Python Converting a Python application to asyncio As you may know, the Mergify engine is written in Python. To execute its vast number of asynchronous tasks, it was leveraging Celery, a framework providing task queues. While Celery is a prominent framework, it was not suited anymore for Mergify growth. In 2020, we decided to replace Celery with
Python Handling 300k GitHub events per day As Mergify is a pull request automation tool, to execute actions on your pull requests, it needs to be aware of any change done on them. To get notified of any mutation, Mergify relies on the GitHub App webhook mechanism. That means that on any modification done to a pull
Python How we handle our roadmap for Mergify Whatever you’re building — a company, a product, or a house — a time comes where you need planning. Pushing random buttons to move forward does not work anymore. You need to take a step back to think about what the optimal move to do next. This arrangement of your future
Open-Source Batching queries with GraphQL GraphQL has seen a booming growth over the last years. A large number of API providers are switching to this new paradigm of querying data on the Web. At Mergify, we’re no exception. To implement our automation engine, we’re heavy users of the GitHub API whose version 4
Python Case Study: CPython Development Workflow It’s no secret that Mergify is written in Python. Our engine is open source and is free for anyone to contribute to. That’s how we roll. We’ve been doing Python for a long time, and that got us close to the development of Python itself and genuinely
