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Source channel @githubtrending · Post #15404 · Jan 9
#shell Superpowers turns a coding agent into a disciplined helper that first clarifies what you want, then designs, plans, and implements features using clear steps and strict test‑driven development. It automatically manages branches, breaks work into tiny tasks, uses sub‑agents with built‑in reviews, and enforces quality checks before merging. You benefit by getting more reliable code, less babysitting of the AI, safer experimentation in isolated branches, and a repeatable workflow that feels like working with a careful junior engineer who always follows best practices. https://github.com/obra/superpowers
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@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
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@djangoproject · Post #262 · 02/16/2017, 07:24 AM
http://masnun.com/2015/11/20/python-asyncio-future-task-and-the-event-loop.html On any platform, when we want to do something #asynchronously, it usually involves an #event loop. An event loop is a loop that can register #tasks to be executed, execute them, delay or even cancel them and handle different events related to these operations. Generally, we #schedule multiple async functions to the event loop. The loop runs one function, while that function waits for #IO, it pauses it and runs another. When the first function completes IO, it is resumed. Thus two or more functions can #co_operatively run together. This the main goal of an event loop.