As AI agents take on more of the implementation work, we’ve noticed something: the code diffs are only half the story.
The other half lives in the reasoning that got you there. The debugging loops, the dead ends, the context a developer held in their head when they made a decision. That half has always existed, but it was invisible and trapped in someone’s brain.
When humans wrote the code, this was tolerable. You could ask them. You could reconstruct intent from naming conventions, commit messages, the occasional comment.
When agents write the code, you can’t ask anyone. You wish you had access to the reasoning that happened in an agentic session that no longer exists.
This is the accountability gap nobody’s talking about yet. Most teams are building governance frameworks for AI outputs that include reviewing the diffs and auditing the results, but we have almost no infrastructure for preserving the intent that produced them.
The question worth asking isn’t just “what did the AI produce?” It’s “in what context did it produce it?” And right now, most teams have no answer.
Intent preservation is going to become as important as version control. As agents take on more decisions, the inability to reconstruct the reasoning behind them will compound quietly until an audit, a handover, or a production incident makes it suddenly very loud. We didn’t always think carefully about versioning code either until the late ’90s, and the cost of losing commit history became undeniable. We’re just early enough that it doesn’t feel urgent yet.
That’s exactly why we started working on it before the gap became a crisis.
Now, on every commit, the full agent session (the prompts, reasoning chain, tool calls, and errors resolved along the way) is captured as structured metadata and tied directly to the commit SHA, automatically, with no new commands to learn and no change to how developers already work. Agent context becomes a versioned artifact, stored alongside the code, not lost when the session ends. From now on, the diffs not only tell you what changed, they also tell you why.