Intent

In the age of AI,

the most important thing to preserve is human intent.

We've all seen the wave of new tools. Code now appears in seconds. Vibe coding is real. But something is missing.

The bottleneck has moved. It's no longer about how fast we can type, but how clearly we can think. The new tools meant to help us are creating another kind of mental tax. We're drowning in micro-decisions.

What context do agents need? Give them too much, they get confused. Too little, and they guess wrong.

Meanwhile, the critical context that shapes software (the decisions, the trade-offs, the reasoning) still lives in places that don't scale. Chat logs that disappear after 90 days. Meeting notes lost in someone's folder. Wikis that go stale. Documentation that drifts from reality. People's heads, until they leave.

As speed increases, that critical context disappears faster. Teams spend more time rediscovering conclusions than building on them.

The result, if not built thoughtfully, becomes a house of cards. Code that looks right but crumbles under pressure because it was built without deep understanding of the whole.

Intent fixes that gap.

We capture decisions where they happen: agent sessions, team discussions. We turn them into durable artifacts and keep them connected to the work they produced.

Versioned alongside your code. Consumable by humans and agents. Searchable forever.

Intent isn't another tool in the stack. It's the fabric that connects decisions across tools to the code they produce.

Your project's reasoning travels with it.

We're not building one-click magic buttons. We're building tools that help you think, because that's where the real work now lies.

This is our bet on the future of software: a future of mindful making. The craft isn't just about speed. It's about depth of thought.

Things with intention. And things that last.

Greg, Jake, and Sean

Our story

We started SpecStory in 2024 with a deep belief: in the age of AI, the most important thing to preserve is human intent. We built tools to capture what happens in AI coding sessions: the prompts, the reasoning, the decisions that shape code.

After thousands of hours developing with AI agents, we adopted a pattern in what worked. Plan first. Break the plan into clear tasks for human and AI. Execute. Update a living document that acts as the project's memory. It's not rigid, but it forces clarity.

We realized this way of working needed its own home. So we reimagined the solutions to the needs of AI-native developers. Us.

Intent is that home. A complete fabric for capturing, organizing, and surfacing the decisions that shape software. A place where clarity forms, alignment happens, and ideas flow smoothly into implementation.