AI

AI fulfills specific pair programming roles:

  1. Code completions
  2. Discovery (research, query, usage, summary, plan)
  3. “Surgical” updates (steer towards specific context)
  4. Iterative edit-test loops
predictive codegen example
terminal output

Websocket proxy side-effect summary

terminal output
flowchart LR A[๐Ÿค– Code] --> B[๐Ÿงช Test] B --> C[๐Ÿ”ง Fix] C --> A B --> D[โœ… Done] style A fill:#e3f2fd style B fill:#fff3e0 style C fill:#ffebee style D fill:#e8f5e8
```mermaid
flowchart LR
    A[๐Ÿค– Code] --> B[๐Ÿงช Test]
    B --> C[๐Ÿ”ง Fix]
    C --> A

    B --> D[โœ… Done]

    style A fill:#e3f2fd
    style B fill:#fff3e0
    style C fill:#ffebee
    style D fill:#e8f5e8
```
deep as hell

My Questions

Can one grow excessively reliant on agentic prompting?

Is innovation beginning to plateau?

How much compute is being subsidized?

How can prompting be more deterministic?