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Some CLI tools have man pages and in such situations like writing completion spec, people usually use them as a source to learn about the tool and its subcommands options, etc. (Usually they have the best reputation for being the most accurate source of information). Though, the tool I chose to write the completion spec, taplo, did not have any manual entry pages. Even better! I found their website and documentation which was really helpful.
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ohmyzsh
🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
I used to use bash and know the best as my default shell, but I solely switched to zsh because it become the default in macOS, likewise I use ohmyzsh as my framework. It is a pleasant experience and easy to manage the prompt and plugins.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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I use iTerm2 as my terminal, it is a great alternative to the default macOS terminal and has a lot of features - customization.
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I recently heard about prezto which is a fork of ohmyzsh but haven't tried it yet (most of the plugins I use are in ohmyzsh) it is more customizable and less bloated than ohmyzsh.
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Maintainers of withfig/autocomplete are super active and helpful. They constantly add more issues related to writing brand-new completion specs and improving existing ones. Writing completion specs, I think, is one of the best gateways to learning about CLI tools in depth and contributing to open-source. Also, if you are using Fig you can actually use the completion specs you wrote in your terminal!
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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