Scheme Formal Verification
TLA+ bridge for Scheme verification with property-based testing
Functional programming, formal methods, and AI systems research
Building verified functional systems with emphasis on meta-circular evaluation and symbolic computation
Computational approaches to program structure through categorical abstractions and type theory
AI-powered code analysis and synthesis, bridging symbolic and neural approaches
TLA+ specifications for real systems with automated property checking
TLA+ bridge for Scheme verification with property-based testing
Functional implementations of advanced data structures from MIT's graduate course
LLM-powered repository analysis and knowledge extraction
Inductive program synthesis through reversible computation
Why the convergence of functional programming, formal methods, and AI systems presents unprecedented opportunities for building trustworthy intelligent systems.
Exploring the intersection of formal verification and functional programming through TLA+ specifications for Scheme programs.
How categorical thinking transforms the way we structure programs, with practical examples in Scheme.