Discover how SpecDD was born from years of frustration with AI agents that forget, violate boundaries, and lose context. Learn why specification-driven development is the missing layer between intent and reliable implementation in AI-assisted software projects.
…and then you ask the agent to implement the next logical piece. It comes back with something that contradicts what you instructed on three sessions ago. A dependency appears that you explicitly said was forbidden. A boundary gets crossed. A pattern gets abandoned in favor of something the model apparently prefers from its training data. The code is often technically correct, but it is wrong for your project.
I hit that moment a lot. It annoyed me greatly. And then I started thinking hard about why it kept happening.
The reason it keeps happening is because OP is an idiot using a sophisticated Markov chain to try to automate away the only parts of his job that is actually self-actualizing. They will write another article when eventually they lose their job to some VC backed con job shows their boss a presentation showing capabilities that OP too falsely believe AI has.
The reason it keeps happening is because OP is an idiot using a sophisticated Markov chain to try to automate away the only parts of his job that is actually self-actualizing. They will write another article when eventually they lose their job to some VC backed con job shows their boss a presentation showing capabilities that OP too falsely believe AI has.