badness 0.2.0

An LSP, formatter, and linter for LaTeX

Badness

Badness is a formatter, linter, and language server for LaTeX, built on a lossless concrete syntax tree.

It parses LaTeX once and serves three tools from that tree:

• Formatter (badness format): deterministic, rule-based layout.
• Linter (badness lint): diagnostics with source snippets.
• Language server (badness lsp): both, live in your editor.

The architecture follows rust-analyzer: a generic, error-tolerant, hand-written parser produces a lossless tree, semantics are layered on top as a separate concern, and recomputation is incremental. badness never requires resolving macros or catcodes to succeed—anything it cannot statically recognize degrades to generic nodes rather than a crash. Two properties hold by construction and are enforced as tests: losslessness (the tree reconstructs the input byte-for-byte) and idempotence (formatting an already formatted file changes nothing).

Installation

Badness is written in Rust. Build from a checkout:

git clone https://github.com/jolars/badness
cd badness
cargo install --path .

VS Code extension

If you use VS Code or a compatible editor (such as Positron or Cursor), install the Badness extension from the VS Code Marketplace or the Open VSX extension. It bundles the badness binary and starts the language server automatically when you open a .tex file.

Usage

# Format a file in place (or stdin → stdout with no path)
badness format paper.tex

# Verify formatting without writing — exits non-zero if anything would change
badness format --check paper.tex

# Lint, reporting parse diagnostics
badness lint paper.tex

# Run the language server over stdio
badness lsp

Formatter style is set through flags: --line-width (default 80), --indent-width (default 2), and --wrap (reflow by default; also preserve, with sentence/semantic planned). See the documentation for the full reference.

Documentation

Full documentation lives at https://jolars.github.io/badness/ (built with mdBook from docs/).

Contributing

Architecture, tenets, and conventions are documented in AGENTS.md, written for both human and AI contributors. In short: keep the syntactic layer free of semantic knowledge, every parser feature needs corpus and snapshot tests plus a losslessness assertion, and code stays rustfmt-clean with clippy warnings treated as errors.

License

MIT