Phil Calcado

@pcalcado
683 Followers
754 Following
481 Posts

Headed engineering for companies w/ either millions of users but no revenue or millions in revenue but no users.

Coding, Brazilian Jiu-Jitsu, and D&D

Brooklyn

Contenthttps://philcalcado.com
Workhttps://outropy.ai

It's still hard to predict how dev tools will adapt to AI development, but one thing that's already pretty clear is that JetBrains and other tool vendors need to beef up their support for Git worktrees and other ways to coordinate multiple streams of work over the same repository.

And with GitHub degrading every day, might as well gear up for the next wave of code hosting while they're at it!

The greatest trick the devil ever pulled was rebranding consultants and sales engineers as FDEs.

> we’ll need senior engineers. People who understand systems end to end, who can debug distributed failures at 2 AM, who carry institutional knowledge that exists nowhere in the codebase. Those engineers don’t exist yet because we’re not creating them. The juniors who should be learning right now are either not being hired or developing what a DoD-funded workforce study calls “AI-mediated competence.” They can prompt an AI. They can’t tell you what the AI got wrong.

https://techtrenches.dev/p/the-west-forgot-how-to-make-things?triedRedirect=true

The West Forgot How to Build. Now It's Forgetting Code

The defense industry lost the ability to make weapons when crisis hit. The same pattern is eroding software engineering skills. The timelines are identical.

From the Trenches
I hope this is just the start, and that the next few years in AI are much better than the idiotic last three.

Its creator and community are humble, kind, and pragmatic. They aren’t contaminated by the zero-sum "ngmi" thinking that curses the current tech industry.

They feel more like 2010s tech than 2020s tech.

On the other hand, the "Austrian school" is basically a group of seasoned hackers and builders using simple primitives to create genuinely interesting systems.

Pi is the engine behind OpenClaw, a product that took everyone by surprise, and now every company is scrambling to copy it.

They’re publishing blog posts in LaTeX to cosplay as research papers, reporting ARR for apps where you’d struggle to find a single real user and then extrapolating all of that into some looming "SaaSpocalypse."

On one hand, the "San Francisco school of AI" seems obsessed with token maxing and snake oil that mainly exists to justify valuations for companies that don’t actually have real products.

Your socials are full of non-technical people vibe coding sloppy web apps and bragging about LOC.

Since 2023, I’ve been bothering anyone who would listen with the same idea: AI will only really deliver on its promises once it’s in the hands of builders, not fundraisers or course sellers

It’s still early, and things could shift, but Mario Zechner’s Pi feels like validation of that idea.

🧵