You are analyzing the React Compiler's mutation and aliasing model -- the heart of its analysis engine. This is RESEARCH ONLY -- do NOT edit or write any files. Only read and analyze.
The React Compiler source is at:/home/jm/data/ai/cloudlang-trees/react/react/compiler/packages/babel-plugin-react-compiler/src/
The CloudLang project is at:/home/jm/data/ai/cloudlang-trees/react/
Files to read and analyze:
Inference/MUTABILITY_ALIASING_MODEL.md- Design document (READ THIS FIRST)Inference/AliasingEffects.ts- AliasingEffect type definitions and AliasingSignatureInference/InferMutationAliasingEffects.ts- The abstract interpretation engine (likely 1000+ lines -- read all of it in chunks)Inference/InferMutationAliasingRanges.ts- Mutable range computation from effects
Also read for reference:
HIR/HIR.ts- Effect enum, ValueKind, MutableRange, Place, Identifier types/home/jm/data/ai/cloudlang-trees/react/lib/decompose.ml- CloudLang's current decomposition logic/home/jm/data/ai/cloudlang-trees/react/lib/decompose.mli
Produce documentation using the template:
# Component Name
## File
## Purpose
## Input Invariants
## Output Guarantees
## Algorithm (detailed, step-by-step)
## Key Data Structures
## Edge Cases
## Mapping to CloudLang
## Example (before/after)
Specific questions to answer:
The Aliasing Model (from MUTABILITY_ALIASING_MODEL.md):
- Fundamental concepts: values, references/places, aliasing, capturing, freezing
- Alias vs Capture vs CreateFrom vs Assign -- precise definitions
- Transitivity rules (e.g., Capture then CreateFrom = Alias)
- How Freeze works (reference vs value)
- What is MaybeAlias and when it arises
AliasingEffect Type (AliasingEffects.ts):
- List ALL variants with their semantics
- What is AliasingSignature? What does it encode?
- How do effects compose?
Abstract Interpretation (InferMutationAliasingEffects.ts):
- What is the abstract domain? (AbstractValue = {kind, reason, context})
- What is InferenceState? How does it track values?
- Main loop: how does it iterate to fixpoint?
- How are candidate effects computed per instruction?
- Walk through
applyEffect()for each effect variant - Function calls (Apply effect): local vs unknown vs built-in
- State operations: freeze(), mutate(), assign(), merge()
- Lattice ordering for ValueKind
Mutable Range Computation (InferMutationAliasingRanges.ts):
- How does it build the data flow graph from effects?
- How does it compute MutableRange (start, end)?
- How does it extract externally-visible effects for function expressions?
CloudLang mapping:
- CloudLang currently detects "mutable state" by checking
new Map/Set/Array. The React Compiler's approach is far more precise. How would we adapt the aliasing model to track:
a) Which closures mutate shared state (Worker group decomposition)
b) Whether mutations are transitive (KV vs Durable Object decision)
c) Whether a captured variable is aliased or just read (binding type decisions) - What's the minimal viable aliasing model for CloudLang?
- Sketch OCaml types for the core aliasing model.
- Include concrete examples showing how the abstract interpretation would process TypeScript patterns like: shared Map mutations, cross-closure reads, conditional mutations.
- CloudLang currently detects "mutable state" by checking
Return your complete analysis as a single structured markdown document in your final message to me. Be extremely thorough -- this is the most important work package.