RustForge- RustForge is a modular, easily adoptable Rust test-suite template that scales from basic cargo test workflows to compiler-style c

Trascritto

RustForge- RustForge is a modular, easily adoptable Rust test-suite template that scales from basic cargo test workflows to compiler-style c

16 ott 2026 · 55 min. 46 sec.

Descrizione

What makes it different - Truly modular — seven independent category crates (syntax, semantic, performance, fuzz, integration, edge-cases, plus shared core-tests); adopt only what you need. cargo test --workspace pulls...

mostra di più

What makes it different

Truly modular — seven independent category crates (syntax, semantic, performance, fuzz, integration, edge-cases, plus shared core-tests); adopt only what you need. cargo test --workspace pulls in zero extra dependencies by default — heavier tooling (Tokio, Criterion, proptest, trybuild, insta) is opt-in per feature flag, see Feature Flags.
Comprehensive by design — syntax and compile-fail tests, ownership/ semantic correctness, Criterion benchmarks with regression guards (plus statistical baseline comparison), fuzzing (in-process proptest and real cargo-fuzz targets, with a corpus management guide), snapshot testing, boundary/ edge-case checks, and cross-category integration tests. Every one of these actually runs in CI, not just in a README example.
Production-grade from day one — multi-toolchain, multi-OS CI; MSRV verified by a dedicated job, not just claimed; cargo-deny supply-chain checks; Dependabot for both the main and detached fuzz/ workspaces; #![warn(missing_docs)] enforced as a hard CI error; issue/PR templates and a contributor checklist. See Tooling & Automation for the full list.
Easy to adopt, no lock-in — a template, not a framework. Use it as a GitHub template repo, copy crates/ into an existing workspace (see the Quickstart above for the one real gotcha we found by actually testing that flow), or take individual crates — most depend only on shared core-tests, nothing else.
Scales with you — start with syntax/semantic/integration on a small library; grow into fuzzing, property-based testing, and regression-guarded benchmarks as the project's rigor requirements grow.

Library authors who want test coverage adopters can trust
Teams building production Rust services who'd rather not assemble this tooling from scratch
Anyone who'd rather start from a working, CI-verified baseline than bootstrap one

Who it's for

Become a supporter of this podcast: https://www.spreaker.com/podcast/deep-dive-of-rwilliamspbg-ops--7123568/support.

https://github.com/rwilliamspbg-ops

mostra meno