These are the Kickstarter Engineering and Data role definitions for both teams.
Hi Nicholas,
I saw you tweet about JSX yesterday. It seemed like the discussion devolved pretty quickly but I wanted to share our experience over the last year. I understand your concerns. I've made similar remarks about JSX. When we started using it Planning Center, I led the charge to write React without it. I don't imagine I'd have much to say that you haven't considered but, if it's helpful, here's a pattern that changed my opinion:
The idea that "React is the V in MVC" is disingenuous. It's a good pitch but, for many of us, it feels like in invitation to repeat our history of coupled views. In practice, React is the V and the C. Dan Abramov describes the division as Smart and Dumb Components. At our office, we call them stateless and container components (view-controllers if we're Flux). The idea is pretty simple: components can't
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* THE UPDATED VERSION IS AVAILABLE AT | |
* https://github.com/LeCoupa/awesome-cheatsheets | |
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// 0. Synopsis. | |
// http://nodejs.org/api/synopsis.html |
Find it here: https://github.com/bitemyapp/learnhaskell
Here I'm trying to understand what happens when I run
./hello
#include
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On Tue, Mar 12, 2013 at 1:26 PM, Martin Fowler martinfowlercom@gmail.com wrote:
The term pops up in some different places, so it's hard to know what it means without some context. In PoEAA I use the pattern Service Layer to represent a domain-oriented layer of behaviors that provide an API for the domain layer. This may or may not sit on top of a Domain Model. In DDD Eric Evans uses the term Service Object to refer to objects that represent processes (as opposed to Entities and Values). DDD Service Objects are often useful to factor out behavior that would otherwise bloat Entities, it's also a useful step to patterns like Strategy and Command.
It sounds like the DDD sense is the sense I'm encountering most often. I really need to read that book.
The conceptual problem I run into in a lot of codebases is that rather than representing a process, the "service objects" represent "a thing that does the process". Which sounds like a nitpicky difference, but it seems to have a real impact on how people us
A slightly updated version of this doc is here on my website.
I visited with PagerDuty yesterday for a little Friday beer and pizza. While there I got started talking about Go. I was asked by Alex, their CEO, why I liked it. Several other people have asked me the same question recently, so I figured it was worth posting.
The first 1/2 of Go's concurrency story. Lightweight, concurrent function execution. You can spawn tons of these if needed and the Go runtime multiplexes them onto the configured number of CPUs/Threads as needed. They start with a super small stack that can grow (and shrink) via dynamic allocation (and freeing). They are as simple as go f(x)
, where f()
is a function.
Locate the section for your github remote in the .git/config
file. It looks like this:
[remote "origin"]
fetch = +refs/heads/*:refs/remotes/origin/*
url = git@github.com:joyent/node.git
Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/*
to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:
by Jonathan Rochkind, http://bibwild.wordpress.com
Capistrano automates pushing out a new version of your application to a deployment location.
I've been writing and deploying Rails apps for a while, but I avoided using Capistrano until recently. I've got a pretty simple one-host deployment, and even though everyone said Capistrano was great, every time I tried to get started I just got snowed under not being able to figure out exactly what I wanted to do, and figured I wasn't having that much trouble doing it "manually".