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

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 smart people here, what in your workflow that has had a meaningful impact. Currently using CC and codex

[1] https://www.reddit.com/r/LocalLLaMA/comments/1rrisqn/i_was_backend_lead_at_manus_after_building_agents/

Comments URL: https://news.ycombinator.com/item?id=47510127

Points: 2

# Comments: 1

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.

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 strategy’s pretty simple: fire off applications, tap the network (not much in tech), and take it one move at a time.

The first transition — from Mech Eng to SWE after that 2020 layoff — was wild. I’d already started rebuilding a web app with the Spotify API — Python, Flask, Heroku, OAuth, the works. Entered a hackathon, technically “won” because no one else finished — my kind of win.

Personal project opened the door to a remote gig in Europe, from Canada, as a QA Automation Engineer. Moved into DevOps and junior SRE work… until the company went under. Landed another remote role a few months later.

And now? Back to the drawing board — but with a bit more experience.

How do you approach this?

Comments URL: https://news.ycombinator.com/item?id=47264440

Points: 2

# Comments: 1

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.

looked more into swing vision and there's so much to it, looks like a great tool

I'm very interested in working with DDOG. Would love to quickly chat to see if I'm a good fit and what I can do over the next few months to become a stronger candidate.

my summary: I have 3 years of reliability engineering as a mechanical engineer + 1 year in tech (python + aws + kubernetes + ci/cd)

Strong communication skills, growth mindset, entrepreneurial experience :)