How can engineering teams maintain autonomy when they are collaborating with many other teams on a complex system?

There has been a rising answer to this problem in the non-software world: Model-Based Systems Engineering.

Using AI to increase individual productivity feels like this cartoon: you might have saved time personally, but it's probably not changing much at the organisational level. Or worse, you could actually be creating more work down the line.

The #LeanTech approach to quality: shift-left the detection of defects (jidoka), analyse defects systematically to learn (#dantotsu) and invest in mistake-preventing environments (poka-yoke)

That's the book mentioned: www.amazon.fr/Toyota-Danto...

But if you want a more comestible book, that covers all the points in the talk, I would recommend: www.amazon.fr/Lean-Tech-Ma... ;-)

This morning, @nsilberman and I were at Devops REX to share the inspiring story of Bpifrance's Digital Factory and how it leveraged #LeanTech to maintain agility while scaling.

Glad to see #LeanTech resonating with the challenges of tech leaders at @TechRocksFr

As someone challenged during the QA session, why promote scale in today's context?

Lean Tech is not about promoting scale...

The best way to decrease the number of defects detected is to simply look less for them

If that’s your goal, this Volkswagen library is great: it stops your tests from showing problems as soon as they are run in a CI environment.

If that’s not your goal, we recommend the Dantotsu approach

Thrilled to have just shared our journey using AI to accelerate migration from Swift to React-Native.
We will share the slides very soon, in the meantime here is the slide that illustrates our journey best
#RNLConf2024 @yleflour.bsky.social

Impressive live demo by @cedric.dev of dropping web components into React-Native at #RNLConf