The Junior Dev Crisis: Who Inherits the Code When AI Does the Work?
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? FEEDBACK? Email: show @ the enterprise ai show dot come Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow