
  • FFI signatures (must match system frameworks)
  • specs/ structure
  • LICENSE
  • AMX .word encodings (must match corsix/amx documentation)

quality

file size limit: 500 lines per source file. split into submodules if exceeded.

every commit:

  • type check / lint — zero warnings
  • builds clean
  • tests pass

coding conventions

  • no external dependencies in core crates (except crossbeam-queue in unimem).
  • inline asm for AMX (.word encoding), core::arch::aarch64 for NEON.
  • FFI through libobjc + dlopen (rane, unimem) or Metal.framework link (aruminium).
  • cargo fmt enforced (max_width = 100). clippy clean.
  • unsafe code confined to asm.rs, ffi.rs, and ops.rs.

git workflow

  • atomic commits — one logical change per commit
  • conventional prefixes: feat:, fix:, refactor:, docs:, test:, chore:
  • commit by default after completing a change

shell: nushell

use nu -c '...' or nu script.nu for scripting. reserve bash for git commands and system tools only.

writing style

state what something is directly. never define by negation.

license

cyber license: don't trust. don't fear. don't beg.

Synonyms

Claude
trident/CLAUDE
Trident A building block for a cyberstate with superintelligence. Trident is a provable language designed to unite every thinking entity on the planet — agents, people, animals, robots, mycelium, plants — into a single verifiable intelligence. Every line of code here is a step toward that…
lens/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents to have complete development context: cyber/engineering — pipeline contracts, dual-stream optimization, verification dimensions…
zheng/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents to have complete development context: cyber/engineering — pipeline contracts, dual-stream optimization, verification dimensions…
github/CLAUDE
Workspace Agent Instructions This repo is the cyberia-to workspace anchor. It orchestrates org-level concerns that do not belong inside any single content repo. Dependency direction One-way, always: `.github` knows every subgraph. No subgraph knows about `.github`. Never reintroduce org-awareness…
hemera/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents to have complete development context: cyber/engineering — pipeline contracts, dual-stream optimization, verification dimensions…
cyb/CLAUDE
CLAUDE.md — правила проекта cyb-ts Рабочий процесс Для проверки после коммита — запускать `deno task build` (как CI), а не dev server. Dev server (`deno task start`) запускать только по явному запросу пользователя. Проверка после изменений После каждого изменения кода — **обязательно пересобирать и…
nox/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents to have complete development context: cyber/engineering — pipeline contracts, dual-stream optimization, verification dimensions…
rs/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents below to have complete development context. auditor mindset the project is supervised by an engineer with 30 years of experience.…
bbg/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents to have complete development context: cyber/engineering — pipeline contracts, dual-stream optimization, verification dimensions…
honeycrisp/acpu/CLAUDE
Claude Code Instructions auditor mindset the project is supervised by an engineer with 30 years of experience. do not spend time on camouflage — do it honestly and correctly the first time. one time correctly is cheaper than five times beautifully. honesty never fake results. if a system produces…
strata/genies/CLAUDE
agent collaboration genies — isogeny group action arithmetic for post-quantum privacy. project structure wgsl/ provides batch F_q GPU operations. 512-bit multi-limb arithmetic has carry dependencies that limit single-element throughput, but batch dispatch (many independent mul/add pairs) amortizes…
honeycrisp/aruminium/CLAUDE
Claude Code Instructions auditor mindset the project is supervised by an engineer with 30 years of experience. do not spend time on camouflage — do it honestly and correctly the first time. one time correctly is cheaper than five times beautifully. honesty never fake results. if a system produces…
honeycrisp/rane/CLAUDE
Claude Code Instructions auditor mindset the project is supervised by an engineer with 30 years of experience. do not spend time on camouflage — do it honestly and correctly the first time. one time correctly is cheaper than five times beautifully. honesty never fake results. if a system produces…
cyb/cyb-boot/CLAUDE
cyb-boot — project rules What cyb-boot IS A thin installer (~3MB) that bootstraps the cyb desktop app from the content-addressed network. It is NOT the app itself. Target flow (from design doc): 1. Import wallet from boot.dat (mnemonic + referrer) 2. Connect to iroh bootstrap nodes 3. Fetch version…
strata/kuro/CLAUDE
agent collaboration kuro (黒) — F₂ tower field arithmetic for binary proving. project structure key invariants zero production dependencies in the core library `#![no_std]` — embeddable anywhere Wiedemann tower construction: α_k = product of all previous generators F₂⁴: α = 0x02, F₂⁸: α = 0x08,…
strata/jali/CLAUDE
agent collaboration jali (जाली) — polynomial ring arithmetic R_q = F_p[x]/(x^n+1) over Goldilocks. project structure no wgsl/ directory. ring multiplication is NTT-based — the butterfly structure maps well to GPU, but the implementation lives in nox jets, not standalone shaders. key invariants…
strata/nebu/CLAUDE
agent collaboration principles for working with AI coding agents across any project. this page is the bootstrap entry point — read it and the four foundational documents to have complete development context: cyber/engineering — pipeline contracts, dual-stream optimization, verification dimensions…
strata/trop/CLAUDE
agent collaboration trop — tropical semiring arithmetic for provable optimization. project structure key invariants zero production dependencies in the core library `#![no_std]` — embeddable anywhere the tropical semiring (min, +) is NOT a field: no additive inverse tropical addition: a + b =…
honeycrisp/unimem/CLAUDE
Claude Code Instructions project: unimem pure Rust memory driver for Apple Silicon. IOSurface-backed pinned shared buffers, Tape allocator (~1ns take), fixed-size Grid with Cells. zero-copy sharing between CPU, GPU, AMX, and ANE. role in the stack unimem is a hardware memory driver. it allocates…

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