What is Tin? Tin is a product of TeamCode that can generate executable applications without manual environment configuration.
Functions: Support various ways to deploy applications: Docker Image, Docker Compose, Dockerfile, and Source Code. Provide "Source to Service" capability, support multiple programming languages, and auto-build environment without cumbersome process to install dependencies. Provide clone function, sharing can be experienced by multiple people at a time.
Advantages: Start the application in seconds and help users experience the effect quickly. No need to worry about data loss, the system will save the persistent data with Tin. Low cost with high flexibility, help users release at any time while ensuring data persistence.
Application Scenarios: Quick experience with open source projects Rapid project promotion Visit the link below to learn more Create Tin Application Configure Tin Application Distribute Tin Application Clone Tin Application Share a demo in GitHub
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I think all programmers have had annoyed with environment installation at one time or another, and Tin has saved us a lot of time. When I first heard about Tin, I looked forward to it and tried to open some projects like GitLab-CE with Tin. In short, the overall use feels good.
Based on our record, Gitpod seems to be more popular. It has been mentiond 76 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.
# Example of setting up a Gitpod workspace # Open your repository in Gitpod with one click Https://gitpod.io/#https://github.com/your-repo. - Source: dev.to / 4 months ago
For my part, I often develop on cloud environments. I was lucky to come across Gitpod in 2019 and I have been using it everyday since, whether for Zenika projects, personal projects or open source projects. - Source: dev.to / 10 months ago
We will use VScode workspace running on Gitpod as an IDE, you can use VScode on your local machine but you need to skip steps or change some details related to Gitpod. We will begin by setting up the workspace, preparing the requirements, and installing the dependencies. - Source: dev.to / 8 months ago
Next, we need to install Docker by downloading it from the official website if you haven't already. Alternatively, use a free online platform like Gitpod or a VPS to run a Docker instance, if possible. Otherwise, install it on your local computer. - Source: dev.to / 9 months ago
If you prefer instead to have a look at a fully working & effect-native app we've prepared a demo cli app that you can directly open in Gitpod or locally (if you prefer), you'll need to provide an OpenAI API Key in order to integrate with the OpenAI API. The demo app allows you to train a model via embeddings from a set of files and then allows you to prompt the trained model with questions. - Source: dev.to / about 1 year ago
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