Amazon CodeGuru VS CodeClimate

Amazon CodeGuru Reviews

CodeClimate Reviews

Amazon CodeGuru mentions (8)

• AI Coding: The Ultimate Guide to Enhancing Your Development Workflow

  CodeGuru is a machine learning service by Amazon Web Services that provides automated code reviews and performance recommendations. Amazon CodeGuru leverages machine learning to enhance code quality by providing automated code reviews and performance recommendations. - Source: dev.to / about 1 month ago

• How to Use CodeWhisperer to Identify Issues and Use Suggestions to Improve Code Security in your IDE

  There are security scans available in JetBrains for Python, Java, JavaScript, TypeScript, and VS code as well. AWS CodeGuru Security is another amazing security tool that takes the assistance from detection engine. Detector Library is an important component of detection engine which is responsible in making you understand why your code was highlighted by CodeWhisperer and whether an action is to be taken or not.... - Source: dev.to / 4 months ago

• Amazon CodeGuru Reviewer: already time for retirement?

  The final hint that something will probably happen soon was the announcement of the CodeGuru Security service, and the modification of the main CodeGuru page to point instead towards this new service. CodeGuru Security at first glance seems to be a modified version of the Reviewer, with a focus on security. This is pure speculation at this point, but I suspect that CodeGuru Reviewer will soon be either dropped or... - Source: dev.to / 9 months ago

• 6 AI tool that you should use as a developer

  The security of your applications is critical in the world of software development. Amazon CodeGuru Security is an AI-powered tool that helps developers identify potential security flaws in their code. CodeGuru Security analyses codebases, makes intelligent recommendations, and flags potential security risks using machine learning algorithms. This powerful tool enables developers to proactively improve their... - Source: dev.to / 11 months ago

• AI and the future of DevOps

  As AI technology advances, it will likely profoundly impact code reviews. This is already starting to happen with the development of tools such as Amazon CodeGuru and GitLab's ModelOps. These tools automate certain aspects of the code review process, such as identifying potential errors and suggesting improvements, saving developers time and effort while also helping to improve code quality. - Source: dev.to / over 1 year 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 / almost 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