#rust#agent#ai#amazon_q#cli#linux#llm#macos#mcp#open_source#productivity#rust#shell#terminal#typescript
Amazon Q CLI is a powerful tool that lets you interact with AWS and your development environment using natural language right from your terminal. It helps you write code, run commands, and manage AWS resources faster by understanding your context and providing smart suggestions, autocompletion, and even translating plain English into shell commands. It supports multi-turn conversations, so you can ask follow-up questions and get real-time help without leaving the command line. This boosts your productivity by simplifying complex tasks, reducing errors, and speeding up development workflows, making it easier to manage projects and infrastructure efficiently[1][2][3].
https://github.com/aws/amazon-q-developer-cli
https://github.com/aio-libs/aiohttp-mako
#mako template renderer for #aiohttp.web based on aiohttp_jinja2. Library has almost same api and support python 3.5 (PEP492) syntax. It is used in aiohttp_debugtoolbar.
#Mako is a #template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and #API borrows from the best ideas of many others, including #Django and #Jinja2 templates, #Cheetah, #Myghty, and #Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics.
http://www.makotemplates.org/