adeptima

the article is interestingly made think more about the recent timeline since covid, sequential money printing bonanza followed by historical sacking of VC and all kind of money current AI bubble accelerated with faster job transfer to low income locations like India and overall “productivity gains” by the least competent corporate plankton with huge expertise devaluation

Using OBS only when it’s a must

Much happier with Cap for screencast recording https://github.com/capsoftware/cap

those corporate people rarely listen and live in their own universe and never waste a second to get leverage on each other

yes 500 usd gone in days, and what would you do if you want to get leverage on Anthropic?

probably walk away to whatever the second best option Copilot …

my speculation- i would surprise if Claude will win the deal back over time. however the longer Copilot and Deepseek or whatever stays the less like the reverse win is possible

for my cases, i suspect it was trained on closed source corporate saas repos. got plenty of evidence… for many other cases feels commodity

friend of mine told me Antropic turned off 200 usd a month subscription, refused to extend and switched to usage base for large cyberop vendor he works for

when this happened PR rate dropped 95% in the first day, thousands devs, managers started to panic and downscaling all AI first intiatives and cap 500 usd a month token usage . most tokens were burned in the first day of the week.

as management got pissed, M$ people managed to sneak in and sell Copilot with up 600 usd a month token usage per dev …

devs and devops are now the most unhappy about models switch and probably haven’t seen the impact of sucking entire code base in copilot. copilot is too slow for them too. addiction to claude code is clearly present. using personal software licenses and unauthorised soft is strictly forbidden

story is clearly not over yet ..

as for myself, i’m ready to pay up to 1k usd a month … if if … claude gives the edge… but if it becomes commodity im gone next day

very curious what other devs in corporations are experiencing. deep inside cheerleading for 2 tie token ecosystem - full price for corporations and subsidized for small shops and indie

same. got hundreds of specs started from architecture decisions

most system design pattern for large projects applicable to rust 1:1

as for skills, did similar research 3 months ago, and couldn’t find anything comprehensive …

except this link https://github.com/leonardomso/rust-skills/tree/master/rules

ended up asking claude for code review 3 time and logging best practices in markdown gives compound effect

as a heavy temporal.io user i was never really bothered with async tokio rust gotchas

https://github.com/temporalio/sdk-rust

python libs written in rust under hood is a good source of rustish domain specific best practices too … if you are ok to see lot of “unsafe” code and clever tricks

it’s on the correct path. i use rust for geo spatial and the gap with c, c++ closing rapidly or negligible in most cases

from https://github.com/pola-rs/geopolars/tree/main

Comparison with GeoPandas

Imitation is the sincerest form of flattery! GeoPandas — and its underlying libraries of shapely and GEOS — is an incredible production-ready tool.

GeoPolars is nowhere near the functionality or stability of GeoPandas, but competition is good and, due to its pure-Rust core, GeoPolars will be much easier to use in WebAssembly.

I personally use both, and keep using both. There are much more Golang job in the market now. Noone planning to ditch Go in my network or unhappy with it. Highload E-commerce, logistics, etc are way easier to write in Go IMHO.

Discover a very good niche for Rust - geo spatial analytics. Would not do it Go or Python. LLMs gave a huge boost to Rust too. Claude produce a very high code ... if designed right. Lot of feature complete libraries now.

Both will do fine

has anyone bothered to check the code, dependencies especially dockerfile and god forgive me performance of this project !?

the pain point presented correctly especially comparison … but what about remedy?

https://github.com/cloud-in-a-bottle/cloud-in-a-bottle/

If you are into geo spatial, worth to check on the same class project - SedonaDB https://github.com/apache/sedona-db

"SedonaDB is an open-source single-node analytical database engine with geospatial as a first-class citizen"

Apache License 2.0 https://github.com/apache/sedona-db/blob/main/LICENSE

MIT License https://github.com/duckdb/duckdb/blob/main/LICENSE

https://duckdb.org/docs/current/core_extensions/spatial/func...

Extremely happy user of Vite, Vitest, Rolldown, tsdown, Oxlint, and Oxfmt.

I do have lot of hardforked packages, and dont want to look back. Everything just works.

If you confused by the naming, start from Oxlint https://oxc.rs/docs/guide/usage/linter Rolldown https://rolldown.rs/

Did very little changes to tsconfig during past 6 months adoption

My day-to-day process - get the new package unless it some antd6, echart or some rendering engine or geo spatial lib, clean up with Claude, strict and unify type system and align it with my vite, tsconfig, oxlint tastes. The result - no need to follow libs bloat and supply chain attack issues. Easy to read, easy to fix.

exactly! allowlist or some sort of marketplace or app store like you like or not

appreciate all your work Hydra, Kratos and my favorite small RBAC lib - ory/ladon

the original sin of internet - it’s not secure, and for many it’s not the bug it’s a feature to make money or gain power. all nested layers to cover up previous fails. example - nonce, state, encryption bumps in oidc/oauth2.1

Mixed fealings cause the full context should include plans on both Authorization and Authentication flows at least withing Cloudflare ecosystem. No github examples

Anyway good start in the right direction from Cloudflare, yet still long way to go especially compare to the full Ory's offering its built on. Ory's Kratos handles identity, login, registration, recovery, MFA... https://github.com/ory

IMHO full scope should include plans on user store, SAML, multi-tenant org model. Good example - Zitadel https://github.com/zitadel has managed UI for orgs multitenancy, OIDC/PKCE supports, etc you can even partial glue RBAC to it

Subabase offers managed and opensource https://github.com/supabase/auth

Siding "MCP is dead, Skills forever" what bother me about all of them is planning to plug MCPs and rotate keys ... this start hitting the fan very soon

OAuth 2.0 Dynamic Client Registration (RFC 7591) https://datatracker.ietf.org/doc/html/rfc7591

https://modelcontextprotocol.io/specification/2025-03-26/bas...

