i’ve been using ai-assisted coding tools a lot over the past couple of months. one thing i realized is that nowadays, with everyone adapting to these tools, building something is not just about the code anymore.
it’s more about the intent and the back and forth conversations with the agent. the quick prompts, the questions, the moments you decide to take a different path. that’s where the decisions really live.
those conversations carry the “why” behind a feature:
- why it exists
- the reasoning for a design choice
- the trade offs along the way
- why something was dropped
they show how our intent evolves as we build.
the problem is that once the code is written, all of that context usually disappears. the code tells you what was done, but not why it was done that way.
saving and linking the why makes it easier for someone else to step in, understand decisions, and collaborate effectively. it helps reviewers and teammates follow the reasoning. it even helps future us, when we come back months later and wonder why we made a certain choice.
software isn’t just the output of code anymore but more of a trail of decisions and intent. i think we need better ways to keep that trail visible, and that’s exactly the problem we’re working on at
@specstoryai, designing a flow where the "why" flows with the "what".