SolverForge.ai’s Post

We published three technical articles about how SolverForge approaches constraint programming. 👉 The frontend story: Our quickstarts still use jQuery. Not because we haven't gotten around to modernizing—because transparency matters more than sophistication when you're teaching. When a developer opens devtools, they see exactly what's happening. No virtual DOM diffing, no state management abstractions, no build step artifacts. 👉 The backend story: SolverForge is written in Rust with a zero-erasure architecture. No Box<dyn Trait>, no Arc, no vtable lookups in hot paths. Every constraint compiles to specialized machine code. SERIO, our incremental scoring engine, recalculates only what changed—essential when evaluating millions of candidate moves per second. 👉 The practical story: A new Rust quickstart walks through employee scheduling from domain model to deployed solution, showing how the pieces connect. The ergonomics gap between Rust and Python is our current focus. We're addressing it from both directions: improving Rust's constraint DSL and building Python bindings that compile to the same native core. Links in the first comment! 👇

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