[fredcallagan]

Very interesting paper and I must say that I totally agree with it. But also that is something that is not new. I would say that the initial expectation is a bit off. I never expected that picking up any agentic coding solution, drop it in a project and fire at it a list of tasks would just magically work and follow a project pre-defined constraints. I do not believe that any agentic coding stack comes out of the box capable of this. Agents still need proper mechanics to understand the context, constraints and objectives reliably and that's still a work in progress as we can see by the constant updates on tools and skills and processes from Leading AI labs. They are now trying to fill that additional layer, which by the way could be much more profitable then bare model and token consumption. I would also argue that current OS models, like the ones tested, if properly driven can already produce production code following the desired constraints.

What has been you experience? What has your production code looked like in recent months?