Blog posts discussing the technical implementation detail "Static-Linking"
← Back to all tagsBlog posts discussing the technical implementation detail "Static-Linking"
← Back to all tagsThe 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.
Read MoreThe Firefly compiler represents a fundamental shift in how F# code gets compiled to native executables. Unlike traditional F# compilation that relies on pre-compiled assemblies and the .NET runtime, Firefly compiles F# directly to native code through MLIR and LLVM, creating truly dependency-free executables. This architectural choice creates an interesting challenge: how do we handle library dependencies when we can’t rely on traditional assembly resolution? Beyond Assembly-Based Dependencies Traditional F# development uses a well-established pattern where open statements resolve to compiled assemblies in NuGet packages.
Read MoreAt the intersection of two powerful but largely separate computing paradigms stands the Fidelity framework, a revolutionary approach to systems programming that re-imagines what’s possible when functional programming meets direct native compilation. For decades, developers have been forced into an artificial choice: embrace the productivity and safety of managed runtimes like .NET and the JVM while accepting their performance limitations, or pursue the raw efficiency of direct compilation while shouldering the burden of manual memory management and more complex development workflows.
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