Music Time requires a Spotify account. We currently do not support Apple Music, Google Play, or any other players, but may in a future plugin.
Integrated player controls: Control your music right from the status bar of your editor.
Embedded playlists: Browse and play your Spotify playlists and songs from your editor.
AI playlists: Get a personalized AI playlist generated using machine learning to help you focus.
Metrics profile: Learn how the underlying metrics of music (including tempo, loudness, speechiness, energy, and valence) impact how you code.
Personal top 40: See your most productive songs, artists, and genres every week in your weekly top 40.
Weekly music dashboard: See your top songs, artists, and genres each week by productivity score and plays while coding.
Global top 40: Discover new music from developers around the world in our Software Top 40 playlist.
Slack integration: Connect Slack to share songs and playlists in channels in your workspace.
Music Time is built on the Code Time plugin and performs machine learning against a range of music metrics plus productivity data from over 70,000 developers to determine song recommendations. You can also check out the cody-music npm package for more information about how this extension works.
Click the Connect Spotify button in the status bar or in the playlist tree, which will prompt you to log in to your Spotify account.
Click on any song in your list of playlists. Music Time will prompt you to open a Spotify player—either the desktop app or web player.
⚠️ Music Time requires a premium Spotify account and an internet connection to control your music on Windows and Linux. If you are on a Mac, Music Time can also control the Spotify desktop app using AppleScript as either a premium or non-premium user.
Click the Generate AI Playlist button to get a personalized AI playlist generated using machine learning. Your AI Top 40 playlist is initially based on your liked songs and global developer data, but will improve as you listen to more music while you code.
We also recommend songs by genre and mood of music based on your listening history. Try happy, energetic, or danceable music for upbeat work or classical or jazz for slower, more complex tasks. You can add a song to a playlist using the "+" button.
Like a song from the status bar by pressing the "♡" button, which helps us improve your song recommendations and adds that song to your Liked Songs playlist on Spotify.
Discover new music from developers around the world in a playlist generated by our algorithms. The Software Top 40 playlist is refreshed every week.
As you listen to music while you code, we calculate a productivity score by combining your coding metrics with your listening history and data from over 50,000 developers.
Here are the different ways you can discover your most productive music.
Click on the “See web analytics” button to see your most productive songs, artists, and genres by productivity score. You can also visit app.software.com/login and use your Spotify email address to log in.
Click the “🎧” icon in the status bar then Music Time Dashboard to generate an in-editor report of your top songs, artists, and genres by productivity score.
Discover how the underlying metrics of music (including tempo, loudness, speechiness, energy, and valence) impact how you code.
Music Time is built on our Code Time plugin. In the web app, under settings, you can enable "Code Time" to see your Code Time data—such as your keystrokes, time by file and project, and lines of code—which is used calculate to your productivity scores. Visit your feed to see simple visualizations of your Code Time data, such as a rolling heatmap of your top programming times by hour of the day.
Share your top songs on Facebook, Twitter, WhatsApp, and Tumblr by clicking on the share icon next to a song in the playlist tree. You can also Connect Slack to share songs with your team.
Connecting Slack requires team member permissions or above. You will not be able to connect Slack as a single or multi-channel guest.
You can open an issue on a GitHub page or contact us at email@example.com with any additional questions or feedback.
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