← All publicationsLeer en españolIntent, generation, verific | Coderz Club

← All publicationsLeer en españolIntent, generation, verification and decision. AI-generated illustration.When people say AI has transformed software development, I want to know which part they mean. Producing an implementation? Exploring a design? Deciding whether a system solves the right problem?Those activities are connected, but automating one does not settle the others. My argument is that agents can take on more implementation work, and assist with analysis, design, and testing, while engineers remain responsible for deciding what to build and what evidence is sufficient to accept it.That changes the work. It does not make the responsibilities disappear.I am wary of describing this as replacing the person who churns out code. It reduces developers to typing, understates what agents can assist with, and turns task automation into a claim about jobs. Claims about workforce replacement require evidence beyond an impressive demonstration.The practical question interests me more: how do we use these tools while keeping our decisions visible and our feedback useful?Give decisions somewhere to liveA conversation is convenient for exploring options. It is a fragile place to keep the only record of an architectural decision.Model context is bounded. A long session may be summarized, compacted, or resumed with selected information. The summary can preserve the conclusion and lose the condition that made it reasonable.