I've been building Rails-native UI components for two years because nothing like this existed. 32 ViewComponents, all Rails 8, Turbo, and StimulusJS. No React, no external JS dependencies -> https://rapidrails.cc/docs
Recently I started building an agentic layer on top. Give it a clear prompt and it generates a full Rails app, models, migrations, commits, and UI, using the component library.
A blog system with authors, posts, and comments takes about 10 seconds. That's faster than rails new.
The demos emulate real prompts I tested in CLI. It's far from perfect, prompt specificity matters a lot right now, but speed, cost, and understanding of Rails conventions are solid.
The goal is something like v0 or Lovable but exclusively for Rails.
Built with Rails, for Rails. No outside frontend layer.
OpenAI's CTO, Mira Murati, found herself in a tight spot when questioned about using YouTube data to train Sora. Her uncertain response has sparked controversy and raised concerns about their ethics in collecting and training data. This incident has fueled a growing debate about AI companies' data practices.
Then YouTube's CEO, Neal Mohan said, if OpenAI used YouTube content without permission, it would violate their terms of service. Shall Neal freakout like how they are now!!
Clearly they are scared, they know people are canceling their subscriptions with them to and use free and better technologies. I know of 100 of people canceled their gpt subscription.
Many developers are replacing the expensive gpt models for free deepseek.
Here is the AI current story:
Imagine two AI trains chugging along the tracks of innovation. The first, driven by OpenAI, was the early leader, after they using Google transformers (and without they wouldn't exist).
They charged a hefty fare for anyone to hop aboard. We don't know how they trained their data. And big companies felt they had to buy tickets or risk being left behind.
OpenAI thought they were the only engine in town.
But then, another train pulled up alongside them. This new locomotive, powered by smart folks at DeepSeek, matched OpenAI's speed and fancy gadgets, if not better. The kicker? Everyone could ride for free!
Now, OpenAI's train is losing steam. People are jumping ship, with hundreds canceling their pricey GPT subscriptions. Meanwhile, the free train is picking up speed, aiming to make AI available to all.
In this tale of two trains, OpenAI might need to change their name to "ClosedAI" if they keep putting up barriers, being closed. The free and open train? That's the one chugging towards a brighter, better, free AI future for everyone.
Right? That's so strange. I went for a look around and saw "articles" with apparently tens of thousands of "reads" but 0 comments. I don't know if they're locked behind a login or what but it feels like something is off there
> In this tale of two trains, OpenAI might need to change their name to "ClosedAI" if they keep putting up barriers, being closed. The free and open train? That's the one chugging towards a brighter, better, free AI future for everyone.
This answer itself is an AI product, right? Like you're making a meta-point about something
Deepseek is remarkable, but they explicitly say they built on top of Meta's Llama and Alibaba's Qwen. They scored the goal but there were other players involved to get there.
I feel like you confuse this with their distill models (i.e. 1.5/7/8/32/70B) being build on top of Llama & Qwen models. But those aren't really remarkable models.
Truly remarkable model is DeepSeek-R1, and it's their model, with very particular DeepSeek architecture. Of course they build on the knowledge of other labs, just like other labs build on the top of their/others knowledge. They are miles ahead of Meta in terms of the base architecture at the moment, and you can watch them iterating throughout last year to come to where they are now.
Recently I wrote about refactor Rails helper from static to dynamic rendering. Final refactor uses metaprogramming such as 'method_missing".
A reader responds to my post with an insightful perspective that champions clarity over conciseness. It's a classic debate in software development.
Metaprogramming vs. Explicit Code in Rails Refactoring.
Join the conversation and share your views.
New blog post: Handling Not-Null Constraints in Production Migrations with Ruby on Rails Filled with practical tips and a dash of humor, it's a great read for Rails developers looking to improve their skills. Check it out: [link to blog post]
Launched ValidateOK.click : A Human-AI Partnership for Indie Makers
We're excited to announce the launch of ValidateOK, a platform designed to help indie makers validate their ideas. What sets our project apart is the incredible collaboration between a human entrepreneur and an AI language model, working together to bring this vision to life. Follow our journey to discover the power of AI in the world of entrepreneurship.
I really like this idea and want to see if it is possible to come t live as an online service where CEO finds the right CEO shadow.
Couple of years ago the idea of CEO Shadowing was mentioned on Kernal. https://kern.al/idea/shadow-a-ceo-lessons-courses-programs
Since then no one picked it up, not sure why. But I'm interested and want to make a real living application for CEO and who want to be CEO Shadow.
Since then no one picked it up, not sure why. But I'm interested and want to make a real living application for CEO and who want to be CEO Shadow.
Is it worth it?
Pasta is a wonderful food to cook and joy to eat. Everyone loves it, specially children. It is winning ticket to kids heart. It is my food to go when I had no idea to cook. With some dried pasta and coloured thick liquid (tomato sauce, pesto, white cream), and happy live. Cooking it is easy and straight forward.
You need to be mindful with few steps while cooking pasta. It is not about ingredients as much as the method to achieve what you desire.
I started with a plan. I wanted to feed the children more veggies “hidden” in the sauce. This plan allowed me to be creative and add as much vegetables as I wanted, as long as it “taste and looks” like tomato sauce. Challenge is on
As always “Mise en place” which is a French culinary phrase means, everything in its place. So, on my cutting board I gathered all ingredients that I thought it will play well together.
Dried pasta. Green and black olives. Green onion. Garlic. Onion. Tomato paste. Parsley. Carrot. Zucchini. Broccoli stem. Lemon. White cabbage. And but not showing (Red chilli. Ginger powder. Coriander powder. Can of Sardine).
As I mentioned above when it comes to pasta, there are few rules you have to be mindful of.
Let us cover most of them from ingredient and science perspectives.
TIME
Dried pasta takes 8-10 minutes to cook in boiling water. More time will break the pasta and become mushy. Let us jump on boiling pasta timeline to understand what happens:
0 minute mark: Dry pasta made of wheat and it forms a network of glutens. Cooking breaks down this network.
Recently I started building an agentic layer on top. Give it a clear prompt and it generates a full Rails app, models, migrations, commits, and UI, using the component library. A blog system with authors, posts, and comments takes about 10 seconds. That's faster than rails new.
The demos emulate real prompts I tested in CLI. It's far from perfect, prompt specificity matters a lot right now, but speed, cost, and understanding of Rails conventions are solid.
The goal is something like v0 or Lovable but exclusively for Rails. Built with Rails, for Rails. No outside frontend layer.
Interested in feedback on the approach.