Error Prone Reviews

CodeClimate Reviews

Error Prone mentions (4)

• How to use Java Records

  A special kind of validation is enforcing that record fields are not null. (Un)fortunately, records do not have any special behavior regarding nullability. You can use tools like NullAway or Error Prone to prevent null in your code in general, or you can add checks to your records:. - Source: dev.to / over 1 year ago

• Why is `suspend` a language keyword, but @Composable and @Serializable are annotations

  I am all in favour to more third side libraries adding functionalities, like Lombok, Manifold and error prone. As well as smaller projects like this shameless plug and what appears in this list. Source: over 1 year ago

• Is there a tool to track CVEs for the software that we use?

  While at it you could also point them to static code analyzers such as error_prone, spotbugs and pmd (use all 3 at once - they complement each other in detecting different issues). Source: over 2 years ago

• Get rid of those boolean function parameters (2015)

  Linters can check for this sort of thing, for example Error Prone[0] has a lint[1] for this. Totally agree this is better to be in the language proper so we don't need this extra tooling. [0]: https://errorprone.info [1]: https://errorprone.info/bugpattern/ParameterName. - Source: Hacker News / over 2 years ago

CodeClimate mentions (11)

• free-for.dev

  Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago

• How To Use Code Climate To Improve Software Quality

  Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: almost 2 years ago

• RFC: A Full-stack Analytics Platform Architecture

  Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 2 years ago

• Adding coverage to CI pipeline?

  The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago

• Node.js best practices list (July 2021)

  TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago