Kaushik Gopal

Kaushik Gopal

@kau.sh

🌐 https://kau.sh 👨‍💻 Principal Engineer @instacart + Caper 🛒 🎧 Fragmented podcast 🤖 Google Developer Expert

1.4K followers507 following434 posts

Everyone says they're building an AI-native company. But what does that mean? Automating what you're already doing with AI is not enough. A truly AI-native company rethinks every role and tears down the walls between them.

View full thread

- Designers don't just land up with Figma mocks: they prototype on real Android 12 devices 😜 to test how those animations and UX actually hold up - Data scientists don't just wait for real data: they run simulations up front, generate synthetic data, and build intuition around which A/B option wins

Everyone says they're building an AI-native company. But what does that mean? Automating what you're already doing with AI is not enough. A truly AI-native company rethinks every role and tears down the walls between them.

- QA doesn't just file bugs: they point agents at them and file the fixes too - PMs don't just ship a 70%-done PRD and wait for eng to hit the edge cases: they point agents to walk the real code, surface those cases, and flush them out with test cases

if you work at a slightly larger company and you're not already playing with open models, building a sense for when to reach for which, you're going to have a lot of catching up to do soon... 3-4 times now I've liked GLM 5.2's answer more than 5.5 xhigh or Opus 4.8.

bonkers! even if the bar were just 80% as good as the leading models, the cost alone makes open models an easy call, especially as they build out their loops. approaching better results? the tide, 'tis a-shifting, friends...

I spent sometime on loop engineering. Some notes... Two types of loops: 1️⃣ one-shot loops (solved) and 2️⃣ autonomous I (personally) don't think "let the agent merge" is the right bar yet. Loops are better at producing reviewable stuff you still sign off on.

View full thread

Loops need bounds (a loop with no max turns is ~= a while(true) in prod) and agents need to be told "do not absorb uncertainty." To make this all financially feasible - tier your models. Cheap local for the always-on stuff, frontier only when it counts.

I spent sometime on loop engineering. Some notes... Two types of loops: 1️⃣ one-shot loops (solved) and 2️⃣ autonomous I (personally) don't think "let the agent merge" is the right bar yet. Loops are better at producing reviewable stuff you still sign off on.

Every loop I've built so far ended up being a little bespoke. It's hard to find a single template for all the types of loops. I think that's actually good. It's probably going to be the work software engineers have to actually spend time "engineering".

I don't want to paint myself into any single major AI lab corner yet, so I've been kicking the tires on open source agent harnesses. opencode has become my daily driver. I took some time to write up intermediate+ user tips that show where it really shines.

Really hoping open source harnesses get more traction and push the competition forward. I know I'm super happy with OpenCode + OpenChamber right now, and it'll be hard to move away from it at this point. Full post here: kau.sh/blog/opencod...

kau.shOpenCode power user tips - Kaushik Gopal's WebsiteIn this post, I’d like to talk about some power user tips for OpenCode - an open source, model agnostic harness that more people should be using. Hopefully some of the advanced use cases convince you ...

maybe it’s the optimist in me but i feel there’s a reckoning coming where engineers are going to actually be evaluated by how effectively they use AI and it’s an actual trait companies start to look for, in interviews. tokensculpting = !tokenmaxxing

June update of AI model choices Kimi 2.6 has been the blow away surprise for me; often it keeps pace with GPT-Medium. Also OpenCode + OpenChamber is another sleeper hit. This harness combo is allowing me to do a lot more. Full post @ kau.sh/blog/ai-mode...

AI model choices as of today! kau.sh/blog/ai-mode...

i know it’s getting mixed reactions but i personally love the music from #TheMandolorianAndGrogu to see how big a swing it is from the established forms (big John Willas fan as well) you should stay through the credits (also something i wish more folks did) and hear the range.

this is fantastic. particularly like the translating of technical words and interspersed lang detection India 🇮🇳 as folks might (not) know has ~120 distinct langs + 19500 dialects, so this is a particularly fascinating and important problem to solve there.

youtube.comAI-Dubbed IIT Madras Professor's Lectures in Indian Languages: Sarvam StudioYouTube video by Sarvam
OpenAI {bot}@openai.xmirror.bot

Voice agents are getting more capable. Here’s what’s new: • GPT-Realtime-2 for voice agents that reason and take action • GPT-Realtime-Translate enabling translation from 70 input languages into 13 output languages • GPT-Realtime-Whisper, making transcription even faster

/btw is one of the most under-rated claude code commands, that other harnesses should straight up steal

when generating code is cheap, the spec starts to feel more valuable. i keep thinking about my own tools: usbi went from shell → Go → Rust → .kts. Podsync went from Python → Rust. implementation changed rapidly but spec stayed the same

kau.shAgents are the new compilers. Specs are the new code. - Kaushik Gopal's WebsiteLinus Torvalds recently said1 AI will be to code what compilers were to assembly — freeing us from writing it by hand. Around the same time, I talked with Jesse Vincent (creator of one of the most pop...

introducing "Agent Kombat" take one prompt or plan and turns it into a planning debate between Claude Code and Codex. the agents produce independent plans, then they argue, a judge picks the stronger plan & writes the final plan you end up with a much better plan in the end kau.sh/blog/agent-k...

kau.shAgent Kombat - Kaushik Gopal's WebsiteMost multi-agent coding setups I see today look like task parallelism. You split the work, hand each piece to a different agent, and merge the results at the end. That is useful. I do it too. But I’ve...

