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Secure Your AI-Generated Code with Socket MCP
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
Line is flow control designed to work with CoffeeScript.
Here's an example:
Line = require('line').Line
data2 = null
l = new Line
error: (err) -> console.log('Oh no! One of the callbacks had an error:', err)
-> fs.readdir 'my_dir', @wait()
(files) ->
# Callback results can be named, or observed
fs.readFile "my_dir/#{files[0]}", 'utf8', @wait('data1')
fs.readFile "my_dir/#{files[1]}", 'utf8', @wait (data) -> data2 = data
fs.stat "my_dir/#{files[2]}", @wait()
# By default, the result of the last wait() call will be passed on
(stats) ->
console.log('Contents of the first file:', @results.data1)
console.log('Contents of the second file:', data2)
console.log('Result of fs.stat for the third file:', stats)
# If there is no wait() call, the callback will complete immediately
# Blocks can also be added later
l.add -> console.log('All the tasks completed without errors.')
FAQs
Control flow like a boss
The npm package line receives a total of 24 weekly downloads. As such, line popularity was classified as not popular.
We found that line demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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