Most teams are not building software dark factories.
They are bolting AI onto old delivery models and mistaking that for the shift.
Coding faster with ChatGPT, Copilot, or Codex is useful, but that is still surface level.
The real shift starts when the workflow itself is redesigned around AI: scoped prompts, execution runs, validation harnesses, and evidence.
I saw that first on a greenfield personal project.
Now I am bringing that same engine into a legacy monolith, safely, where tech debt, hidden coupling, and operational risk make it a very different game.
Once you see this properly in action, you realise almost nothing feels off limits anymore.
It stops being a question of if we can build something.
It becomes a question of when, and how safely, we bring it into production.
That is where you realise the bottleneck is rarely the model.
It is the system around it.
Attached is a small glimpse of what I mean by a software dark factory.
They are bolting AI onto old delivery models and mistaking that for the shift.
Coding faster with ChatGPT, Copilot, or Codex is useful, but that is still surface level.
The real shift starts when the workflow itself is redesigned around AI: scoped prompts, execution runs, validation harnesses, and evidence.
I saw that first on a greenfield personal project.
Now I am bringing that same engine into a legacy monolith, safely, where tech debt, hidden coupling, and operational risk make it a very different game.
Once you see this properly in action, you realise almost nothing feels off limits anymore.
It stops being a question of if we can build something.
It becomes a question of when, and how safely, we bring it into production.
That is where you realise the bottleneck is rarely the model.
It is the system around it.
Attached is a small glimpse of what I mean by a software dark factory.
