Synchronized from bootc-dev/infra@d5a5a62c98. Signed-off-by: bootc-dev Bot <bot@bootc.dev> Co-authored-by: bootc-dev Bot <bot@bootc.dev>
6.5 KiB
Code Review Guidelines
These guidelines are derived from analysis of code reviews across the bootc-dev organization (October–December 2024). They represent the collective expectations and standards that have emerged from real review feedback.
Testing
Tests are expected for all non-trivial changes - unit and integration by default.
If there's something that's difficult to write a test for at the current time, please do at least state if it was tested manually.
Choosing the Right Test Type
Unit tests are appropriate for parsing logic, data transformations, and self-contained functions. Use integration tests for anything that involves running containers or VMs.
Default to table-driven tests instead of having a separate unit test per case. Especially LLMs like to generate the latter, but it can become too verbose. Context windows matter to both humans and LLMs reading the code later (this applies outside of unit tests too of course, but it's easy to generate a lot of code for unit tests unnecessarily).
Separating Parsing from I/O
A recurring theme is structuring code for testability. Split parsers from data
reading: have the parser accept a &str, then have a separate function that
reads from disk and calls the parser. This makes unit testing straightforward
without filesystem dependencies.
Test Assertions
Make assertions strict and specific. Don't just verify that code "didn't crash"— check that outputs match expected values. When adding new commands or output formats, tests should verify the actual content, not just that something was produced.
Code Quality
Parsing Structured Data
Never parse structured data formats (JSON, YAML, XML) with text tools like grep
or sed.
Shell Scripts
Try to avoid having shell script longer than 50 lines. This commonly occurs
in build system and tests. For the build system, usually there's higher
level ways to structure things (Justfile e.g.) and several of our projects
use the cargo xtask pattern to put arbitrary "glue" code in Rust using
the xshell crate to keep it easy to run external commands.
Constants and Magic Values
Extract magic numbers into named constants. Any literal number that isn't immediately obvious—buffer sizes, queue lengths, retry counts, timeouts—should be a constant with a descriptive name. The same applies to magic strings: deduplicate repeated paths, configuration keys, and other string literals.
When values aren't self-explanatory, add a comment explaining why that specific value was chosen.
Don't ignore (swallow) errors
Avoid the if let Ok(v) = ... { } in Rust, or foo 2>/dev/null || true
pattern in shell script by default. Most errors should be propagated by
default. If not, it's usually appropriate to at least log error messages
at a tracing::debug! or equivalent level.
Handle edge cases explicitly: missing data, malformed input, offline systems. Error messages should provide clear context for diagnosis.
Code Organization
Separate concerns: I/O operations, parsing logic, and business logic belong in different functions. Structure code so core logic can be unit tested without external dependencies.
It can be OK to duplicate a bit of code in a slightly different form twice, but having it happen in 3 places asks for deduplication.
Commits and Pull Requests
Commit Organization
Break changes into logical, atomic commits. Reviewers appreciate being able to follow your reasoning: "Especially grateful for breaking it up into individual commits so I can more easily follow your train of thought."
Preparatory refactoring should be separate from behavioral changes. Each commit should tell a clear story and be reviewable independently. Commit messages should explain the "why" not just the "what," and use imperative mood ("Add feature" not "Added feature").
PR Descriptions
PRs should link to the issues they address using Closes: or Fixes: with
full URLs. One reviewer noted: "I edited this issue just now to have
Closes: <URL> but let's try to be sure we're doing that kind of thing in
general in the future."
Document known limitations and caveats explicitly. When approaches have tradeoffs
or don't fully solve a problem, say so. For complex investigations, use collapsible
<details> sections to include debugging notes without cluttering the main
description.
Think about broader implications: "But we'll have this problem across all repos right?" Consider how your change affects the wider ecosystem.
Keeping PRs Current
Keep PRs rebased on main. When CI failures are fixed in other PRs, rebase to pick up the fixes. Reference the fixing PR when noting that a rebase is needed.
Before Merge
Self-review your diff before requesting review. Catch obvious issues yourself rather than burning reviewer cycles.
Do not add Signed-off-by lines automatically—these require explicit human
action after review. If code was AI-assisted, include an Assisted-by: trailer
indicating the tool and model used.
Architecture and Design
Workarounds vs Proper Fixes
When implementing a workaround, document where the proper fix belongs and link to relevant upstream issues. Invest time investigating proper fixes before settling on workarounds.
Cross-Project Considerations
Prefer pushing fixes upstream when the root cause is in a dependency. Reduce scope where possible; don't reimplement functionality that belongs elsewhere.
When multiple systems interact (like Renovate and custom sync tooling), be explicit about which system owns what and how they coordinate.
Avoiding Regressions
Verify that new code paths handle all cases the old code handled. When rewriting functionality, ensure equivalent coverage exists.
Review Requirements
When multiple contributors co-author a PR, bring in an independent reviewer.
Rust-Specific Guidance
Prefer rustix over libc. All unsafe code must be very carefully
justified.
Dependencies
New dependencies should be justified. Glance at existing reverse dependencies on crates.io to see if a crate is widely used. Consider alternatives: "I'm curious if you did any comparative analysis at all with alternatives?"
Prefer well-maintained crates with active communities. Consider cargo deny
policies when adding dependencies.
API Design
When adding new commands or options, think about machine-readable output early. JSON is generally preferred for that.
Keep helper functions in appropriate modules. Move command output formatting close to the CLI layer, keeping core logic functions focused on their primary purpose.