Under the Hood: Building and open-sourcing flint

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Andrei Alexandrescu
13 min readintermediate
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Overview

The article discusses the development and open-sourcing of Flint, Facebook's custom linting tool designed for C++ code. It highlights the challenges faced with existing linting tools and the advantages of Flint's design, which is based on token analysis and implemented in the D programming language.

What You'll Learn

1

How to implement a custom linting tool for C++ code

2

Why using a token-oriented design can improve linting performance

3

When to consider rewriting a tool in a different programming language for performance gains

Prerequisites & Requirements

  • Understanding of C++ and its features, particularly C++11
  • Familiarity with linting tools and static code analysis(optional)
  • Basic knowledge of the D programming language(optional)

Key Questions Answered

What are the advantages of using Flint over existing C++ linting tools?
Flint was developed because existing C++ linting tools were too slow and lacked support for C++11 features. Flint's token-oriented design allows for faster analysis and better integration with Facebook's code review system, addressing specific linting needs that existing tools could not meet.
How does Flint handle token analysis?
Flint operates by converting input files into an array of tokens, preserving comments for context. This allows for efficient analysis and the implementation of custom lint rules tailored to Facebook's coding standards, enhancing code quality and maintainability.
What programming language is Flint written in and why was it chosen?
Flint is written in the D programming language, which was selected for its performance benefits over the original C++ implementation. The D version is smaller, faster to build, and easier to contribute to, making it more suitable for ongoing development.

Key Statistics & Figures

Build speed improvement
Five times faster
Flint's D implementation significantly reduced build times compared to the original C++ version, enhancing development efficiency.
Run speed improvement
Between 5% and 25% faster
The run speed of Flint improved depending on the file size, with larger files benefiting the most from the transition to D.

Technologies & Tools

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Programming Language
D
Used to implement Flint, providing performance benefits over the original C++ version.
Programming Language
C++
Original language of Flint before it was rewritten in D.
Code Review Tool
Phabricator
Integration with Flint for automatic lint error notifications during code reviews.

Key Actionable Insights

1
Consider developing a custom linting tool if existing options do not meet your project's specific needs.
Many organizations face limitations with off-the-shelf linting tools, especially when dealing with unique codebases or specific language features. Flint's development showcases how a tailored approach can significantly enhance code quality.
2
Utilize a token-oriented design for tools that require high performance and flexibility.
Flint's design allows for quick analysis by focusing on tokens rather than building complex parse trees. This approach can be beneficial in various applications beyond linting, where performance is critical.

Common Pitfalls

1
Using blocklisted identifiers or token sequences without awareness of organizational standards.
Many developers may inadvertently use identifiers or sequences that are discouraged by their organization. Flint helps enforce these standards, but developers must be aware of them to avoid linting errors.

Related Concepts

Static Code Analysis
Custom Linting Tools
Performance Optimization In Programming Languages