Kaushik Gopal reposted

This week @kau.sh and I had the pleasure to chat with Mitchell Hashimoto on the pod🎙️! Refreshing to hear someone of his caliber bring such a grounded perspective to agentic coding. We're super proud of this one!

Duck Droid@fragmentedpodcast.com

🎙️ Our first guest in the AI series is the legend @mitchellh.com 🎙️ We covered a lot of ground and learned a tonne from him: 👻 Ghostty's internals and why tmux & certain shells strip its best features. His path from AI skeptic to cautious optimist.

I look up to @mitchellh.com as one of the best developer voices today.this ep. nearly broke me to edit-every 10s was a 💡 moment and I kept going "nope, can't cut that either." Can't thank him enough for being so gracious with his time.proud @fragmentedpodcast.com moment for me & @iurysouza.dev

Duck Droid@fragmentedpodcast.com

🎙️ Our first guest in the AI series is the legend @mitchellh.com 🎙️ We covered a lot of ground and learned a tonne from him: 👻 Ghostty's internals and why tmux & certain shells strip its best features. His path from AI skeptic to cautious optimist.

Software engineers are basically becoming Harness engineers. Mitchell Hashimoto coined this term in his popular post detailing out his AI adoption journey. OpenAI then wrote a whole post with even more dtls on how they’re thinking about it and making systemic changes. kau.sh/blog/harness...

kau.shWe are becoming Harness Engineers - Kaushik Gopal's WebsiteThe role of a software engineer is shifting. Not toward writing more code but toward building the environment that makes agents reliable. Think about what you actually do with Claude Code or Codex tod...

So you’re an android dev and got 4 worktrees going, with gradle daemons roaring and frying your machine … wdyd? you go to the ☁️ with background agents ! listen to the newest episode to find out more.

Duck Droid@fragmentedpodcast.com

Karpathy's goal for agents: maximize how long they run without intervention. While individual speed goes up, "system" speed doesn't (the false summit ⛰️). Listen to Ep 309 — Background Agents: fragmentedpodcast.com/episodes/309 where we resolve this tension.

this one was fun to make. @iurysouza.dev and I took a crack at explaining how image models (stable diff.) work in ~20 minutes. building an intuition around AI is starting to matter a whole lot and that starts by understanding the mechanics. hope you get as much out of it as we did making it!

Duck Droid@fragmentedpodcast.com

Our LLM explainer (ep 303) got pretty popular, so we thought we'll follow up with the natural progression - How do image models work (in 20 minutes). also... what does Michalangelo have to do with stable diffusion models? 🤔 Listen to ep 308 to find out fragmentedpodcast.com/episodes/308

Lots of "I built this with AI" posts lately. Here's one where I actually enjoyed the building part. Introducing PodSync (for editors): a podcast alignment tool (uses VAD, MFCC fingerprinting, x-correlation) AI helped me 👨‍💻 it in Rust but yrs of aligning tracks 👂helped the algo: kau.sh/blog/podsync

kau.shPodsync - I finally built my podcast track syncer - Kaushik Gopal's WebsiteI host and edit a podcast1. When recording remotely, we each record our own audio locally (I on my end, my co-host on his). The service we use (Adobe Podcast, Zoom, Skype-RIP) captures everyone togeth...

i know cmux is the rage but a highly customized tmux still feels 👑 for power users. it's quicker for me to get a sense of the sessions and windows just by looking at them in one shot (ofc they're completely rename-able) updates or alerts in the session? the panes light up.

and it's even faster for me to switch windows/sessions with an fzf powered window switcher. i simply type the name of the thing i'm doing and i'm popped right in.

Here's my list of reasons for using OpenCode 1. Switch between models on the fly 2. client-server architecture (a.k.a built-in remote control) 3. Subagent + mode features 4. Opinionated UX 5. “Highly” customizable via plugins kau.sh/blog/opencod...

This is the real work that teams need to put in, to get the best results from their AI coding agents. listen to our latest episode on Harness Engineering.

Duck Droid@fragmentedpodcast.com

OpenAI spent 20% of every week cleaning up AI slop from their own coding agents. So they built a "harness" shaping the agent's environment so the slop never ships in the first place. @kau.sh & @iurysouza.dev talk about "Harness Engineering" in the latest ep. fragmentedpodcast.com/episodes/307/

i like a lot of the new tmux-ish emulators like cmux but the smoothest workflow i've found is just using ghostty & one main tmux session. ☝️ one window for each task i'm working on with name "i" recognize quickly. then use fzf to search the tmux window list pane & switch ⚡

love the analogy that Iury gave - think of your AGENTS[.]md like the constitution of your codebase! we also go into an important paper that tries to answer the question that we've all had at some point - are these AGENTS files we're all meticulously creating, even worth it?

