Linting Engineering: Modern Linters, Rule Design, and CI Integration for Robust Codebases (eBook, ePUB)
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Linting Engineering: Modern Linters, Rule Design, and CI Integration for Robust Codebases is an authoritative guide to the evolving practice of linting and static analysis. It opens with a clear, practical grounding in core concepts and history, distinguishing linters from other quality techniques while demonstrating their unique role in improving code quality, security, and regulatory compliance across diverse development environments.The book then drills into linter architectures and rule designparsing strategies, rule engines, performance tuning, and extensible plugin frameworkspaired with ...
Linting Engineering: Modern Linters, Rule Design, and CI Integration for Robust Codebases is an authoritative guide to the evolving practice of linting and static analysis. It opens with a clear, practical grounding in core concepts and history, distinguishing linters from other quality techniques while demonstrating their unique role in improving code quality, security, and regulatory compliance across diverse development environments.
The book then drills into linter architectures and rule designparsing strategies, rule engines, performance tuning, and extensible plugin frameworkspaired with hands-on advice for writing maintainable, high-value rules. Language- and ecosystem-specific chapters walk through real-world case studies, from compiled systems languages like C and Rust to scripting and configuration formats such as Bash and YAML, showing how to architect scalable, polyglot linting solutions aligned with organizational goals.
Rounding out the volume are pragmatic treatments of large-scale adoption: developer experience, CI integration and automation, governance, and compliance reporting, plus strategies for incremental rollout and measurement. A forward-looking final section surveys AI-assisted linting, context-aware analysis, and linting in low-code or hybrid environments, making this an essential resource for engineers, architects, and technical leaders focused on building reliable, maintainable codebases.
The book then drills into linter architectures and rule designparsing strategies, rule engines, performance tuning, and extensible plugin frameworkspaired with hands-on advice for writing maintainable, high-value rules. Language- and ecosystem-specific chapters walk through real-world case studies, from compiled systems languages like C and Rust to scripting and configuration formats such as Bash and YAML, showing how to architect scalable, polyglot linting solutions aligned with organizational goals.
Rounding out the volume are pragmatic treatments of large-scale adoption: developer experience, CI integration and automation, governance, and compliance reporting, plus strategies for incremental rollout and measurement. A forward-looking final section surveys AI-assisted linting, context-aware analysis, and linting in low-code or hybrid environments, making this an essential resource for engineers, architects, and technical leaders focused on building reliable, maintainable codebases.
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