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Cake day: March 28th, 2026

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  • Especially because of scale. “Salesforce” is an incredibly complex group of many software applications with 80,000+ employees and many of their engineers have “unlimited” ai spend. So instead of “we’re rebuilding salesforce” they need to decompose salesforce into its individual elements and see what people need. And even when you have those products decomposed, you need to have swathes of people that understand the business needs that each one fulfills. My title is “Lead Architect: AI” for a medium sized SaaS company and our software has very specialized requirements across a number of verticals. And while salesforce is in no way a direct competitor, I know the sort of things that they’re building and the effort to “vibe code salesforce” is a Herculean task, and all the engineers at my company, many of whom have Ivy League computer science degrees, couldn’t build do that in 5 years, if we dropped everything and tried, with unlimited budget for LLM assisted work.










  • Yeah and this isn’t a new paradigm, in the sense that tools to find exploits have gotten better repeatedly and allowed those with enough knowledge to use the tools to find them, regardless of if they could manually craft the exploit themselves. There’s a multitude of bug bounties that have been claimed by those who knew how to let a reverse engineering tool like ghidra hammer away at something with variation for long enough. And the models are capable of novel exploits on their own, but generally they are just doing the same, hammering ghidra with an MCP at accelerated scale. So “only ai would have found this bug” is technically untrue and moot.