spprashant

I only just started using it at work in the last month.

I am a data engineer maintaining a big data Spark cluster as well as a dozen Postgres instances - all self hosted.

I must confess it has made me extremely productive if we measure in terms of writing code. I don't even do a lot of special AGENTS.md/CLAUDE.md shenanigans, I just prompt CC, work on a plan, and then manually review the changes as it implements it.

Needless to say this process only works well because: A) I understand my code base. B) I have a mental structure of how I want to implement it.

Hence it is easy to keep the model and me in sync about what's happening.

For other aspects of my job I occasionally run questions by GPT/Gemini as a brainstorming partner, but it seems a lot less reliable. I only use it as a sounding board. I does not seem to make me any more effective at my job than simply reading documents or browsing github issues/stack overflow myself.

He is re-building a company that he himself built less than 3 years ago?

I like the whimsy. It helps lighten up my mood sometimes.

Unrelated, for me, Claude's most annoying feature is its existential urge to start implementing changes as soon as possible.

The account handle is TechLayoffLover. Make of it what you will.

sidenote: Those Grok rankings in arena dot ai don't make sense. The avg rank for grok 420 seems to be ~10 but the overall rank puts it at 4 right behind opus and gemini.

I d like to hear more about people who have jumped onto large codebases and were instantly productive. I see a lot of emphasis on documentation and comments, but in my experience they get stale real fast.

Just uninstalled the app and canceled subscription. OpenAI can't justify their insane valuation without an user base. Especially when there are capable models elsewhere.

People exist to prop up massive shareholder value and justify insane capex.

Right. How many people actually want a remotely monitored robot collecting personal data, that will likely also require a hefty monthly subscription?

I think it proves that you could have valid criticisms about the viability of the product but markets are often irrational. Bitcoin is probably the most blatant example, a product which has close to zero utility but is currently has a market cap of 1 point something trillion.

I have seen this post before. I don't know what exactly they do, but that's an extraordinary list of products to be managing. I hope they are making enough revenue to cover those outrageous costs.

That's not how you do charity. Let me mansplain how it's done.

This is exactly the kind of AI innovation I d expect from Meta.

Profiting of teenage girl insecurities was just not doing it anymore.

My personal experience with using Slack as just a in-company chat app has been fine. I enjoy using Slack more than Teams or Discord.

All their integrations kinda suck though, and its not uncommon for integrations to randomly break with no discernible changes elsewhere.

Its a solid success if you squint just at the adoption numbers they achieved by cross selling it.

It seems like agentic (or atleast AI-assisted coding) is the future. And we will be increasingly relying on these models to earn our livelihood.

Is anyone else worried at how easily Anthropic/Google/OpenAI can basically cut you off if you do something they don't like?

Looks like they logged in the first time in years to make a post https://news.ycombinator.com/item?id=46975123

And decided to jump in on some threads just as well.

Yeah I think the meritocracy pushed by America is at least in part responsible for this. Social validation for being a high-performing employee is much greater, than for being a member of the community.

"You don't understand everything, ergo you should build more things you don't understand and be okay with it."

This is a bad take.

> If you spend a couple of years with an LLM really watching and understanding what it’s doing and learning from mistakes, then you can get up the ladder very quickly.

I don't feel like most providers keep a model for more than 2 years. GPT-4o got deprecated in 1.5 years. Are we expecting coding models to stay stable for longer time horizons?

They are starting to sound less like a frontier AI lab, and more like a consultancy staffed with AI agents.

Surely hit a nerve.

Saas companies will survive for the same reason they do today. The operational overhead of any sufficiently complicated piece of software is too much, even more so if it's vibe coded.

Most of us are very well aware of Tesla's shortcomings with FSD and inflated valuations.

But electrek's reporting is biased and in bad faith when it comes to Tesla/Musk.

I can never understand why it is so eager to generate walls of text. I have instructions to always keep the response precise and to the point. It almost seem like it wants to overwhelm you, so you give up and do your own research.

I guess I am in the minority but I really liked the dash cart. Apart from the occasional niggle, it worked as advertised once I understood the system. I get my own bags to the store, so I can directly bag items as I go and just walk out when done.

She's an opportunist. For someone like her to be nationally relevant they have to latch onto MAGA and embrace the crazy. See MTG, Lauren Boebert, Matt Gaetz.

I think author is basing his observations on where the money is flowing. PostgreSQL adjacent startups and businesses are seeing a lot of investment.

I am no big fan of Tesla, but Electrek has a clear bias in their reporting.

We are finally making data dashboards that provide insights into war crimes compliance.