Ever wondered how the JVM debugger 'Evaluate' feature works in IDEs? Long ago I thought that the Java debug interface (JDI) actually allows you to specify the expression and get back its value.

The 2018 State of JavaScript survey is out. They got 20,000 responses and have some delicious, delicious data. I'mma thread in some highlights:

First up: JavaScript flavors. There's TypeScript at 47% adoption, a tad higher than npm's own survey results (which said 46%). npm's survey is coming up again soon and will ask about TypeScript in a lot more detail.

I really, *really* like SoJ's "would not use again" question, which lets people who've abandoned a tech self-identify. This is noticeable in the graph above with Flow users -- 41% of people who've used Flow say they wouldn't use it again.

Now JavaScript frameworks. It's been a full year since npm's survey, so these numbers differ from ours in the directions I expected:
React 65% (vs. 60%)
Vue 29% (vs. 24%)
Ember 5% (vs 4%, I was expecting a bigger rise)

But there's a shocker in here: Angular.

npm's survey had Angular at 40% last year and SoJ has it at either:
- 58% (if you include those who don't want to use it again)
- 24% (if you count only those who like it)
Since npm's question didn't ask if they intend to *continue* using it I think that might explain this.

Why did I leave Google? A thread.

This thread is going to include quotes from Wired's "Three Years of Misery Inside Google, the Happiest Company in Tech" because I'm not a professional writer

When I joined Google, I fell in love with the company immediately. I was excited to come to work, not just for the technical challenges, but because I really felt I was making a difference and working for the good guys.

I spent 20% of my week working on an app that helped people find lost loved ones after natural disasters. I spent more free time speaking to students about technology and diversity. For an entire school year, I taught CS classes twice a week at a local low income high school.

The company was open. We had a weekly meeting called TGIF where anyone in the company could ask questions of, and raise concerns with, the execs. We got real answers.

Two years ago on a weekend, I built a tool to make it easier to evaluate Twitter accounts. Since then 36590 people used it to analyze 55390 different Twitter accounts.

Over the last months @mmkaradeniz and I made a new version. We launched it last night:

@accountanalysis doesn't use machine learning or AI „magic“. Instead of telling users if an account is authentic or not, it helps them to evaluate the accounts themselves.

It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1

@accountanalysis The core concept is still the same, but it looks much better and is easier to operate. Not only for the users, but us developers as well. Enabling us to continuously roll out new features in the future.

Side-by-side screenshots of the old and new version. /2

@accountanalysis Some people had questions what different charts displayed and how they could be interpreted. There are now explanations for all charts, that can be toggled on and off at any time. /3

@accountanalysis The selected/retrieved Tweet count moved to the top to make it clear that not all Tweets of an account are analyzed. 3200 is the API limit by Twitter. It's possible to get more through the Premium API, but I don't think people would pay $100+ for the analysis of one account. /4

Please please please take your cyber security seriously even if you don’t consider yourself a high risk person. Here are a few easy things to start with. 1/n

Switch from WhatsApp to Signal and enable disappearing messages. Most of us cannot stop using WhatsApp entirely but at least turn off back ups to Google Drive or iCloud. 2/n

Do not have private conversations using the messaging service on any social media platform like Facebook, Instagram or Twitter. 3/n

Switch from Gmail to ProtonMail or any other secure email service provider. 4/n


Switch from Google Docs to CryptPad or RiseUp Pad.

Last weekend, I made a threat on the ongoing #SocialMedia shutdown in Uganda and some implications on the future of #internet & Uganda's #digital agenda.

The thread attracted a lot of engagement and questions. Tonight, I will share some final thoughts on the subject. (1)

Conceptually, social media sites are the largest on-boarding platforms for internet users in Uganda. Notably, Facebook, WhatsApp, Twitter, Instagram & Snapchat attract the highest internet traffic- which drives demand for other platform services e.g Google and Zoom recently.

So- when we talk about an "open internet", we mean the FULL resources of the internet. Any encumberance on selected applications has ripple effects across the entire network thus jeorpadizing standardization of internet/data transmission which is essential for innovation & growth

Furthermore, shutdowns hinder network interoperability (technical ability to plug/link one digital product or service into another product or service). Interoperability is the heart of the "Internet of things" eg business, devices, networks, services, e-govt, integration etc #IoT

Because the internet is a global resource, shutdowns enhance a digital divide (the gap between demographics and regions that have access to modern ICTs, and those that don't or have restricted access). Ironic that 3rd world countries have the highest number of shutdowns globally.