Based on our record, AWS Cloud9 seems to be a lot more popular than SentiSum. While we know about 38 links to AWS Cloud9, we've tracked only 1 mention of SentiSum. 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.
AWS has Cloud9[1] though it's worth pointing out that it's not an exact a 1:1 and may require some elbow grease to use in the same manner[2]. 1. https://aws.amazon.com/cloud9/ 2. https://aws.amazon.com/blogs/architecture/field-notes-use-aws-cloud9-to-power-your-visual-studio-code-ide/ (2021). - Source: Hacker News / 11 months ago
If you just want to run an IDE for Python in the cloud, take a look at AWS Cloud9 (that would cost something however). You could get your code into AWS and sync your local changes using a source code repository, e.g. On GitHub or GitLab. Source: about 1 year ago
Not sure why you won't use replit but AWS has Cloud9 https://aws.amazon.com/cloud9/. Source: about 1 year ago
As I mentioned in a previous post, cloud9 was not in the course I was studying from, and not in the practice exams I solved. It came in my exam. Https://aws.amazon.com/cloud9/. Source: about 1 year ago
Link: https://aws.amazon.com/cloud9/. Source: over 1 year ago
From a more standardised reporting perspective, AI tags on support tickets work well to standardise insights from a high volume of tickets so product teams can get a good overview of issues, feature requests, monitor the effectiveness of new releases without having to ask support what is in the data. SentiSum is built for this kind of democratization of support insights across different teams like product and ops. Source: about 3 years ago
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