Concept: Zero-Cost-Abstractions

F#’s computation expressions represent one of the language’s crown jewels - a unified syntax that makes complex control flow feel as natural as writing straight-line code. Yet beneath this syntactic elegance lies a mathematical structure that most compilers never fully exploit. In the Fidelity framework, we highlight that most CEs naturally decomposes into one of two fundamental patterns: delimited continuations for sequential effects, or interaction nets for true parallelism. This isn’t just optimization; it’s a recognition of an essential duality that enables us to develop a compilation path that yields true zero-cost computation graphs.

The challenge of binding F# to C++ libraries has historically forced developers into compromising positions: accept the limitations of C-style APIs, manually write error-prone binding code, or rely on runtime marshaling that imposes performance penalties. Farscape’s design targets Plugify’s C++ ABI intelligence. This represents a paradigm shift in this space, enabling automatic generation of type-safe F# bindings that compile away to zero-cost abstractions through LLVM’s Link-Time Optimization. This architectural roadmap outlines how Farscape will evolve from its current C-focused binding generation to comprehensive C++ support by leveraging Plugify’s battle-tested understanding of C++ ABIs.

A startup’s gene analysis samples nearly melted because someone confused Fahrenheit and Celsius in their monitoring system. A Mars orbiter was lost because of mixed metric and imperial units. Medication dosing errors have killed patients due to milligrams versus micrograms confusion. These aren’t edge cases - they’re symptoms of a fundamental problem in how we build mission-critical systems: Most languages approach types as an afterthought rather than a first line of defense.

The cybersecurity landscape has shifted dramatically in recent years, with memory safety vulnerabilities accounting for approximately 70% of critical security issues in systems software. This reality has prompted governments and industries to mandate transitions to memory-safe languages for critical infrastructure. Yet the economics of wholesale rewrites are daunting: decades of refined C and C++ code represent trillions of dollars in intellectual property and domain expertise. What if, instead of rewriting everything, we could wrap existing code in provably safe interfaces?