justinsisley / mercenary Goto Github PK
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The force multiplier web app stack
Create an authenticated home page to demonstrate actual usage.
`child_process.js:532
throw err;
^
Error: Command failed:
rm -rf /Users/manmademammal/projects/playground/test-app/static &&
NODE_ENV=production "/Users/manmademammal/projects/playground/test-app/node_modules/.bin/webpack" --display-error-details --config "/Users/manmademammal/projects/playground/test-app/node_modules/mercenary-core/config/webpack/production.js"
at checkExecSyncError (child_process.js:489:13)
at Object.execSync (child_process.js:529:13)
at build (/Users/manmademammal/projects/playground/test-app/node_modules/mercenary-core/tasks/build.js:10:6)
at Object.<anonymous> (/Users/manmademammal/projects/playground/test-app/node_modules/mercenary-core/index.js:49:3)
at Module._compile (module.js:571:32)
at Object.Module._extensions..js (module.js:580:10)
at Module.load (module.js:488:32)
at tryModuleLoad (module.js:447:12)
at Function.Module._load (module.js:439:3)
at Module.runMain (module.js:605:10)`
Should automatically configure the basic AWS environment for deployments.
Create a signup page to demonstrate actual usage.
Create an unauthenticated home page to demonstrate actual usage.
Processing css/0b6a9f00bf8d512d2a1627978d5eb1da.css...
Processed css/0b6a9f00bf8d512d2a1627978d5eb1da.css, before: 385550, after: 285203, ratio: 73.97%
Hash: 60adaac4fcb14a919de9
Version: webpack 2.5.1
Time: 356270ms
Asset Size Chunks Chunk Names
js/bc7322da46add23b4fd8.js 44.8 kB 2 [emitted]
fonts/674f50d287a8c48dc19ba404d20fe713.eot 166 kB [emitted]
images/2bb208aac276d6b06ba61dfac2c1279a.svg 88 bytes [emitted]
fonts/b06871f281fee6b241d60582ae9369b9.ttf 166 kB [emitted]
fonts/fee66e712a8a08eef5805a46892932ad.woff 98 kB [emitted]
fonts/af7ae505a9eed503f8b8e6982036873e.woff2 77.2 kB [emitted]
js/b9fbad611be85d191c23.js 1.1 MB 0 [emitted] [big]
js/7f888211a91bc1f6f344.js 1.1 MB 1 [emitted] [big]
fonts/912ec66d7572ff821749319396470bde.svg 444 kB [emitted] [big]
js/f16f77f0ea14233046d3.js 44.1 kB 3 [emitted]
js/eac4ce98bb78d6a17b93.js 80 kB 4 [emitted]
js/1d6eaee745784d479a4f.js 11.7 kB 5 [emitted]
js/8d921cc5d4cdbe3f3a84.js 8.53 kB 6 [emitted]
js/60adaac4fcb14a919de9.js 608 kB 7 [emitted] [big] main
css/0b6a9f00bf8d512d2a1627978d5eb1da.css 285 kB 7 [emitted] [big] main
index.html 286 kB [emitted] [big]
Core needs to be the bare minimum required to run all tasks. New project setup is the CLI's responsibility.
From: https://facebook.github.io/react/blog/2017/05/18/whats-new-in-create-react-app.html
It is important to keep the initial JavaScript payload of web apps down to the minimum, and load the rest of the code on demand. Although Create React App supported code splitting using require.ensure() since the first release, it used a webpack-specific syntax that did not work in Jest or other environments.
In this release, we are adding support for the dynamic import() proposal which aligns with the future web standards. Unlike require.ensure(), it doesn't break Jest tests, and should eventually become a part of JavaScript. We encourage you to use import() to delay loading the code for non-critical component subtrees until you need to render them.
Icon is currently hard-coded.
Great example: https://github.com/ReactTraining/react-router
https://github.com/slackapi/sample-message-menus-node
Would be great to achieve this without having to host a Slack bot.
Don't make Node compile the email templates on every sendmail. Compile them to disk when the prod task is run, then read it from disk when needed.
Depending on the number and size of all of the email templates combined, you could keep them in memory, but it won't scale indefinitely.
"public" seems to be more standard across various other projects.
New addition to https://www.npmjs.com/package/@risingstack/protect
Something like https://github.com/alex-seville/blanket may do the trick.
Create a login page to demonstrate actual usage. It can be based on the Bootstrap signin example.
Authentication is common enough that a well-rounded boilerplate application should include it.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
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