Any comments greatly appreciated. Especially in multitenant saas and built-in "AI assistants" context

same experience. any good claude skills to ease the pain?

My expectations to dear fellow humans - more sophisticated personal insults (ex. give me your cute comments), a freudian slips, hidden messages and motives, first viewer experience with the next cool toy from the hype train, sharing all kind of insecurities, heavy f.. word if very dramatic first person experience happened, border line exposure to the insider info, sharing something your corporate HR gestapo wont appreciate but might help another guy on the line, "i knew the guy who actually did it" stories, motivational statement toward my non-native english, etc

->> ◕ ‿ ◕ <<--

real learning- copy paste the content and ask for “critical and constructive feedback and potential false narratives from industry professionals” to get 10x from it

https://chatgpt.com/share/695e125f-1254-800a-8661-d7a046f4c2...

Real tip - find someone who loves outbound, can create a funnel outside of Linkedin or convert traffic from Linkedin to something more reliable and can talk about numbers non-stop for hours.

Ex. I never did more than 1k whatsapp messages with 20% open rate in a month ...

Know a friend who is doing 190k MRR with 12k whatsapp messages open rate 40%-60% (no AI SDRs!, fake avatars, etc) and what to double it next year. All he wants to talk is outbound ... and how it will make rich and how it should cost no more than 20% revenue.

99,999% hates outbound with passion, want to dump on someone else, can't retain SDRs for more than 6 months, etc

> There are already public memos from large companies where leaders tell their staff that any request for headcount has to come with a justification for why an AI system cannot do the job

spot on! at my place - playwright + prompts instead of hiring QA. data analytic guy is gone ... noone is missing him

today's random quotes

- "AI isn't replacing jobs. AI spending is" ...

- "he job market in India has grown 9% in 2025, so far. 53 million in new jobs. I wonder, how many jobs came from U.S. companies being off shored?"

5 trilllion off the global IT bubble funded by VC money taken somewhere else poured into GPUs and data centers

look at number of linkedin profiles in US companies like Accenture in India .... 450 000 + ... feel really bad biggest transfer of head-counts from US, chatgpt just fuelled it

10+ years in Japan. The message here is much deeper from my perspective. “Let’s jump on the call” is not the solution. The guy was stripped off of his face. I love Japan for being human. Small business bar or restaurant with 3 tables. Not everything should be streamlined for a quick call solution… the process was pushed on his head. Google nemawashi decision making process

100% agree

Did research on accent, pronunciation improvement, phoneme recognition, kaldi ecosystem, etc … nothing really changed in the public domain past few years. There’s no even accurate open source dataset. All self claimedccc manually labelled dataset with 10k+ hours was partly done with automation. Next issue, model models operates in different latent space often with 50ms chunks while pronunciation assessment requires much better accuracy. Just try to say B loud - silent part gathering energy in the lips, loud part, and everything what resonates after. Worst part there are too many ml papers from the last year students or junior phd folks claiming success or fake improvements, etc

The article itself is just a vector projection in 3d space … the actual reality is much complex.

Any comments on pronunciation assessment models are greatly appreciated

QGIS is a gold standard to verify you tools works fine and data is in a correct format ...

if you are a web based first, you have even better options to build and extend

kepler, protomaps, maplibre-gl-js

https://kepler.gl

https://protomaps.com

https://github.com/maplibre/maplibre-gl-js

the rest can be found on great Qiusheng Wu’s (aka @giswqs) Geo/GeoAI tutorials channels and repos

https://www.youtube.com/@giswqs/videos

https://x.com/giswqs

but what really amazed me is how geo spatial support is growing inside of databases recently

https://duckdb.org/docs/stable/core_extensions/spatial/overv...

all mighty postgis https://postgis.net/docs/manual-3.5/postgis_cheatsheet-en.ht...

https://sedona.apache.org/latest/

https://geoparquet.org/releases/v1.0.0/

and many unlocked dataset compare to other industries

https://docs.overturemaps.org/getting-data/duckdb/

https://www.openstreetmap.org/

https://hub.arcgis.com/search

lot great webtools are comming for sure and you still can be 100% of most of your geospatial pipeline

p.s. want to extend the above list with self-hosted tools with minimum or none dependencies on paid APIs, and recommendations are greatly appreciated

miss it heavily! it could read code dumps and was superior for code analysis and todos

checked my network - no one is using GPT 5 Pro ...

any feedback is greatly appreciated!!! especially comparing with o3

same sentiments with an article author - gpt5 looks like a cost-cut initiative.

my personal feeling gpt5-thinking is much faster but doesnt produce the same quality results as o3 which were capable to scan through the code base dump with file names and make correct calls

dont feel any changes with https://chatgpt.com/codex/

my best experience was to use o3 for task analysis, copy paste the result in https://chatgpt.com/codex/, work outside and vibe code from mobile

Foursquare has another open source project worth noting on DuckDB - SQLRooms

https://sqlrooms.org/

“Build data-centric apps with DuckDB An Open Source React Framework for Single-Node Data Analytics powered by DuckDB”