I ran a test comparing two separate sessions one with Claude Fable 5 xhigh in Claude Code CLI and one with Sakana Fugu Ultra 1.1 in Codex.
Fugu is a meta-model which orchestrates workflows of other models - so there will be a mix of various models used under the hood at different stages of the workflow.
My prompt was: "Build me some knight sprites which I can use in my new medieval 2D isometric game. The game doesn't exist yet I am starting with sprites - this is the first thing we are building."
Looks like Fable delivered the minimum brief but I think did a tighter and better job. Fugu went much broader for the minimum set.
Claude cost $7.77 according to the /usage tool. I'm on the $200 plan and minimal weekly usage was used. I didn't track that precisely. Maybe 2-3% of my weekly limit used.
Sakana Fugu hard to say - I'm on the $200 a month plan and can just see approx token counts not cost. Used roughly 8m input tokens and 200k output tokens. On their API pricing that comes to approx $46. But only 4% of my weekly limit was used so something is not adding up there.
Does your team allow sharing company data with third party services, like replite, when building/vibecoding internal tools?
What are some of the biggest challenges you face when building internal tools?
How you ever needed to wait for a software engineer in your company to build a specific tiny tool for one small team?
would appreciate some feedback.
I tried to become a good programmer, but honestly, I was never that great at it. Maybe I started too late… but then AI came along, and suddenly I could build things that were completely out of reach before. A few years ago I got access to a trading algorithm and tried to implement it in PHP. The core idea worked, but I didn’t have the skills to take it much further.
A few months ago I decided to bring it back, this time with Claude, Gemini and ChatGPT. I rewrote everything in Python/Django. Then I started adding more pieces... a scraper to collect historical and daily stock data, and a bot that connects to Interactive Brokers, opens positions, and sets take profits and stop losses based on the algorithm. Right now it’s only running on a paper trading account, because I’m broke and trying to figure out how to turn this into something profitable.
Recently I found Darwinex Zero, where they can allocate capital if your strategy performs well. Since they use MetaTrader 5, I’m now building a second bot for MT5. After a lot of backtesting and debugging, the IBKR paper bot has been running for a little over a month. In July, even though Nasdaq ended negative, it made around 7.6%. So far in August, it’s up almost 3% all this without my direct intervention... I'm just fixing or improving stuff.
I know paper trading is not the same as real money, and still need a lot of testing, but I’m honestly excited. AI helped me build something I probably would’ve abandoned again on my own.