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Append `/releases.atom` to any GitHub repository, and you'll get an RSS feed. Example: https://github.com/gradle/gradle/releases.atom https://github.com/gradle

Append `/releases.atom` to any GitHub repository, and you'll get an RSS feed. Example: https://github.com/gradle/gradle/releases.atom https://github.com/gradle/gradle/releases.atom You can add that to your email client, such as Thunderbird. You get the releases and the release notes. I use that for our dependencies and I read the release notes. I also pull the repos and read many commit logs and diffs to predict the direction of these dependencies: if I see a lot of "movement" and "activity" in a category, I can fairly accurately predict that there will be more and I can shape our engineering effort that way. Example in Thunderbird on Ubuntu: - Click on the menu - Click New - Click "Feed account" - Enter a name "My project's dependencies" - Click "Next" - Click "Finish" You will have one "My project's dependencies" element appear on the left sidebar in Thunderbird. Click on that, then: - Click "Manage feed subscriptions", from the right pane. - Enter: https://github.com/gradle/gradle/releases.atom https://github.com/gradle/gradle/releases.atom in the "Feed URL" field on the window that appears - Click "Add" - Click "Close". You will see "Release notes from gradle" appear on the left sidebar, as a child element of "My project's dependencies" 'feed account'.

100011_100001 5y ago
This is awesome and I love how simple it is.
100011_100001 5y ago
This works like a charm for me. Now that I am using it, I can't believe how easy it is.
- Jugurtha 5y ago
  It's nice, right? The team also uses that now and we can catch a lot of things this way. Like, a lot. The product we make is heavy on integration and orchestration of a bunch of tools, technologies, systems, and librarires. It takes complexity away from people involved in machine learning, so we implicitly inherit that complexity and, therefore, there are a lot of things we must track. This is effective.

100011_100001 5y ago

This is awesome and I love how simple it is.

100011_100001 5y ago

This works like a charm for me. Now that I am using it, I can't believe how easy it is.

Jugurtha 5y ago
It's nice, right? The team also uses that now and we can catch a lot of things this way. Like, a lot. The product we make is heavy on integration and orchestration of a bunch of tools, technologies, systems, and librarires. It takes complexity away from people involved in machine learning, so we implicitly inherit that complexity and, therefore, there are a lot of things we must track. This is effective.