Eric Khun

🧞‍♂️ Your life AI-native: Game for your brand in one prompt 🛠️ @buffer

[Eric Khun @eric_khun]

Uber just capped each dev at $1.5k/m on Claude Code. Why? Subsidized tokens hook devs → they get the company onboard → it spreads org-wide → SOC 2 forces them to full-price API → bills explode.
Consumers get subsidized tokens. Enterprises pay full price. Well played Anthropic

[Eric Khun @eric_khun]

Someone explains me what is a harness?

[Eric Khun @eric_khun]

Threads has been a blast for engagement. Post there while it last and gets invaded by bots

[Eric Khun @eric_khun]

"People actually pay for Buffer?"
Engineers, you should. Writing code stopped being the edge. AI write better code than you at 4am. What is left? Taste, system design, and an audience that trusts your voice. Virality picks you, you do not pick it. So post everywhere

[Eric Khun @eric_khun]

Even LinkedIn (yes, cringe). it is sending me job offers + real users testing my product and where I got to meet people (for real). Use any tool. Buffer is free for 3 platforms.
Code got cheap. Being known is the game.

[Eric Khun @eric_khun]

@ShivamPatxl I have a simple cron running when to execute them, but the when is LLM driven before hand. how do you do it ?

[Eric Khun @eric_khun]

Kinda funny . I went from scheduling social media posts to scheduling AI agents

Now they prep me for what matters, right before it happens. 👇

[Eric Khun @eric_khun]

I have now swarm of specialized AI agents constantly checking on what’s next now

[Eric Khun @eric_khun]

Been playing with Apple Intelligence local LLM... it's quite underwhelming 😅 what is that "AI" chip for?

[Eric Khun @eric_khun]

execs who don't will pay a hard price

[Guillermo Rauch @rauchg]

Unclear if a durable trend, but CEOs and CTOs are back to coding with a fury, thanks to coding agents.

I have public company CEOs sliding into my DMs (and “InMail”) telling me about falling in love with shipping software again thanks to Claude Code and Vercel.

“Dream accounts” that we always wanted to work with, where in the past the C-suite would hardly understand the infrastructure until much later in the game.

Coding agents are the ultimate PLG-fication of the enterprise. Bad, legacy software can’t hide anymore. The stack that works is self-evident to the entire organization, from intern to CEO.

[Eric Khun @eric_khun]

@nonplayablecin @RaminNasibov damn

[Eric Khun @eric_khun]

@p_millerd a few are realizing this

[Eric Khun @eric_khun]

Didn't know we could pay tax in 7/11 in Taiwan

[Mitchell Hashimoto @mitchellh]

I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem.

As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)!

I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work.

It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results?

88ms => 1.5ms
150K allocs => ~500 allocs

Incredible right? Nope.

My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path.

This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput.

The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity.

Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.

[Eric Khun @eric_khun]

AI agents haha moments:

1. You prompt → wait → receive.
2. They run while you're not watching, and deliver value.
3. They constantly help you in the background.

Most of us are at stage 1, a few on stage 2. I'm building stage 3 with https://t.co/2TBWM4WiH3 🌱

[Eric Khun @eric_khun]

We went from "don't copy/paste StackOverflow without understanding it" to "ship the whole repo" without reading it in about 12 months.

[Eric Khun @eric_khun]

Your company on auto-pilot? Let AI agents pick the right ticket while you sleep:

/loop overnight "solve every Jira/Linear ticket"

Small ticket + good design = it works.
Endgame: agents create tickets from reviews, support, analytics, and let them ship.

You're not in the loop.

[Eric Khun @eric_khun]

Remember when copy/pasting 3 lines from StackOverflow without understanding them was considered reckless? We now ship entire codebases nobody has read.

[Eric Khun @eric_khun]

Running my users agents with https://t.co/VcUfaYNoDa, but the user sandbox get totally stuck from time to time and had to restart the sandbox. Wish I could see sandbox states somehow. Having my eyes on cloudflare/vercel sandbox. anyone tried them?

[Eric Khun @eric_khun]

Last week at Buffer, after 11 years.
4-day weeks. Holidays. A 3-month sabbatical. None of it really worked, my brain was always on, one eye on this calendar.
Strange satisfaction removing it.