Gopal Goel

Learn, Think and Create | Building AI Agents @ BigTech

[Gopal Goel @gopalgoel19]

If your app doesn't have CLI, you are not gonna make it.

[Andy Fang @andyfang]

Today we're opening up the DoorDash CLI in limited beta.

`dd-cli` lets you order DoorDash directly from your agent: search stores, find the best deals, check out, and more.

Early access for US/Canadian macOS developers by waitlist. Excited to see what folks build!

[Gopal Goel @gopalgoel19]

Only the paranoid survive

[Elon Musk @elonmusk]

Background on the Starship story

[Gopal Goel @gopalgoel19]

time to treat agents are real engineers within an org

[Satya Nadella @satyanadella]

https://t.co/vLmiBKTtX3

[Gopal Goel @gopalgoel19]

@protosphinx He also said India doesn't have the risk capital to build world's best AI models which is true.

[Gopal Goel @gopalgoel19]

@svembu monetizing nationalism

[Gopal Goel @gopalgoel19]

@dhruv_rathee cope

[Andrej Karpathy @karpathy]

This is the the quote I've been citing a lot recently.

[Gopal Goel @gopalgoel19]

@KimDotcom A billion Hindus not feeling FOMO

[Gopal Goel @gopalgoel19]

@bryan_johnson dude whats is wrong with you

[Gopal Goel @gopalgoel19]

@isaacinthesky @Noahpinion nimby

[jack @jack]

everything is programming

[Gopal Goel @gopalgoel19]

@GabbbarSingh you probably dont know it yet but you have been banned in Japan

[Gopal Goel @gopalgoel19]

Reality is much more interesting than fiction.

[Gopal Goel @gopalgoel19]

@amasad Congrats @vaibhavk97 and the replit team

[Jiang Xueqin @xueqinjiang]

My analysis on the US-Iran War: https://t.co/lkdCMLKgyZ

[Gopal Goel @gopalgoel19]

@mohitlaws Hubris

[Gopal Goel @gopalgoel19]

Software should be like pizza 💯

[a16z @a16z]

Stripe CEO Patrick Collison: "Software should be like pizza… cooked right then and there at the moment of use."

"You don’t want mass-produced industrial scale software. You want bespoke custom software made for you, that moment."

"Up until now, the economics of software have been conceived as fixed cost and then infinitely monetized."

"Once there are inference costs and custom creation involved, it really shifts. It’s kind of the non-Walrasian software regime."

@patrickc with @collision on @tbpn

[Gopal Goel @gopalgoel19]

For decades, software engineers were the only ones who could automate your job away.

AI now automates software engineers.

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.