Luca Palmieri
Reasoning about Rust: an introduction to Rustdoc's JSON format
#1about 6 minutes
Reasoning about large-scale Rust projects
Large codebases introduce challenges in governance, architecture, and security that require automated tooling beyond standard linters.
#2about 6 minutes
The limitations of macros for static analysis
Procedural macros execute at compile-time but are limited because they operate on token streams without access to type information or a reflection API.
#3about 6 minutes
Using Rustdoc's JSON format for machine-readable APIs
Rustdoc can output a versioned JSON representation of a crate's public API, providing a stable, machine-parsable format for building custom tools.
#4about 3 minutes
Practical examples of tools using Rustdoc JSON
Explore tools like cargo-semver-checks, cargo-check-external-types, and the pavex framework that leverage Rustdoc JSON for tasks like versioning and dependency injection.
#5about 3 minutes
Limitations and future outlook for Rustdoc JSON
The format is not a silver bullet as it lacks function body information, but it represents a vital first step for building advanced meta-tooling for Rust.
#6about 4 minutes
Q&A on ecosystem integration and custom metadata
Discussion covers how Rustdoc JSON integrates into the CI toolchain and the current inability to add custom metadata attributes for project-specific tooling.
#7about 10 minutes
Q&A on adoption challenges and future improvements
Common pitfalls include linking data across crates, while future improvements may include stable identifiers, stabilization, and better multi-version support.
#8about 8 minutes
The origin of the 'Zero To Production in Rust' book
The book was created to bridge the gap between learning Rust syntax and building a complete, production-grade backend application.
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