Opus directs and starts haiku/sonnet subagents. Much more efficient than opus reading it all.
Without this explicit direction, Opus burned through usage to create complicated regex parsers & 8 excel sheets.
Seeing more and more people leave great big tech jobs or very smart new grads start AI companies that seem to hit $10m, $50m, $100m ARR incredibly quickly.What’s actually going on inside these companies?Are they profitable? How much are they burning? Are they really growing that fast? And are founders/employees building for the long term or basically aiming for an acquisition?Would be...
ello looks great, great work
main comment was a bit tongue in cheek
True startups need only senior+ and big ones don't wanna interview often.
Now am laid off, and hard to find a job...
Only had basic python knowledge going in (new grad mech engineer on pumps/pipes). built on flask / python / heroic / GitHub.
Small team, some awesome people. Changed my life. for now, back to being laid off.
80%+ done MVP, for small business use & personal use. First go at full stack development with AI. useful features around voicemail, notifications, and spam prevention (whitelist, blocklist). Built to be robust, secure and available.
2. Intelligent understanding for videos, No MVP yet. Have an interface and use-case in mind that allows people to use understand videos with rich context quickly
currently on pause for leetcoding but I think there's potential here.
AI is not a feature of the product. GTM will be interesting, have some good ideas.
It's really up to you to be clever. I've never used Js/Ts/node/these apis etc. I started programming as a non-cs engineer to automate stuff and then got into SWE. This is truly an amazing time.
Does your software do anything fancy or is mostly for organization, good workflow, and being the central source of truth?
Did it require a lot of development after getting a few customers on boarded?
are you a 1 man show?
Instead of maintaining a catalog of tools like read_file, grep, list_dir, they just expose one run(command: str) tool and let the LLM compose Unix pipelines. It has access to one tool for shell commands: run(...)
I think you could use mcp-shell , written in Go instead of python subprocesses
A post[1] from the Manus ex lead engineer on r/LocalLLama got me thinking about improving the tooling these agents have.Saw CC will use rip-grep if installed, but it won't install it by default for you.Was wondering if using tree-sitter could reduce token usage, increase speed and better output. Or does this reduce the quality b/c CC now doesn't have the entire glob in memory?Want to ask the...
Also, depends on who target user is.
AI can be used to build deterministic software
AI makes a ton of bad decisions too and it's up to you to work with it. If I had the knowledge of the dangers hidden in things I'm developing, I'd move even faster
Was able to make a great full web app, which I think is hardened for prod but it had to be refactored to do so. Which it happily did.
It's really about asking the right questions, breaking down tasks, and planning now. I'm going to tackle a huge project, hoping to share it here.
Hola,Got laid off again this week — number four, if we’re counting. Two as a mechanical engg in 2020, and now #2 as a SWE.I’m back on the grind with Leetcode, getting ready for a FANG interview coming up. Have already extended it a month, will extend another couple months. Don't get many chances so I can't blow it.In the meantime, maybe time to dive into an AI hackathon in SF.My usual...
2 devs on teach team were truly 10x before AI; each has 15-25 yrs of exp on very small teams, great at so many things: code - infra - linux internals - networking - incredible debugging skills - keep up with good practices - great docs - and desire to do things the "right way" - IQ + horsepower.
The other good senior devs may do some of those things.
My title is Senior 2 b/c I negotiated a raise during interview, but am mid-level at best. Now laid off.
I've just spent some time with Opus to extend basic metrics in a static language, with guides, where to look, what set of metrics etc, it's making quite a few mistakes for not a hard task...
looked more into swing vision and there's so much to it, looks like a great tool
I've taught 100s of kids mental math (abacus/soroban) for ~10 years, well over 5000 hours. Taking kids from beginners to very high level required of me to get creative with teaching styles, gamification, engagement, and ultimately helping kids build grit and to enjoy the process. In person for 5 years and a few years remote before ultimate closing that chapter.
Would love to do integrate it professionally :)
Would a masters in CS / Mechatronics / Electrical Engg open up doors to jobs like this?