Jigar Patel

Building scalable systems • Full-stack + AI Engineer • Low-level design, DDD • TypeScript, Python, Go

[Jigar Patel @atjogi]

@pankajkumar_dev What about frontend work? How much improvement on that?

[Jigar Patel @atjogi]

@DavidOndrej1 Why you are still seeing fable on your subscription? It supposed ro be removed after 23 right?

[Jigar Patel @atjogi]

@leerob @kentcdodds Lets name it Composer 2.5 so we can better keep track of upgrades later on😬

[Jigar Patel @atjogi]

@steipete Why golang and no typescript?

[Jigar Patel @atjogi]

@theo @trq212 @bcherny @DarioAmodei @DarioAmodei is unlikely to allow this.

[Jigar Patel @atjogi]

Clean Architecture and DDD are complementary.

Clean Architecture controls dependency direction.
DDD shapes the model around the business.

Together, they make software easier to reason about, safer to change, and more resilient when the business shifts.

[Jigar Patel @atjogi]

Most software doesn't die from lack of features.
It dies when change gets too expensive.

I wrote a 3-part series on DDD + Clean Architecture around that problem:

how to model the business clearly, protect core rules, and keep systems evolvable.

🧵

[Jigar Patel @atjogi]

Once multiple teams touch the same system, the language starts to split.

"Order" means one thing to trading, another to settlement, another to reporting.

DDD doesn't force one universal model.
It gives you boundaries and translations.

[Jigar Patel @atjogi]

@MrAhmadAwais Great news, @steipete what is your take? Will you still be active on gogcli?

[Jigar Patel @atjogi]

@peterom Good use of Claude!

[Jigar Patel @atjogi]

@peterom This is great, how did you come up with this idea?

[Jigar Patel @atjogi]

@AnthropicAI Calm down. There is nothing you can do about it except avoid banning those 24k accounts and continue earning subscription fees from them.

The edge you have is staying ahead, but you can’t stop nature from catching up with you.😉

[Anthropic @AnthropicAI]

We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax.

These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.

[Jigar Patel @atjogi]

@rajiv1312 🤟

[Jigar Patel @atjogi]

Your job as a senior engineer is to make yourself replaceable. Document everything. Share context. Train others. That's how you become irreplaceable. The engineer who hoards knowledge is a liability. The one who multiplies others is invaluable.

[Jigar Patel @atjogi]

@JeffDean That’s a big jump. Is this mainly due to changes in the base model and training, or improvements in reasoning methods and post-training optimization?

[Jigar Patel @atjogi]

@DavidOndrej1 Good to know, Thanks for sharing.