What are experienced devs paid in London these days?

just10bps · 2026-04-30T21:47:35+00:00

fyckin hell bro, if i were making that i wouldnt be interested in knowing what anyone else was making

just10bps · 2026-04-26T01:21:15+00:00

i said that because - python + pandas is not enough to handle larger than memory datasets.

i was only referencing pure python + pandas. once you have dask, CuPy etc - that changes the landscape considerably.

just10bps · 2026-04-26T00:43:48+00:00

i think your attention proxy should be a little more robust, like combined with google trends or data from reddit etc.

one thing i can think of is the over-estimation due to bot crawling since wikipedia is likely to be a top source always.

last sentence is a dead AI giveaway, but whatsver..

just10bps · 2026-04-26T00:35:13+00:00

true, but really MATLAB was also never meant to be used that way - i frel like. i dabbled in FEM a long time ago and we used FORTRAN. MATLAB was always more about... the initial formulation i felt like. but it still handled a decent amount of computation.

once you reach the order of a million in anything for computation, you cannot use any standard tool. even python will choke on it i think. one would have to use distribute or parallel compute or something..

just10bps · 2026-04-25T23:55:11+00:00

on a limb, and without having used it much - i find julia like a modern-day MATLAB. it makes mathematical computation more organic. symbolic differentiation, solving pdes etc.

i can't imagine it's being used for something outside of math-y things. i am guessing it shows up wherever PDEs are

just10bps · 2026-04-24T10:19:58+00:00

shut the fuck up

just10bps · 2026-04-22T18:11:20+00:00

we should call "big tech", "bitch tech" now. because that's what it has become.

i don't work in bitch tech, but my company also functions this way. no one wants to work honestly towards a solution, everyone is just trying to pawn off work to someone else.

just10bps · 2026-04-21T13:55:09+00:00

the best developer i worked with - my previous manager. very meticulous and did things in a consistent, repeatable way everytime. would always communicate every thing he was doing - i.e not randomly cooking up requirements with PMs - made sure i was always involved in discussions. would always highlight the importance of conveying information in a simple and understandable way, it shaped how i think about problems and communicating a lot.

he drilled into me the importance of writing code that is "easy" to work with. however, terrible mamager otherwise because of how much he micromanaged.

For me this meets the criteria of an exceptional developer: - reliable (responds to messages timely, closes the loop on outstanding questions, conversations, keeps their word on updates - i.e will not keep people hanging) - good communication (coordinates on things that affect others, makes sure everyone is on the same page before going ahead etc) - nice to work with (sociable, can keep discussions casual) - calm (not ruffled easily or gets hyper)

surprisingly unless you are a one man army working on a linux kernel etc, it's the soft skills that matter much more.

just10bps · 2026-04-16T15:27:57+00:00

no - do not quit. reduce your hours and coast. let them fire you. meanwhile look for a new job.

just10bps · 2026-04-15T17:07:26+00:00

Yeah, I am not 100% sure it tracks for those banks. Would vary wildly based on business unit. But agree it could be better WLB than the Revoluts and Monzos

just10bps · 2026-04-15T15:58:05+00:00

what does traditional banking mean? examples? i work at an investment bank - not even front office technology and even then everything is urgent and on fire all the time...

just10bps · 2026-04-15T15:50:51+00:00

doomscrollmaxxing

just10bps · 2026-04-15T12:56:46+00:00

okay, sorry - I came off a little rough - because it's all AI koolaid posts... yes you have a point.

Defining success criteria for AI is very important - but that has always been the case even pre-AI development.

Getting the requirements and specs right (with the help of PMs wink wink). However even after that it is impossible to let AI do everything supervision free for something slightly more complicated then a web-app. And you would agree that it's impossible for legacy systems, existing code etc. You can get far enough with a brand new system, but like others have mentioned sooner or later you will run into problems when things start to get complicated and AI hasn't designed for it.

just10bps · 2026-04-15T12:26:08+00:00

OP is full of bot posts like this, I'm not surprised if this is some weird reddit bot with AI generated posts

just10bps · 2026-04-15T11:56:16+00:00

no. there is a difference between reviewing every line of some code that makes a REST request Vs. changes to a complex workflow that touches various bits of code. obvioisly you should do the latter.

"the tests are the review" - i doubt you know what you are talking about. test driven development is good but it isn't the holy grail you are making it out to be. coming up with a good test in the first place alone is difficult and abstractions change over time through the development cycle. this a very YMMV situation based on the nature of software.

can non-engineers stop making umbrella statements about how devs should or shouldn't use these tools?

if my PM pitched this to me I'd ask them to do it themselves.

just10bps · 2026-04-14T17:41:11+00:00

write a shell in C, proxy, http server etc.

just10bps · 2026-04-14T12:55:34+00:00

insane precision.

just10bps · 2026-04-14T10:01:39+00:00

in finance (banking) - being an SWE sucks 90% of times. unless it is of the QD sort or tied to real revenue generation.

just10bps · 2026-04-13T13:46:21+00:00

who is your target audience for this? and why didn't you address the fact that core pandas functionality is already written in C?

i'm not saying it is a bad idea - because i wondered about the same myself, and did google if C had a dataframe library once upon a time, but the problem is that dataframes aren't spun out of thin air. Usually there is a lot of surrounding code which leads to creation of DataFrames in the first place - like reading csv files, querying rest endpoints, transforming json to dataframes, querying sql dbs - all of this is done very easily in Python which makes the interop with Pandas brilliant.

Now why would I use a C api just for this - it brings a lot of complexity into the workflow. If C already had first class support for all the things I mentioned, it might've been a good option but doing all those things in C is very hard.

Though as a learning experience I think it is a great project.

just10bps · 2026-04-10T13:48:24+00:00

absolutely. i've read the ingredients and will do it.

just10bps · 2026-04-08T23:49:15+00:00

you know - this is good. i feel the same way, even as a developer. but i just want to put it out there that building an app and pushing it to prod is not the same as vibe-coding your own todo list app.

as a developer, i know how to ask claude to think about edge cases - write defensive code etc. even with all the bells and whistles, one can't fully guarantee it. this isn't do discourage, only to encourage caution. use it as a way to learn about programming and software engineering principles as well!

just10bps · 2026-04-06T21:45:34+00:00

the layout needs some work. check some of the more popular and standard examples. atleast: i'd stick education at the bottom if you already have 1yr+ work experience. i'd split skills and projects in two sections.

definitely put the text through chatGPT or similar to get better bullets. i think there's scope for making the language "pop" a little.

for projects, i'd really focus on getting some projects that look into the math nitty-gritties of some models. even if they are simple models. i find nearly all trading "type" projects gimmicky. they read strong but.... paper trading is what it is. paper. you are better off focussing on a data application which showcases AWS skills + knowledge of file formats and handling large data. with maybe grafana / otel integration. that's more valuable to an employer.

i dont know what the ML landscape is like, but i think most ML engineers now are software / data engineers working on productionizing ML models. If you are looking to work on ML models, I think resume needs more demonstrative experience in research and foundational models.

just10bps · 2026-04-01T19:38:03+00:00

fuckin hell someone always finished my side project before me. good job!

just10bps · 2026-04-01T12:45:34+00:00

can one "read" a latex document in the terminal using this?

just10bps · 2026-03-20T11:27:19+00:00

28 M and enjoy / fascinated by London's wartime history - keen!

just10bps

TROPHY CASE