In true agentic native development, we should stop writing so many md files, knowledge bases, and any sidecar guideline systems for AI agents. If an agent cannot understand and operate within the codebase itself, your stack isn't AI-native yet.
Forget the source code structures you knew before the AI era; forget them, and build the true agentic native codebase.
An AI native codebase should self-host under agentic workflows; the code itself is the guidelines (and the output at same time), and your task prompt is the fuel and breakthrough.
In true agentic native development, we should stop writing so many md files, knowledge bases, and any sidecar guideline systems for AI agents. If an agent cannot understand and operate within the codebase itself, your stack isn't AI-native yet.
Forget the source code structures you knew before the AI era; forget them, and build the true agentic native codebase.
An AI native codebase should self-host under agentic workflows; the code itself is the guidelines (and the output at same time), and your task prompt is the fuel and breakthrough.
Go is the best language for agentic programming:
- We don't need rich types; we need executable shapes: structural, LLM friendly capabilities that compose well.
- Closures and goroutines are enough for control flow.
- GC does not necessarily mean poor performance.
Please repost.
@GoogleOSS
Hey, I am a freelance Go programmer, here’s my most recent OSS work.
Could you please have a look at here? I think they’re really meaningful work. Thank you.
Pure Golang packages for systems development.
Clean & io_uring-backed
Safe & agentic-coding friendly
Zero overhead on hot paths
Bookmark this for your next build.
Minimal pure Go io_uring library.
All packages available at:
https://t.co/sNLKLTXeKz
License: MIT
Another agentic coding friendly ecosystem for Go.
Repost this if you think they are really helpful.
#golang#io_uring#Linux