Home Code Quality Limitations of code linters and how automated code review tools can help

Limitations of code linters and how automated code review tools can help




Code linters have become an increasingly popular tool for improving code quality by examining source code and detecting bugs and errors.

However, while code linters can be extremely useful, they can also introduce several pain points for developers and might not offer comprehensive insights into the codebase.

Let’s see some of the most common drawbacks when using code linters and how code review tools can give you more in-depth insights to improve your code quality.

5 limitations of code linters

Support for only one programming language

Although some code linters, like PMD, can be used for multiple programming languages, most code linters only support a single language.

Technology stacks with several languages, frameworks, or libraries may need various linting tools integrated into the development workflow. This is not practical and might even hinder performance.

False positives

False positives occur when a code linter flags an issue in the code when, in fact, everything is correct. This can frustrate developers, as they spend time and effort investigating non-issues.

It’s possible to better control false positives by fine-tuning the linter configurations for particular files. However, this raises another issue we’ll cover next: configuration complexity and customization limitations.

Configuration complexity and customization limitations

Setting up a code linter can be challenging, especially for large projects with multiple contributors and a complex codebase. Plus, adjusting the rules can become complicated when configuring multiple linters since each linter might have a different configuration file with different syntaxes and semantics. 

While some linters are highly configurable, others may have limited customization options. This can be a significant pain point for developers needing more flexibility in configuring the tool to meet their specific needs, particularly when reducing false positives.

Limited scope, with reporting on basic metrics only

Some code linters focus on just one aspect of code quality, like security, syntax, code coverage, or code style. We need to use more than one linter to combine these different aspects.

Plus, code linters are typically unable to detect more complex issues, such as performance bottlenecks or cyclomatic complexity. As such, obtaining an integrated, holistic view of code quality becomes more difficult.

Steep learning curve and inconsistent enforcement

Using a code linter can require a learning curve for developers, as they need to understand how to use and configure the linting tools effectively. This can be particularly challenging for developers who are new to the linter or the programming language, making it a barrier to linter adoption.

If your team doesn’t use linters consistently, it can lead to varying code quality and undermine the value of using a code linter in the first place.

How automated code review tools can help

Automated code review tools like Codacy Quality use static code analysis to check your code quality and keep track of your technical debt. These tools make early development faster and more efficient since you can catch errors before they end up causing significant damage, and they offer a broader scope than code linters alone.

Advanced code review tools encompass an easy-to-use UI, a wide range of capabilities and metrics, and the ability to analyze your code in a variety of programming languages at the same time – all in one tool.

At Codacy, we continuously integrate several linting tools, guaranteeing the linters are always up to date. We also constantly introduce new and relevant tools, so you don’t need to worry about a thing. In addition, we support 40+ programming languages and 20 000+ rules and allow you to disable any rule you consider a false positive with a click of a button.

🎥 [Webinar] Linter configuration and best practices to improve code quality

Join our guest speaker Jeroen Engels, author of elm-review, and Lorenzo Gabriele, Software Engineer at Codacy, in discussing how to configure your code linters better.

Linter configuration and best practices Webinar

Join us in our Webinar Linter configuration and best practices to improve code quality. See you there!

👉 When: April 27th, 2023, 5 pm CET / 10 am CDT
👉 Where: onlineregistration needed


Please enter your comment!
Please enter your name here

Subscribe to our newsletter

To be updated with all the latest news, offers and special announcements.

Recent posts

Are you meeting SLA for your most critical security issues?

On May 24th, we did a webinar called Are you meeting SLA for your most critical security issues? In this webinar,...

How does code quality fit into your CI/CD pipeline?

Continuous Integration and Continuous Deployment (CI/CD) are key for organizations wanting to deliver software at scale. CI/CD allows developers to automate...

How Stim uses Codacy to achieve high-quality code

We spoke with Tobias Sjösten, Head of Software Engineering at Stim, about how Codacy helps them guarantee code quality and standardization...

6 things developers should do to ship more secure code

Writing better, more secure source code is fundamental to prevent potential exploits and attacks that could undermine your software applications. However,...

Best practices for security code reviews

In today's interconnected world, where data breaches and cyber threats are increasingly common, one of your top priorities should be to...