CodeClimate
json-api
CodeClimate | json-api | |
---|---|---|
12 | 63 | |
2,489 | 7,329 | |
0.8% | 0.3% | |
2.4 | 5.2 | |
about 2 months ago | 12 days ago | |
Ruby | CSS | |
AGPL | Creative Commons Zero v1.0 Universal |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CodeClimate
- Boas práticas para revisão de código
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Top 5 AI Tools for 10x productivity
Resource Link: CodeClimate
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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
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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 into master, the code is pushed directly to the public environment. Deployment also occurs when a push is made to a development branch enabling local/e2e testing before push to master. In this manner the master branch can be kept clean and ready for deployment most of the time. Problems that surface resulting from changes are visible before reaching master. Additional automated tools are used. Docker images are built for each microservice on commit to a development or master branch, a static code analysis is performed by SonarCloud revealing quality and security problems, Snyk provides vulnerability analysis and CodeClimate provides feedback on code quality while Coveralls provides test coverage. Finally, a CircleCI build is done. Each of these components use badges which give a heads-up display of the health of the system being developed. Incorporating each of these tools into the development process will keep the code on a trajectory of stability. For example, eliminating code smells, security vulnerabilities, and broken tests before merging a pull-request (PR) into master. Using Husky on development machines to ensure that code is well linted and locally tested before it is allowed to be pushed to source-control management (SCM). Applying additional processes such as writing tests around bugs meaning reintroduction of a given bug would cause a test to fail. The automated tools would then require that test to be fixed before push to SCM meaning fewer bugs will be reintroduced. Proper development processes and automation have a strong synergy.
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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.
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Review Pull Requests 3x faster, ... then 10x faster
Code Climate
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Landing my first role as a BDR in NYC.. what are some warning signs I should look for at companies?
Some exciting NYC companies tech companies I like are alloy.co, hyperscience.com, vanta.com, and codeclimate.com.
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What you should know about JSON serialization solution in Ruby
Best code quality - Thanks to SaaS such as CodeClimate I can tell when my code quality is too low. I try to keep "code smells" absolute zero.
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10 Signs of a good Ruby on Rails Developer
Maintainable with smaller methods, less complexity – To know more on this make a habit of using code analyzer like rubocop, Code Climate
- Any good alternative for SonarQube which is free of cost?
json-api
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Hatchify: The Fastest Way to Build JSON: APIs
In addition to saving you time on boilerplate, the API provided by Hatchify fully implements the JSON: API specification, which stipulates solid standards to define the peculiarities of CRUD REST APIs. Get back all the time spent bike-shedding how to implement standard API features like filtering, pagination, including related data, etc. JSON: API offers consistent practices for frontend and backend developers to agree on how resources are fetched and returned. Since Hatchify provides the core of your API for you, you can count on it’s standardized functionality to give your API a consistent start.
- SQL as API
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Show HN: Sunnybox – An Email API for Effortless IMAP Integration
-JSON:API format responses (https://jsonapi.org) for better standardization.
Built using Ruby on Rails, Sunnybox is designed to offer a powerful yet easy-to-use solution for developers managing email systems.
I'd really appreciate your feedback on:
- The API's user-friendliness and efficiency.
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What if an SQL Statement Returned a Database?
https://github.com/json-api/json-api/issues/795
There is an atomic operations extension:
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A View on Functional Software Architecture
JSON:API to format each message
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Custom Fields: Give Your Customers the Fields They Need
As we’re building a RESTful API that’s formatted by the JSON:API specification and store our data in a MySQL8 relational database, a few things were pretty straightforward – we need a new model and we’ll name it Custom Field (naming wasn’t an issue here 🥲).
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How to (and how not to) design REST APIs
I found json api spec[1] recently. This kind of is better standard for REST APIs. It is bit rough to handle client side but once you get the hang of it, it is breeze to use
[1] https://jsonapi.org/
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Building a Secure RESTful API Using NestJS and Prisma With Minimum Code
That's it! Now we have a complete set of RESTful CRUD APIs at "/api/zen" that conforms to the JSON:API specification, and the access policies fully protect the APIs. The API provides rich filtering and relation-fetching capabilities. The following are some examples; you can find more details here.
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JSON Schema Store
Does this have any relation to https://jsonapi.org/ ?
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An Introduction to APIs
Basic REST and JSON RPC are very simple to start with, but have common problems when application gets bigger. How do you represent relations, pagination, filtering etc? My go-to specification for structuring JSON documents is https://jsonapi.org/ It covers most basic needs of a standard API.
What are some alternatives?
Codacy
NSwag - The Swagger/OpenAPI toolchain for .NET, ASP.NET Core and TypeScript.
PHPStan - PHP Static Analysis Tool - discover bugs in your code without running it!
api-guidelines - Microsoft REST API Guidelines
sonarqube-community-branch-plugin - A plugin that allows branch analysis and pull request decoration in the Community version of Sonarqube
laravel-json-api - JSON API (jsonapi.org) package for Laravel applications.
Gitlab CI - GitLab CE Mirror | Please open new issues in our issue tracker on GitLab.com
apollo - 🚀 Apollo/GraphQL integration for VueJS
HoundCI - Automated code review for GitHub pull requests.
grpcurl - Like cURL, but for gRPC: Command-line tool for interacting with gRPC servers
PHP Code Sniffer - PHP_CodeSniffer tokenizes PHP files and detects violations of a defined set of coding standards.
grpc-swift - The Swift language implementation of gRPC.