SUMMARY: Have we reached a point where coding is a solved problem? And if so, what are the downstream effects on companies that need software to differentiate their business?

GUEST: Brandon Whichard, Co-Host of Software Defined Talk

SHOW: 1019

SHOW TRANSCRIPT: The Reasoning Show #1019 Transcript

SHOW VIDEO: https://youtu.be/q0mksIKcBzk

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SHOW NOTES:

The New Kingmakers (Stephen O’Grady - 2014)
Developer Growth Rates

[Via ChatGPT] A useful way to think about it:

Typing code → mostly commoditized
Designing systems → partially assisted
Owning outcomes → still very human

Topic 1 - How many years into Public Cloud did we assume that Cloud had solved the IT problem?

Topic 2 - Developers - what are we solving for?

10% of time coding, mostly on the last 10-15%
Lots of time in planning meetings (decoding requirements, resource planning, updates, etc.)
Decent amount of time fixing, troubleshooting, technical debt reduction

Topic 2a - Business people have unlimited ideas, and most ideas are money + tech

What would be their interface to problem solving without developers? (is this just a shift to consultants)
Is this a massive opportunity for a great PaaS 3.0 company (e.g. is Vercel an example?)

Topic 3 - [Hypothetical] Let’s assume a fairly normal company fired all their software developers tomorrow. How long before they could get a moderately complex new application of integration into production?

Topic 4 - Nobody likes to work on legacy code - missing source, missing engineers, etc. What do we call any code written by AI that was abandoned within the last 6-12 months?

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Is Coding a Solved Problem?

The Enterprise AI Show