Raw LLM Responses

⏰ Time Codes: 00:00 - The struggle of explaining AI's role in software engineering 00:27 - Misinterpretations of past AI discussions 01:00 - How AI is affecting software jobs today 01:34 - CEO’s claim: AI writing 90% of code soon? 02:06 - The money behind AI development 03:02 - What does AI writing 90% of code actually mean? 03:35 - AI adoption in the developer community 04:40 - AI's role in large codebases and autocomplete efficiency 05:37 - AI vs. human-written code: The 90% debate 06:15 - Automation’s historical impact on industries 07:20 - Comparing AI in coding to automation in farming 07:52 - The misunderstanding of AI’s role in workflow 08:27 - Will AI fully automate Jira tickets to PRs? 09:31 - The future of software engineering roles 10:26 - Responding to misconceptions in comments 11:20 - Will AI make understanding code obsolete? 12:20 - The problem with assuming software engineers will disappear 13:17 - Who gets hired when coding jobs decline? 14:13 - AI’s limitations in complex enterprise applications 15:06 - The flawed argument that AI will replace all engineers 16:03 - Why past automation fears didn’t eliminate network engineers 16:39 - AI's inability to replace creativity in scripting 17:47 - Misconceptions about AI writing scripts and software 18:41 - Will "Vibe coders" replace traditional developers? 19:17 - Why some big tech companies ban AI coding tools 20:20 - The security risks of AI in software engineering 21:21 - AI’s role in making teams more efficient 22:30 - Could simple prompts replace complex development? 23:36 - The possibility of plain English replacing programming languages 24:33 - Will software engineering be completely automated? 25:37 - If AI replaces all coding, why pay for software? 26:42 - Looking at AI progress over the years 27:39 - The future of senior developers and AI reliance 28:50 - Closing thoughts and a funny Spider-Man debate