Used handy all year, felt slow, didn’t catch ums or trailing words. Uses CoreML and apple neural engine, it’s lightweight, less errors, faster,

That’s brutal dude

I was also laid off at the start of this year (again) and currently implementing a full blown ERP for a complicated regulated trade. It is worth it for them but I can see big room for improvement and simplifying the process. The SaaS has been in business 15years and hasn’t had a major overhaul in a while

I did consider a startup attentive at the start of the year and decided against it.

here's a simple task. Collect all info from unstructured email signatures, 3 years of small business emails.

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.

which year are they from?

I bought them direct from PNY the week the RTX Pro 6000 was released. Prices are almost double now what they were then.

distribution. MacBooks are everywhere and already used by devs

taught mental math (abacus) to 3-15yr olds for 10+ yrs. A great teacher notices the gaps in the fundamentals and fixes those along with variants before piling on.

ello looks great, great work

a single leetcode tab is taking up up to 700mb of memory...

Who said it wasnt useful, dont listen to those people.

People who are applying to jobs and are tested with LeetCode problems to assess their skill level, despite the two not really being correlated or relevant for the position

As someone that gets very annoyed when having to do LeetCode in interviews...

Knowing algorithms, data structures and their memory and time complexities is very relevant for SWE. I've had teammates that didn't understand them and everything was fine until when it wasn't (scaling and performance issues).

Or, as I put it to a teammate: "Would you rather review the PR of someone that understands the difference between a set and a list or the PR of someone who doesn't?". This was after we interviewed a candidate with ~15 YoE, on paper, that didn't know the difference.

> Knowing algorithms, data structures and their memory and time complexities is very relevant for SWE

Agree with this; however knowing how to roll your own BFS/LRU/etc isn't -- in that case I'd rather review the PR of someone who understands how to leverage tested and known implementations than the PR of someone who decided to roll their own.

just the level of questions being asked seems to be high idk, just passed round 1 for big tech. Not feeling great about the rest.

main comment was a bit tongue in cheek

as I got into SWE 4 yrs ago, this was a big part of my job as a SRE/SDET and my next job came b/c of that SRE exp which was never used, so just became an SDET.

Now am laid off, and hard to find a job...

I'm sorry to read that.

Unfortunately it's an industry wide problem, and it touches many areas and levels of expertise. Some believed that AI can drop costs and compressed job spaces.

It starts to bounce off but it's not back to - what I could fall - normal baseline.

yeah. Was always the jr on a team full of seniors/staff. Always switching context, so many verticals and systems.

True startups need only senior+ and big ones don't wanna interview often.

> Some believed that AI can drop costs

And it did! For companies, not for you.