fp-review

Code diff review for functional programming improvements analyzes changes against main, specific paths, PR numbers, or git ranges to produce severity-labeled findings with file:line references. It identifies ADT design, exhaustiveness, and effect tracking opportunities.

Functional programming code review checks for ADT design, exhaustiveness, effect tracking, pure-core/imperative-shell separation, and safer error handling. It applies language-specific moves to raise code quality without requiring wholesale rewrites.

Yes, functional programming review supports multi-language codebases including Rust, TypeScript, Python, and Swift. It applies language-specific FP moves tailored to each language's unique type system and effect tracking capabilities.

Yes, functional programming review applies default exclusions for generated, lock, and build artifacts. This ensures the analysis focuses only on source code changes where FP improvements are relevant and actionable.

Functional programming review reports tradeoffs and identifies when FP would be a regression. It routes deep questions to type, effects, or verification subagents to ensure functional changes genuinely improve code quality rather than introducing unnecessary complexity.

Analyzing exhaustiveness and error handling in a git range diff uses targeted review modes that produce severity-labeled findings with file:line references. It automatically delegates deep type and effect questions to specialized subagents for thorough verification.