Blog posts related to the .NET/F# concept "P-Invoke"
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← 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 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?
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.
Read MoreThe computing landscape stands at an inflection point. AI accelerators are reshaping our expectations of performance while “quantum” looms as both opportunity for and threat to our future. Security vulnerabilities in memory-unsafe code continue to cost billions annually. Yet the vast ecosystem of foundational libraries, from TensorFlow’s core implementations to OpenSSL, remains anchored in C and C++. How might we bridge this chasm between the proven code we depend on and the type-safe, accelerated future we’re building at an increasing pace?
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