Found it actually performs well for data analysis and running automated checks (cron-style tasks). Because the reasoning layer seems reliable so far, I've hooked it up to a simulation account (paper trading) to backtest the execution in real-time.
It’s good enough to monitor the market, but I’m keeping it sandboxed until I see consistent behavior over a longer timeframe.
I asked Reddit to give me a weird game idea to test my "vibe coding" workflow. They voted for a "Diddy shooting baby lotion bottles" space invader clone.
The interesting takeaway:
The actual development took about 30 minutes using my agent.
However, agonizing over which celebrities to target and hunting down memes took ~2hr.
It feels like the bottleneck has completely shifted from "how do I implement this" to "what assets do I need".
> It feels like the bottleneck has completely shifted from "how do I implement this" to "what assets do I need".
Frankly, and I don’t wish to be mean or discouraging, but this is neither good nor interesting. The screens are generic, the gameplay isn’t fun or funny or well thought out, and it’s not very responsive either. It’s also not a Space Invaders clone, enemies don’t just infinitely fall down randomly and overlapping in that game.
That it took thirty minutes to make isn’t impressive, because that’s how long it looks like it would take to build by hand anyway. There’s no reason for this to be a React app with Tailwind.
Found it actually performs well for data analysis and running automated checks (cron-style tasks). Because the reasoning layer seems reliable so far, I've hooked it up to a simulation account (paper trading) to backtest the execution in real-time.
It’s good enough to monitor the market, but I’m keeping it sandboxed until I see consistent behavior over a longer timeframe.
https://github.com/SYNR-AI/ClawStreet