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This article 👇 offers an introduction to #MoldableDevelopment.

It's written for a first time reader. It's not quite short, but it's not that long either (~4000 words). It has concrete examples, but also a little broader theory.



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It starts from the reading problem: reading accounts for the single largest expense in software development today, but it's just a strategy to gather information from the system. We can automate much of it, but we should do it through custom tools.

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To give a hint as to why this is relevant, I describe of an experiment in which we gave student teams the same requirements and a constrained tech. They produced very different structures which suggests that a system's inside emerges over time and that we need to react to it.

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Read 11 tweets
A case study of #MoldableDevelopment:

A while back we implemented the squarified treemap algorithm in #GToolkit.

The implementation is based on a paper written by Bruls, @mackees and van Wijk in 2000 that describes a heuristics-based algorithm.

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The paper describes the algorithm in detail, and most of the explanations are based on visual depictions.

Here is a visualization showing the core iterative steps taken by the algorithm.

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Of course, the main goal of implementing an algorithm like this is to produce the final picture. Here is how such a result looks like in #GToolkit.

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Read 7 tweets
"Everyone in the team should know the vision. Including the technical people." Sure, says everybody.

"Everyone in the team should know how the implementation. Including the non-technical people." What?!

Yep.

Let me take you on a ride.

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Typically, it all starts with a vision.

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The interface kind of reflects it.

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Read 19 tweets
Last year we shipped a first version of #Lepiter and it felt great to see it flying out the door:


Lepiter is the latest significant step in our journey to making systems explainable. Here is a behind the scene peak of how we got here.

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Our guiding north star @feenkcom is making the inside of systems explainable. We spent a great deal of energy rethinking how we can figure systems out, and this led to #MoldableDevelopment and #GToolkit.



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#GToolkit proposes a new development experience. We see the environment as a language made out of visual and interactive operators that can be combined in many ways while working with the environment.

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Read 20 tweets
#ToolsForThought

But, what thought?

🧵

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The recent conversations about #ToolsForThought tend to revolve around note taking. Indeed, a note can be a representation of thought...

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But, a tweet can also be a representation of thought.



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Read 21 tweets
I gave a talk at #QConPlus on "Moldable Development by Example".

A summary.

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The talk consisted mostly of two stories. Two examples.

I started with a little story inspired by our recent experience of going through the Open edX system.



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It went like this. Imagine you have a system written in Python and you want to split it for various reasons.

You'd first look for components that already exist. In this case, the system already seems to have top components available (as documented by top folders).

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Read 20 tweets
#GToolkit now features a new component: #Lepiter.

Knowledge Management + Multilanguage Notebooks + Moldable Development.

Let's take a tour.

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Lepiter is made of snippets assembled in pages. Each snippet has its own language and comes with its own editor.

In its simplest form, it's a Markdown note taker with live markup that appears on demand and expandable links.

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When combined with a table of contents, pages can form a book.

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Read 21 tweets
#MoldableDevelopment is a way of programming through which you construct custom tools for each problem.

What does that mean exactly?
Where does it come from?
Why is it relevant?

Read on.

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The original idea of #MoldableDevelopment came from the work on Humane Assessment through which I argued that we need custom tools to reason about software systems effectively.



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The idea of custom tools is a significant departure from the typical software engineering canons which often argue the opposite.

Still, it is relevant because it tackles the single largest expense in software development: figuring the system out.



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Read 31 tweets
The monolith vs microservices debate…

By now there is plenty of evidence that both architectures can lead to a “mess”. This only shows that we should not look at these as mechanisms for controlling the said mess” in the first place.

The answer lies somewhere else.

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“It’s the people!”

Well, as long as it’s people building the system, of course it’s the people. But, saying that does not get us closer to figuring a way forward though.

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Now, what exactly does “mess” mean? The famous spaghetti code?

Mess tends to assume that there is a clean way. And by clean, people typically mean easy to understand and change.

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Read 11 tweets
“Developers spend most of their time figuring the system out."

Let’s dissect this a little.

🧵

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The oldest reference on the topic I know of dates back to 1979:

Zelkowitz, Shaw, and Gannon. Principles of software engineering and design. Prentice-Hall Englewood Cliffs, 1979.

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It said that most of the development time was spent on maintenance (67% in the book).

Granted, the book does not specify how the figure was obtained. Still, it was deemed an important enough problem to attract significant research attention since then.

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Read 18 tweets
Accidentally stayed up until 7am on a videocall with @girba learning about Pharoah Smalltalk and #gtoolkit

Have not been this excited about a new programming paradigm since I learned Clojure.

Amazing amazing tool they have, with almost no on-boarding yet.

Just how I like it!!
Something always felt really wrong about Object Oriented Programming, @girba finally gave me words for it.

Asked him "what's missing from ruby/java, that you have in Smalltalk?"

The environment

Take a living language and put it in dead text files.

Worst possible experience.
Finally have justification for my rants on OOP in this thread

Read 5 tweets

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