Mathias Biilmann:

it’s important to build up a solid instinct for separating the technologies and products worth spending time on from the ones that will fade into obscurity after their 15 minutes of fame is over

I especially like the idea of recording yourself working to help guide improvement.

A look at the costs of implementing single page applications.

Looks like a useful visualisation for projects.

Some good tips and resources for remote workers and companies.

Impressive.

The Tesla’s big battery in South Australia has already taken a 55 per cent share in the state’s frequency and ancillary services market, and lowered prices in that market by 90 per cent, new data has shown.

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And the 100MW battery has achieved over 55 per cent of the FCAS revenues in South Australia. So it’s 2 per cent of the capacity in South Australia achieving 55 per cent of the revenues in South Australia.

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Various estimates have put the cost savings to consumers from the FCAS market alone at around $35 million, just in the first four months of its operation.

That’s a pretty good bang for the buck for the estimated $50 million investment by the South Australia government. South Australia is the only state that has experienced a decline in FCAS prices over the past few months.

This comes up every couple of years and each time I read it I laugh.

Things unfold in unexpected ways.

A pretty good list.

There’s hope yet that I can draw me some comics one day.

Covers the challenges of employing people around the world.

Goes into the (dearth) of applications as well as how it works.

Reminds me of The Newtonian Casino.

An app to help you use less apps.

Kevin Rutherford:

What follows is my personal, opinionated, idiosyncratic approach to React/Redux development, forged in half a dozen attempts to pursue test-driven development at a good pace.

Some interesting approaches in here. I like the use of more classic terms for some of the Redux concepts. Commands instead of Action Creators. Events instead of actions. Read models instead of reducers or selectors.

A podcast about Watergate.

Tips to visualise and limit context switching.

A useful service for improving the security of your users’ accounts.

A useful overview.

From a couple years ago. The section dispelling dogma that’s arisen around the approach was particularly interesting (from 22:40).

Camille Fournier:

If you are (or were) a highly opinionated engineer, practicing making space for information rather than quickly jumping in and sharing your conclusions is a must for leadership growth.

Joel Spolsky:

I don’t know what the original idea of Twitter was, but it succeeded because of natural selection. In a world where the tech industry was cranking out millions of dumb little social applications, this one happens to limit messages to 140 characters and that happens to create, unintentionally, a subtlety-free indignation machine, which is addictive as heck, so this is the one that survives and thrives and becomes a huge new engine of polarization and anger.

DHH:

Creativity, progress, and impact does not yield easily or commonly to brute force.

The Case for Learned Index Structures:

Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be replaced with other types of models, including deep-learning models, which we term learned indexes.

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Our initial results show, that by using neural nets we are able to outperform cache-optimized B-Trees by up to 70% in speed while saving an order-of-magnitude in memory over several real-world data sets.

Not the weather, but the climate.

He didn’t know whether to fix it or sell tickets.

A deep dive into the feature progression of Google Maps and how far ahead of the pack they are.