SonarCloud, a core component of the Sonar solution, is a Software-as-a-Service (SaaS) tool that systematically helps developers and organizations deliver Clean Code. SonarCloud easily integrates into the cloud DevOps platforms and extends the CI/CD workflow to perform automated code reviews to detect and help fix issues in the code.
Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarCloud analyzes the most popular programming languages, frameworks, and infrastructure technologies and supports over 5,000 Clean Code rules.
Trusted by 7 million developers and 400,000 organizations globally to clean more than half a trillion lines of code, Sonar has become integral to delivering better software.
No features have been listed yet.
Based on our record, SonarCloud should be more popular than A.I. Experiments by Google. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sonarcloud.io — Automated source code analysis for Java, JavaScript, C/C++, C#, VB.NET, PHP, Objective-C, Swift, Python, Groovy and even more languages, free for Open Source. - Source: dev.to / over 1 year ago
Website has been improved with a lot of UI enhancements and updated content. On CI side, dependabot is now enabled as well as SonarCloud. Source: over 1 year ago
I am also using [SonarCloud](https://sonarcloud.io/) for static code analysis to minimize the chances of bugs. Source: about 2 years ago
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
There are tools that scan a repo and automatically drop a comment on a PR if it picks up smells on new code. We used Sonarcloud at a previous job. Source: about 2 years ago
Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 3 years ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Talk to Books by Google - Browse passages from books using experimental AI
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
Facebook.ai - Everything you need to take AI from research to production
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Lobe - Visual tool for building custom deep learning models