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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: SHOW NOTES: [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? FEEDBACK? |