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🔥🔥 btrace(AKA RheaTrace) is a high performance Android trace tool which is based on Systrace, it support to define custom events automatically during building apk and using bhook to provider more native events like IO.

  • Updated Dec 31, 2021
  • Kotlin
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Java is an object-oriented programming language used mainly for web, desktop, embedded devices and mobile applications.
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Hound

Hound reviews your code then comments directly in Pull Requests, helping your team maintain consistent coding style and high code quality.

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I-am-Erk
I-am-Erk commented Dec 30, 2021

Is your feature request related to a problem? Please describe.

Turret ammo spawns are an unfortunate balance issue: turrets are too easy a loot pinata for many players.

Solution you would like.

Ideally we should continue to reduce the use of turrets overall until eventually most of them are phased out except in particular special cases. However, a more short-term solution and one that w

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ManiMuridi
ManiMuridi commented Nov 28, 2021

Preliminary Checks

Description

I j

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lunaleaps
lunaleaps commented Dec 2, 2021

I looked into whether we can do this via react-native-bot but it seems like the candidates for the bot is based on Github search: https://github.com/hramos/react-native-bot/blob/master/lib/bot/pullrequests.rb#L48

So I think this might need to be a Github action.

Release branches should follow the form:
{major}.{minor}-stable

asynq

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rverton
rverton commented Oct 20, 2020

To monitor the asynq queue, it would be nice to periodically retrieve stats (like the asynq stats command currently does), but in a format which can be piped into monitoring tools.

A simple and easy way to do this would be to add a --json flag to asynq stats which outputs all gathered stats as json. This stats can then periodically be retrieved (with tools like Telegraf) and then display

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CodeScene

CodeScene is a quality visualization tool for software. Prioritize technical debt, detect delivery risks, and measure organizational aspects. Fully automated.

  • Prioritize development hotspots based on Code Health measure.
  • Integrates with GitHub checks to supervise hotspots in pull requests.
  • Utilize socio-technical analyses to measure off-boarding risks, detect team coordination bottlenecks, etc.