Tech Truth: Agile Evolution & the Future of SW Engineering
summary
Two pioneers compare how the Genie (LLMs) actually changes daily work: one uses it as an exploratory tutor to implement a BitBlit reference plus a tiny JS compiler, writes an auto test harness, and iterates through multiple failing projects until tests pass; the other treats LLMs as tools for talking to machines while insisting human-to-user communication still determines success. They call out vibe coding risks, reject SAFe-style scaling, cite Tech Radar and DORA debates, and advise juniors to learn in the gaps between features rather than rushing to the next ticket.
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chapters (12)
- 0:00Intro
- 0:50How Martin tamed a room full of egos
- 7:30How Kent & Martin actually use AI today
- 16:20What Martin & Kent think of SAFe?
- 22:58Ethics & education in software engineering
- 29:15Thoughtworks Tech Radar
- 32:36DORA report
- 34:57Do we still need to understand AI code?
- 44:54Is the future of software optimistic?
- 48:05Should there be a 25th anniversary manifesto?
- 50:38Advice for junior developers
- 53:37Outro
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