Add and remove columns to fit how your team works. Waffle offers templates to help you get started with our most common workflows.
Get exactly the view you want by filtering cards on your board via labels, issue text, milestone, and owner. Bookmark or share the URL of your favorite filtered views.
Connect any number of GitHub repositories to a single board. View all of your open issues and pull requests for a single repository, multiple repositories, or across your entire organization.
WaffleBot listens to cues already in your development workflow and automatically updates the status of your work for you. Don’t worry about forgetting to drag your work to “Review,” WaffleBot automatically moved it for you.
See the status of all of your pull requests in one place. Whether you’re waiting for a build to pass in CircleCI or waiting for a teammate to review your code, your Waffle board shows you in real time when reviews and builds happen.
When Mary approves Ali's pull request, Waffle circles Mary in green so Ali knows her pull request is ready to be merged.
See in-progress builds from your favorite continuous integration tools, including CircleCI, TravisCI, Jenkins, and others. If it integrates with GitHub, it integrates automatically with Waffle!
Find out if you’re on track or not with Waffle’s burndown and throughput metrics. Built on top of your GitHub issues and pull requests, these metrics are tracking the actual work being done.
Easily create epic parent issues and track overall progress of children. Visualize what items are blocking your work on both pull requests and issues. See those blockers update as work is moved to done.
See the progress towards your epic as children issues are completed.
Know exactly what work is required by other issues and when those are completed instantly.
Multiple done columns allow you to track your work after the code has been completed. Add deployments to see the status of your deploys to staging and production. Move cards automatically if the deploy was successful.
Know instantly if something went wrong, red means the deploy failed.
This deploy was successful to production and will automatically move to the Production column.
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