Ostatnigrosh

I cannot read or view any of this content because of the 100 ads that pop up.

Unless you're tigerbeetle and want to handroll every single thing you do lol

A small correction though. Because of AI I'd argue that execution is cheap while the best ideas are valuable.

Just command + click

I deeply resonate with this. Even when I began reading, I felt myself wanting to jump away into my email or some other needless task. After getting through the premise, it felt almost like a challenge to read the entire blog. Very well done.

The final verdict that software engineers wont exist x years from now is a bit contrived. Today, my team is looking to hire an AI software engineer. I reached out to my close group of developer friends to gauge interest only to find out that each one of them is ALSO trying to find/hire software engineers, all looking for this new "paradigm" of programming knowledge. Maybe how the role itself looks different today than it did 5 years ago but it seems like every company is trying to accelerate their development and finding new opportunities that didn't exist before the AI craze.

More than anything, I believe that AI is pushing out those who enjoyed the ~act~ of programming more than the product being delivered itself. Mostly because those individuals might have the hardest time adopting this new way of getting things done.

And honestly, I feel for them. Coding has always felt like an art form to me. Nothing feels better than someone commenting on the elegance/beauty of something youve written.

I'd probably agree with most in the comment section. Comparing Rust & Zig is not productive. I spent the last month familiarizing myself with Zig after having done a 2 years stint with Rust and Zig is a much younger language with a far smaller ecosystem to work with. If I were to reach for C i'd recommend Zig. If I were reaching for C++ then it would be Rust.

Both are fantastic languages and I hope to see them both evolve in years to come. Zig has a longer road ahead but it really is elegant and simple to work with.

It definitely seems to be that way.

After reading the comments, I’d like to clarify a few things. This article isn’t meant to pitch a fraud scoring product. I recently discovered that several states publish VIN level data and, as a weekend project, decided to dig a bit deeper to see what I could learn. Given more time, I’d refine the analysis by normalizing against registration volumes, flagging outliers, and so on but for now I simply want to share an interesting glimpse at what ive found.

I haven't ever considered the self grading approach. Going to try that out!

This is exactly the wrong mentality to have about new technology.

Neat! Really curious how you managed to outperform DuckDB 5x. Do you see yourself maintaining this long term? would love to use polars as my one stop shop + plugins rather than pulling in additional tooling.

not yet! That could be a really useful usecase. I will look into it.

Over the course of a year, I've become obsessed with speeding up all things python. Drawing inspiration from authors of UV, Pydantic, Polars I set out to build an amazingly fast python email validator. Let me know what you think!

Check out my first rust project. The inspiration came from `cargo-udeps` and I was reading zero2production. I realize that `UV` does all of this out of the box, but I still wanted to challenge myself. Let me know what you think.

I have been obsessed with this balancing cube forever now

I have been obsessed with this balancing cube for years now

what in the Pied Piper?

This is awesome! I've been looking for new ways to meet/find developers in my area. Are you looking to add new filters? (Filter by top language, number of stars, etc). I would be really interested in helping you on this

Thanks so much! Can't wait to hear what you think.

Back in January, ChatGPT started to take off. I was immediately hooked. As a developer, this improved my workflow tremendously.

Something was missing though… I tend to read a lot of documents and need the ability to reference that material specifically and ask my questions. One option was to copy-paste parts of a doc into chatGPT, but that's a crappy solution when the context you're looking for could be scattered across thousands of pages.

This is where our little startup, Three Sigma was born. A few buddies and I quickly realized how helpful this could be to students, lawyers, and anyone that deals with tons of documents alike. We started small by spinning up a pretty front end and tagging on a waitlist to see if there would be any traction (There wasn't). We quickly grew discouraged until one day in a last-ditch effort, I threw a post on hacker news and went to bed. The next morning was glorious. Thousands of people were trying out our demo and leaving feedback. Needless to say, I was on top of the world. We continued to do some marketing and realized there in fact was a demand.

From January -> May we built, tested, broke, and revamped our product until we squeezed every last drop of performance a two-man team could in a few months of work. All the while we continued marketing and getting people signed up for our waitlist. Things were going well.

Though ChatGPT is a fantastic tool, it's not infallible. We wanted the ability to reference what parts of the document were used to generate an answer so you could fact-check the answers without sifting through thousands of pages by hand (or dealing with a black box). Oh and one more thing. We didn't want to jump from ChatGPT to Three Sigma back and forth. Three Sigma had to be a one-stop shop, so we implemented a “Free Solo Mode” where you could directly interact with Openai's models.

On May 11th, we launched our product. Satisfied with the leaps of progress we made in the last few months. Long story short, there are tons of new AI tools coming out every day. I wanted to personally Thank Hacker News for giving us the courage to ship Three Sigma

I would love for you guys to try it out, and leave feedback. Thanks again.