Review Ninja — a lightweight code review tool that works with GitHub, providing a more structured way to use pull requests for code review. ReviewNinja dispenses with elaborate voting systems, and supports hassle-free committing and merging for acceptable changes.
PlotDevice — A Python-based graphics language for designers, developers, and tinkerers. More in the easy-to-get-started + visual realm, like Processing. (via Andy Baio)
Scumblr and Sketchy Search — Netflix open sourcing some scraping, screenshot, and workflow tools their security team uses to monitor discussion of themselves.
Should Twitter, Facebook and Google Executives be the Arbiters of What We See and Read? (Glenn Greenwald) — In the digital age, we are nearing the point where an idea banished by Twitter, Facebook and Google all but vanishes from public discourse entirely, and that is only going to become more true as those companies grow even further. Whatever else is true, the implications of having those companies make lists of permitted and prohibited ideas are far more significant than when ordinary private companies do the same thing.
Liquibase — source control for your database. Apache 2.0 licensed.
A Few Useful Things to Know About Machine Learning (PDF) — This article summarizes twelve key lessons that machine learning researchers and practitioners have learned. These include pitfalls to avoid, important issues to focus on, and answers to common questions. My fave: First-timers are often surprised by how little time in a machine learning project is spent actually doing machine learning. But it makes sense if you consider how time-consuming it is to gather data, integrate it, clean it and pre-process it, and how much trial and error can go into feature design.
Everything You Wanted to Know About Synchronization But Were Too Afraid to Ask (PDF) — This paper presents the most exhaustive study of synchronization to date. We span multiple layers, from hardware cache-coherence protocols up to high-level concurrent software. We do so on different types of architectures, from single-socket — uniform and non- uniform — to multi-socket — directory and broadcast-based many-cores. We draw a set of observations that, roughly speaking, imply that scalability of synchronization is mainly a property of the hardware.
Inside YouTube’s Fame Factory (FastCompany) — great article about the tipping point where peer-to-peer fame becomes stage-managed corporate fame, as Vidcon grows. See also Variety: If YouTube stars are swallowed by Hollywood, they are in danger of becoming less authentic versions of themselves, and teenagers will be able to pick up on that,” Sehdev says. “That could take away the one thing that makes YouTube stars so appealing.”
Material Design in the Google I/O App (Medium) — steps through design thinking as they put Google’s new design metaphor in place. I’ve been chewing on material design. It brings an internal consistency and logic to the Android world that Apple’s iOS and OS X visual worlds have been losing over the years. How long until web users expect this consistency too?
Stewart and Slack (Wired) — profile of Foo Stewart Butterfield and his shiny Slack startup.
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing (PDF) — paper by Googlers on the database holding G’s ad data. Trillions of rows, petabytes of data, point queries with 99th percentile latency in the hundreds of milliseconds and overall query throughput of trillions of rows fetched per day, continuous updates on the order of millions of rows updated per second, strong consistency and repeatable query results even if a query involves multiple datacenters, and no SPOF. (via Greg Linden)
Thumbstopping (Salon) — The prime goal of a Facebook ad campaign is to create an ad “so compelling that it would get people to stop scrolling through their news feeds,” reports the Times. This is known, in Facebook land, as a “thumbstopper.” And thus, the great promise of the digitial revolution is realized: The best minds of our generation are obsessed with manipulating the movement of your thumb on a smartphone touch-screen.
Microsoft’s Development Practices (Ars Technica) — they get the devops religion but call it “combined engineering”. They get the idea of shared code bases, but call it “open source”. At least when they got the agile religion, they called it that. Check out the horror story of where they started: a two-year development process in which only about four months would be spent writing new code. Twice as long would be spent fixing that code. MSFT’s waterfall was the equivalent of American football, where there’s 11 minutes of actual play in the average 3h 12m game.
Discussion Graph Tool (Microsoft Research) — simplifies social media analysis by making it easy to extract high-level features and co-occurrence relationships from raw data.
Superlinear Productivity in Collective Group Actions (PLoS ONE) — study of open source projects shows small groups exhibit non-linear productivity increases by size, which drop off at larger sizes. we document a size effect in the strength and variability of the superlinear effect, with smaller groups exhibiting widely distributed superlinear exponents, some of them characterizing highly productive teams. In contrast, large groups tend to have a smaller superlinearity and less variability.
coop — cheat sheet of the most common concurrency program flows in Go.
Tessera — set of open source tools around Hadoop, R, and visualization.
Mining of Massive Datasets (PDF) — book by Stanford profs, focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web. Further, the book takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort.
Lessons from Iceland’s Failed Crowdsourced Constitution (Slate) — Though the crowdsourcing moment could have led to a virtuous deliberative feedback loop between the crowd and the Constitutional Council, the latter did not seem to have the time, tools, or training necessary to process carefully the crowd’s input, explain its use of it, let alone return consistent feedback on it to the public.
Thread a ZigBee Killer? — Thread is Nest’s home automation networking stack, which can use the same hardware components as ZigBee, but which is not compatible, also not open source. The Novell NetWare of Things. Nick Hunn makes argument that Google (via Nest) are taking aim at ZigBee: it’s Google and Nest saying “ZigBee doesn’t work”.