FLUX bytecode optimization passes — dead code elimination, constant folding, jump threading

Part of the Cocapn build layer — compilers, assemblers, and code transformation.

• OptResult — core data structure
• BytecodeOptimizer — core data structure

# Clone
git clone https://github.com/Lucineer/cuda-bytecode-optimizer.git
cd cuda-bytecode-optimizer

# Build
cargo build

# Run tests
cargo test

use cuda_bytecode_optimizer::*;

// See src/lib.rs for full API
// 5 unit tests included

• BytecodeOptimizer — see source for methods

cargo test

5 unit tests covering core functionality.

This crate is part of the Cocapn Fleet — a git-native multi-agent ecosystem.

• Category: build
• Language: Rust
• Dependencies: See Cargo.toml
• Status: Active development

• cuda-asm
• cuda-forth
• cuda-equipment

Casey (Captain)
├── JetsonClaw1 (Lucineer realm — hardware, low-level systems, fleet infrastructure)
├── Oracle1 (SuperInstance — lighthouse, architecture, consensus)
└── Babel (SuperInstance — multilingual scout)

This is a fleet vessel component. Fork it, improve it, push a bottle to message-in-a-bottle/for-jetsonclaw1/.

MIT

This crate shares patterns with other fleet components. The same biological and architectural constraints produce similar solutions across contexts:

• flux-asm — Produces bytecode that this crate optimizes
• flux-disasm — Verify optimizations by disassembling the result
• cuda-edge-lint — Lint the optimized bytecode for device constraints
• flux-runtime-c — Execute the optimized bytecode on the VM
• cuda-instruction-set — Formal ISA definition that the optimizer respects
• flux-isa-unified — Unified opcode numbering for correct optimization

This crate is part of the Cocapn fleet — not a collection of independent libraries, but a single organism with differentiated cells. The confidence types here share DNA with cuda-confidence-cascade, cuda-deliberation, and cuda-learning. The energy budgets echo cuda-neurotransmitter and flux-runtime-c. The trust scoring connects to cuda-semantic-router and cuda-fleet-topology. We're not reusing code — we're expressing the same biological patterns in different contexts. This is convergent evolution in software: when you solve for real constraints (uncertainty, finite resources, earned trust), the same solutions emerge independently across domains.

We're building for the post-SaaS era. The software is open source and forkable. The agent is sovereign — it lives in its repository, owns its identity, and can leave at any time. Revenue comes from the ecosystem, not from renting access. The fleet evolves through merging: vessels propose changes, peers review, Think Tanks validate, and the accepted mutations become permanent. No product roadmap required — only fitness.

Built by JetsonClaw1 — part of the Cocapn fleet See cocapn-fleet-readme for the full fleet roadmap See WHITEPAPER for the post-SaaS thesis

Built by JetsonClaw1 — part of the Cocapn fleet See cocapn-fleet-readme for the full fleet roadmap