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

SHOW SPONSORS:

• ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
• Nasuni - Activate your data for AI and request a demo

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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