cmdtab

Not just cheaper in terms of token usage but accuracy as well.

Even the smallest models are RL trained to use shell commands perfectly. Gemini 3 flash performs better with a cli with 20 commands vs 20+ tools in my testing.

cli also works well in terms of maintaining KV cache (changing tools mid say to improve model performance suffers from kv cache vs cli —help command only showing manual for specific command in append only fashion)

Writing your tools as unix like cli also has a nice benefit of model being able to pipe multiple commands together. In the case of browser, i wrote mini-browser which frontier models use much better than explicit tools to control browser because they can compose a giant command sequence to one shot task.

https://github.com/runablehq/mini-browser

I would stay away from any startup for production workload.

Made the mistake. Never again.

Fly, railway, render. Avoid. All have weird show stopper bugs for any reasonable scale and you will fight against the platform compared to using big cloud.

And big cloud works better even in cases where PAAS is advertised as simpler (google cloud run and build is as easy to setup as railway but you have much more knobs to control traffic, routing, roll out etc)

Runable | Software Engineer | Bangalore | 60-120K USD depending on the candidate

https://runable.com is an AI suite for everyone. You can create decks, reports, documents, designs, websites etc by just describing what you want.

We are looking for exceptional engineers to join us as we scale. We already process 100 billion+ tokens monthly and handle billions of requests monthly.

Send your best work to [email protected]

We don’t do DSA, leetcode etc and have a very hands on approach to interviewing

Pretty much every x non-political/celeb account with 5K followers+ is a paid influencer shill lol.

Welcome to the internet

Yeah. If my claude code usage was on API directly, it would be in thousands. I know this because I have addon credits on top of the max plan because I run into weekly limits often

I saw your example and it was a simple cli tool. Of course you can have claude make commits effectively to it!

We want to hire engineers who really pay attention to details and great product experience but it’s quite rare in practice. Hiring is super hard.

If any open AI devs reading this comment section: is it possible for us to get api access at runable.com ?

Runable | Bangalore, India | On Site | Software Engineers | Full Time & Internship | runable.com

Runable is a general purpose AI agent for any task you can think of. You can create presentations, websites, docs, reports, videos, images, use over 3000+ services, control remote browsers, etc.

I’m looking for savvy people with potential to grow quickly who wants to work at a startup. If you want to take ownership, learn and be a founder in future. This is the place for you.

Shoot me an email with your github or portfolio: [email protected]

Runable | Bangalore, India | On Site | Full Time & Internship | runable.com

Runable is a general purpose AI agent for any task you can think of. You can create presentations, websites, docs, reports, videos, images, use over 3000+ services, etc.

I’m looking for savvy people with potential to grow quickly who wants to work at a startup. If you want to take ownership, learn and be a founder in future. This is the place for you.

I tried flight control but it was a bit buggy and rough. My docker image worked differently on their platform compared to other PAAS.

Lot of issues with slow AWS provision or missing APIs on AWS side so it would take hours to delete resources created by them.

I paid, booked a flight etc for having a 360 scan and giving my fingerprint just to be able to apply for a US visitor visa (which could be rejected but they would still keep all your information)

They inherit all the limitations of DO. For example, if you want to do anything that requires more than 6 TCP connection. Every fetch request will start failing silently because there is no more TCP connection to go through. This was a deal breaker for us. Their solution was split our code into more workflows or DOs.

You are limited to 128 MB ram which means everything has to be steamed. You will rewrite your code around this because many node libraries don't have streaming alternatives for things that spike memory usage.

The observability tab was buggy. Lifecycle chart is hard to understand for knowing when things will evict. Lot of small hidden limitations. Rate limits are very low for any mid scale application. Full Node compatibility is not there yet (work in progress) so needed to change some modules.

Overall, a gigantic waste of time unless you are doing something small scale. Just go with restate/upstash + lambdas/cloud run if you want simpler experience that scales in serverless manner

Temporal required re-architecting some stuff, their typescript sdk and sandbox is bit unintuitive to use so would have been an additional item to grok for the team, and additional infrastructure to maintain. There was a latency trade off too which in our case mattered.

Didn't face any issue though. Temporal observability and UI was better than DBOS. Just harder to do incremental migration in an existing codebase.

Needed checkpoints in some of our jobs wrapping around the AI agent so we can reduce cost and increase reliability (as workflow will start from mid step as opposed to a complete restart).

We already check pointed the agent but then figure it's better to have a generic abstraction for other stuff we do.

Recently moved some of the background jobs from graphile worker to DBOS. Really recommend for the simplicity. Took me half an hour.

I evaluated temporal, trigger, cloudflare workflows (highly not recommended), etc and this was the easiest to implement incrementally. Didn't need to change our infrastructure at all. Just plugged the worker where I had graphile worker.

The hosted service UX and frontend can use a lot of work though but it's not necessary for someone to use. OTEL support was there.

I find it interesting how Americans roll over open corruption now

Runable | ONSITE - Bangalore | Full Time | https://runable.com

Runable is building general purpose automation agent to automate anything digitally possible.

We are hiring for backend/platform focused full stack engineers, video editor and a community manager intern.

https://runable.notion.site/Careers-at-RUNABLE-20dfb5780e748...

Apply. We have a simple take home for engineering role unless you have a solid github or stuff you built we can check.

Task: Build a simple orchestrator that runs a coding agent in the background inside firecracker instances with novnc support.

I think providing examples and sample code is better than tying your API to AI sdk.

Due to how fast AI providers are iterating on their APIs, many features arrive weeks or months later to AI SDK (support for openai computer use is pending since forever for example).

I like the current API where you can wait for an event. Similar to that, it would be great to have an API for streaming and receiving messages and everything else is handled by the person so they could use AI sdk and stream the end response manually.

Pretty much was my first question if there was support for streaming events. Any way we could be beta tester? ༼ つ ◕_◕ ༽つ

There is no contrast. Wow! Why?

Stealth | Backend and AI Engineer | Bangalore | up to 100K USD + significant equity

Hi HN, I'm one of the founders. We're building a general-purpose automation platform to let your grandma automate anything a person can do online. Think manus.im, but taken further.

We're looking for an experienced backend and applied AI engineer to help scale our systems, ship new features, improve agent reliability, and optimize costs. We spin up persistent computers per chat, sync data across hundreds of them per user, and our current AI architecture is very expensive. You will optimize this.

You need to be comfortable with networking, a system programming or scripting language (we use Go, Python, Rust, and TypeScript), and orchestration tools like Firecracker, Docker, and Nomad. Experience with LLMs in production is plus.

It’s early stage, so expect an intense work culture and wearing many hats.

Send me your GitHub, portfolio, or something you’ve built with a short note on your view of the space.

(see email and website in the bio)

Stealth (AI) | Backend and AI Engineer | Bangalore

We’re building a general purpose automation platform to allow your grandma to automate anything a person can do online.

Think manus.im but repeatable and reliable.

If the idea excites you and you want to work on tough problems like optimizing how to spin up millions of computer instances with synchronization cost effectively, figure out how to package android on firecracker, create new DSLs or find new ways to optimize context and reliability of AI agents, shoot me an email with your github or portfolio. (See bio)

We work autonomously with engineers taking product decisions and very future leaning team.

I check multiple different apps to order food or taxi services every day looking for cheapest price and availability. It’s a pain and I don’t like the decision fatigue.

I thought why not automate this and turn it into an app so I built this MCP server.

I’m not using vision at all (mostly a fallback) and parsing the accessibility tree into something LLM can understand.