You say you've got an "AI SDLC"
summary
Claims that an AI SDLC exists get narrowed to specifics: Fabian Wesner runs a 50‑page spec against new models, testing end‑to‑end e‑commerce delivery and finding GPT 5.5 much faster; Anthropic ships rapid model harnesses and features by the dozen. The surprising numbers are the promised 10x improvement vs the reality of many orgs showing no net gain while costs and token burn climb and lead time sometimes worsens. The proposed fix is concrete: a 2×2 map of skill and scope, active multi‑learning and unpinning teams — dubbed the Ferrari effect diagnosis and redesign then AI.
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chapters (10)
- 0:00AI SDLC introduction
- 1:27Defining AI SDLC impact
- 8:34Minimizing transaction costs
- 10:42Core formula for AI success
- 16:19Local vs global change
- 22:43Ferrari effect in AI
- 24:51Organizational relevance tuning
- 31:39Multi-learning with AI
- 32:22Redesign for 10x improvement
- 32:43Q&A
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