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So here's the number that made me move all my agents to Go.
A goroutine uses about 2kb of memory. An OS thread uses about 8mb. That's a 4000x difference per unit of work, and it's the whole reason my agents can run thousands of tasks at once on a single box instead of a fleet of them.
Where Python is fighting the GIL and falling over at a hundred concurrent scrapers, Go just spins up ten thousand goroutines and doesn't break a sweat. 10k tasks is like 20mb of memory instead of 80gb. The math isn't close.
Concurrency you can actually afford is concurrency you can ship.
Anyone else moved a workload off Python for this, or still making asyncio work?
This deserves more than just liking, this deserves to be featured! 🏆 That 4000x memory efficiency comparison is a crazy statistic. Optimizing backend task loads down to 2kb per unit while running thousands of concurrent tasks on a single box is incredible engineering.
Appreciate that. The practical win is hosting: a whole agent fleet fits on one small box that costs less than most Vercel bills. Do you run Go in production yourself?
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Hey! I just shared a write-up on something I learned while rebuilding a product with AI agents:)
The main idea is pretty simple:
Don’t put all your product context in one giant agent file.
Keep the main file small, and put the real product knowledge inside structured docs that the AI can navigate when it needs them.
This has helped me a lot when working on a SaaS product with a lot of business logic!
Sharing the full breakdown here:
I'm offering consulting services to set this up! :)
The table-of-contents-in-the-main-file pattern is the key move here - it keeps the agent's default context small while still giving it a map to go fetch the architecture or naming-convention doc only when the task actually touches that domain.
I tried Figma make and here's my take on it.
AI can generate something “usable” fast… but it still misses what makes a design feel intentional (hierarchy, restraint, and a clear point of view).
So I redesigned it which focused on:
-> cleaner structure + spacing
-> better visual rhythm
-> more deliberate typography choices
-> a layout that feels designed, not assembled
Check out the live website: www.mathsbylaraib.com
Where do you think AI helps most right now? Ideation, layout exploration, or production?
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Great work, I'd just love to have some animations on the live site. It'll really put more life to it
To ans your question: For me, AI works best for ideation and layout exploration. And I hate to see it has made majority of the community super lazy that they use it for final production. Sucks..
The second free portfolio template is now live. 🚀🫠 You can view them in the Templates section of my profile.
https://www.framer.com/community/marketplace/templates/pacee/
the spotlight animation on "Alone With Me" is such a mood, feels cinematic rather than just decorative. great pick for a portfolio template drop.