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Thoughtworks Technology Podcast

Democratizing programming

Thoughtworks Technology Podcast

Thoughtworks

Technology, Careers, Business

4.558 Ratings

🗓️ 28 October 2020

⏱️ 35 minutes

🧾️ Download transcript

Summary

There’s growing interest in empowering non-developers to perform tasks that previously only programmers could do. This can help the enterprise deliver useful things quicker and free up developers to focus on more critical stuff. But challenges emerge when moving the citizen-developer-built applications to production scale. Our podcast team explores the possibilities and problems of democratizing programming.

Transcript

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0:00.0

Hello and welcome to the ThoughtWorks Technology Podcast.

0:11.9

I'm your host, Mike Mason, and I'm here with my co-host, Neil Ford. Hi, Neil.

0:15.8

Hello, welcome everybody. My name is Neil Ford. I'm a director, Meme Wrangler, and a software architect at ThoughtWorks, and we're joined today by two of our Doppler members. Let Brandon introduce himself.

0:29.6

Hi, folks. Brandon Byers. I'm a technology director at ThoughtWorks.

0:33.6

I'm Scott Shaw, and I'm the head of technology for ThoughtWorks in Australia, despite my American accent.

0:39.6

I have lived in Australia for many years.

0:42.1

And today we are talking about one of the themes on the ThoughtWorks Technology Radar, Volume 23.

0:49.3

Every radar includes a few themes, which are sort of the culmination of conversations that we've had during the

0:56.3

face-to-face meeting. And one of the themes that we're going to talk about today is called democratizing

1:01.4

programming. Now, we don't assume that everyone who's listening to this has read the radar,

1:06.0

so I will go ahead and read the theme to you, and then we will discuss various aspects of it.

1:12.0

So the theme from our radar says, several of our discussions revolve around tools and techniques that promote the

1:18.1

democratization of programming, allowing non-programmers the ability to perform tasks that previously

1:24.5

only programmers could do. For example, solutions such as IFTTT,

1:30.2

which is if this, then that,

1:32.6

and Zabier have long been popular in this space.

1:35.7

We've observed an increasing use of tools

1:38.0

such as Amazon Honeycode,

1:40.1

a low-code environment for creating

1:41.7

simple business applications.

1:43.8

Although tools such as these

1:45.2

provide fit-to-purpose programming environments, challenges arise when moving them to production-scale

...

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