Code Spotter vs RuboCop: What are the differences?
Developers describe Code Spotter as "Cloud-based Static Code Analysis for Java". Boolean satisfiability. Interprocedural data flow. Statistical analysis. We’ve got them all. Plus false path pruning, which understands the data dependencies in your code and eliminates infeasible paths from the analysis so you don’t waste time triaging non issues. On the other hand, RuboCop is detailed as "A Ruby static code analyzer, based on the community Ruby style guide". RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.
Code Spotter and RuboCop belong to "Code Review" category of the tech stack.
RuboCop is an open source tool with 10.1K GitHub stars and 2.14K GitHub forks. Here's a link to RuboCop's open source repository on GitHub.
What is Code Spotter?
What is RuboCop?
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What are the cons of using Code Spotter?
What are the cons of using RuboCop?
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For many(if not all) small and medium size business time and cost matter a lot.
That's why languages, frameworks, tools, and services that are easy to use and provide 0 to productive in less time, it's best.
Maybe Node.js frameworks might provide better features compared to Rails but in terms of MVPs, for us Rails is the leading alternative.
Amazon EC2 might be cheaper and more customizable than Heroku but in the initial terms of a project, you need to complete configurationos and deploy early.
Advanced configurations can be done down the road, when the project is running and making money, not before.
Finally, comunication and keeping a good history of conversations, decisions, and discussions is important so we use a mix of Slack and Twist
The continuous integration process for our Rails backend app starts by opening a GitHub pull request. This triggers a CircleCI build and some Code Climate checks.
The CircleCI build is a workflow that runs the following jobs:
- check for security vulnerabilities with Brakeman
- check code quality with RuboCop
- run RSpec tests in parallel with the knapsack gem, and output test coverage reports with the simplecov gem
- upload test coverage to Code Climate
Code Climate checks the following:
- code quality metrics like code complexity
- test coverage minimum thresholds
The CircleCI jobs and Code Climate checks above have corresponding GitHub status checks.
Once all the mandatory GitHub checks pass and the code+functionality have been reviewed, developers can merge their pull request into our Git
master branch. Code is then ready to deploy!