The resume is dead and nobody sent the memo.

A take on

Aditya Agarwal's article "When Your Life's Work Becomes Free and Abundant" (The Information, via @adityaag)

Aditya Agarwal was one of the first engineers at Facebook. He built the original search engine. He became CTO of Dropbox and scaled the engineering team from 25 to a 1,000.

Code has been the foundation of his career for over two decades. Then he spent a weekend building with Claude.

"We will never write code by hand again. Something I was very good at is now free and abundant."

In the five days after that weekend, he produced more code than he had in the previous five years. That is not an exaggeration.

That is a former CTO of Dropbox saying out loud what most people in his position are afraid to admit. The cost of building anything just collapsed.

"Things I would never have attempted before, because the cost of building them would have been too high, suddenly became possible in an afternoon."

The constraints he had accepted for his entire career had dissolved. And instead of grief, what replaced it was a kind of reckless, productive energy. The kind you remember getting from having to eat all the cereal in the box to get the toy.

Through South Park Commons, his community and venture fund for builders, he started watching hundreds of engineers and founders navigate the same thing.

He starting seeing the same thing that should make every hiring manager deeply uncomfortable.

One SPC member ran roughly 20 work trials for engineering hires. Extended, weeklong interviews. And they all had zero correlation between years of experience and adaptability to AI tools.

Another member found that what actually predicted success was evidence of a builder's disposition.

-Cool personal websites -Side projects -An obvious love of making things. -FAANG on the resume -name-brand university predicted almost nothing.

He mentioned that another member started giving coding tasks intentionally too long to complete by hand. The assignment became a clean filter.

You could immediately tell who was using AI tools daily versus who had been reading about them from a distance.

"The gap in the number of lines of code the two groups write wasn't 10%. It was closer to 10x."

That finding carries a name worth sitting with.

Restlessness.

"The people I'm most excited about aren't the ones with perfect pedigrees. They're the people who seem constitutionally unable to stop tinkering, who get antsy when things stay the same, who treat every new tool like a puzzle they need to solve before the day is over."

The dividing line is not generational. It is dispositional.

He has watched 15-year industry veterans pick up these tools and crush it.

He also saw recent graduates treat AI as an abstraction to be debated rather than a tool to be used.

"Willingness to change seems to operate as an independent variable, cutting across age and seniority in ways that defy easy categorization."

I think that this fundamentally changes what a startup actually needs to function. Three people with high agency and daily AI fluency now produce what used to require a fifteen-person engineering team.

Capital requirements are getting shorter and shorter because the timeline from idea to meaningful validation compresses by months.

The massive technical staff that once consumed most of a company's capital burn becomes optional.

Resources migrate toward the capabilities that remain distinctly human. Selecting problems worth obsessing over. Developing real empathy for customer pain.

Talent identification follows the same trend. None of the proxies for quality hold true anymore.

The shipping velocity with AI tools tells you more about a potential hire than their credential stack ever will. The market still underprices these builders, which creates a window that won't stay open.

The old guard face a very specific version of this reality. The technical mastery that defined their professional identity now sits inside a tool anyone can access.

The ones who channel that disruption into sharper vision, stronger synthesis, and more decisive leadership find their accumulated knowledge accelerating them.

The ones who cling to execution as identity get lapped.

"You have to let go of the thing you were in order to become the thing you might be. That's always been the hardest part, long before AI. The technology just made it impossible to ignore."

The credentials economy built a moat out of scarcity.

AI filled the moat with water.