Software Architecture on AIBussin — AI applications, systems and books

Beyond the Chat Box

Mon, 14 Sep 2026 05:00:01 +0100

Part 1 — Where You Stand

Before any of this can be built, it is worth being exact about where you are standing. Intelligence is no longer the scarce component. What is scarce is everything around it: deciding which work should never be stochastic, knowing what a model call costs, noticing that a person’s review decays as the model improves, and measuring a system whose output changes between runs.

These eight chapters make that case: the position a commodity technology erodes, the rule that keeps deterministic work deterministic, where this era’s training data came from, why human review becomes a rubber stamp, what intelligence actually costs, how to measure a stochastic system, and why projects still are not finishing.

Codex Manager: Building a Prompt-State Runtime for Hackathon-Grade Code Optimization

Sat, 16 May 2026 20:15:59 +0100

TL;DR

Codex Manager uses AI to generate code as an artifact, then tests that artifact, diagnoses what happened, and repairs the prompt state that produced it. The code is not the thing being optimized directly. The prompt state is.

Summary

Humanity’s Last Hackathon framed the challenge as a test of context, not code: the task was hard enough that the real question was not whether someone could hand-write one clever kernel, but whether they could build a system that used AI effectively under changing constraints.

AI as an Amplifier, Not a Utility

Mon, 11 May 2026 10:43:01 +0100

AI turns language into an interface for implementation.

1. The Builder’s World

There is a version of AI people talk about.

And then there is the version you discover when you actually use it consistently.

They are not the same thing.

AI’s real value is not doing old work faster.

It is this:

AI collapses the distance between an idea and a working system.

That is the part I think people are still missing.