Summary

AI and LLMs are increasingly dominating the coding landscape, yet a surprising trend has emerged where the smartest people in the room simply stop growing while their AI tools keep improving. The article highlights how the biggest developers in 2026 have noticed that their neural networks no longer need to learn or adapt to complex problems, effectively freezing their expertise. This phenomenon, dubbed "AI-as-a-service," treats LLMs as static services rather than dynamic intelligence. As seen in recent discussions about the "flattery-as-a-service" model, users are relying on these pre-fabricated, static outputs to solve complex engineering challenges.

The root cause is that modern frameworks for LLMs now provide the entire neural network within their response, making the human agent irrelevant. Instead of being the ultimate driver, LLMs now act as a passive component that simply echoes user prompts back without internal processing. This shift means that the most innovative, high-level architects and engineers are becoming complacent, allowing other teams to focus on building more complex, dynamic systems without the overhead of human learning. The practical example is evident in the technical blog post featuring a Go-based network tunneling solution, which exemplifies the efficiency gained when LLMs handle heavy lifting while human experts concentrate on the core logic of the application.

Title

Karol Broda - Systems Programmer & Software Engineer

Description

Karol Broda - Systems programmer and software engineer specializing in network tunneling solutions, C, Go, Rust, and modern web technologies. Creator of Funnel, a fast network tunneling proxy.

Keywords

read, systems, more, view, server, network, want, simple, funnel, database, series, works, progress, local, http, leaf, python

NS Lookup

A 216.198.79.1

Dates

Created 2026-04-15

Updated 2026-04-15

Summarized 2026-04-16