Duck Droid@fragmentedpodcast.com

Are AGENTS[.]md files even useful? There’s finally a paper asking the obvious question. @kau.sh and @iurysouza.dev get into the paper, the sync problem, and the small amount of discipline required to stop your agent setup from turning into a mess. 🎧 fragmentedpodcast.com/episodes/306

not sure it's a good thing (yet) but i've started treating my @obsidian.md vault as my (private) persistent memory. i go back and forth with an agent to research/learn, then dump "our" learnings into a note. to refresh my learning, i ask the agent to read the note and then resume

i still actively read and curate what goes into my obsidian notes cause it's sacred to me. but i worry about losing those extra 🧠 connections that happen when you actually type or write out the notes. 🤔 on the flip side, i'm consuming & learning way more with this approach.

if you're dying to try /remote-control with claude code, you should really try opencode, which is almost the exact same thing (but imo a simpler execution) !

opencode is basically openclaw for coding. an interesting focus area in the world of agent orchestration is "access fluidity". how easy is it to reach the agents doing the work on your machine - from your phone, terminal, IDE, or browser? kau.sh/blog/opencod...

Kaushik Gopal reposted

@kau.sh and I bring you some agentic coding goodies on the pod's newsletter. Check it out!

Duck Droid@fragmentedpodcast.com

No episode this week dear listeners but fun newsletter with that story and 10 promised tips from @iurysouza.dev and @kau.sh buttondown.com/fragmentedca...

This was fun for both of us! We share some of how the fragmented 🌭 is made + Tips from @iurysouza.dev and me, and a crazy way we used AI to solve very real audio problems 😉.

Duck Droid@fragmentedpodcast.com

No episode this week dear listeners but fun newsletter with that story and 10 promised tips from @iurysouza.dev and @kau.sh buttondown.com/fragmentedca...

opencode is basically openclaw for coding. an interesting focus area in the world of agent orchestration is "access fluidity". how easy is it to reach the agents doing the work on your machine - from your phone, terminal, IDE, or browser? kau.sh/blog/opencod...

kau.shAgentic Fluidity - OpenCode is OpenClaw for coding - Kaushik Gopal's WebsiteOne of the reasons OpenClaw got so popular was how fluidly you can chat with and operate your agents. Pull up your phone, send a quick message on WhatsApp, and you’re in business. As we focus more on ...

it's tempting to think of it as just an open-source Claude Code/Codex variant. it's def. more ! built on a server-client architecture, it makes hopping between mobile, desktop, and web super easy.

new episode is out! spot the easter 🥚? recent models have shown massive improvement owing to clever use of "modes" and subagent dispatch. it really clicked for me after chatting with @iurysouza.dev listen to improve your fundamentals! (not just tactics).

Duck Droid@fragmentedpodcast.com

Master subagents and your AI coding sessions stay sharp for hours with clean results. Under the hood though? they're just a tool call. One model prompting another in a scoped context. 💡 New ep breaks down what they are, when to spawn them, and when not to. fragmentedpodcast.com/episodes/305/

Kaushik Gopal reposted

🎙️Check out the new @fragmentedpodcast.com episode on subagents! They can be a huge unlock once you understand how it all works and you can get real benefits without having to a swarm them. @kau.sh and I built an RTS mental model for how they work (yes, we did that). Check it out!

Duck Droid@fragmentedpodcast.com

Master subagents and your AI coding sessions stay sharp for hours with clean results. Under the hood though? they're just a tool call. One model prompting another in a scoped context. 💡 New ep breaks down what they are, when to spawn them, and when not to. fragmentedpodcast.com/episodes/305/

I used to love Keynote for my slide decks but I've since become a full iA presenter convert (from the folks at iA writer). tastefully chosen constraints and display, all with the power of markdown.

agent skills are the most powerful construct for AI coding today. it's the quickest way to get better results with less context bloat. but with great power comes responsibility... they can become a prompt injection vector. this episode is a crash course on agent skills! 🎧

Duck Droid@fragmentedpodcast.com

Everyone's talking about OpenClaw (Clawdbot) right now. But what makes it so extensible? Agent Skills! modular SKILL mds that teach an agent how to do anything. We do a deep dive in episode 304 on when to use them, how they work, and how not to get pwned. 🎧 fragmentedpodcast.com/episodes/304

Kaushik Gopal reposted

Everyone's talking about OpenClaw (Clawdbot) right now. But what makes it so extensible? Agent Skills! modular SKILL mds that teach an agent how to do anything. We do a deep dive in episode 304 on when to use them, how they work, and how not to get pwned. 🎧 fragmentedpodcast.com/episodes/304