SpecStory, Git AI, Entire Checkpoints: no standard for AI code context

The problem is framed as a side effect of faster code generation: prompts and trial-and-error disappear when a session ends, so reviewers and later agents lose the reasoning behind a change. The three tools exist because that context can be captured at different layers, and the comparison table makes the trade-offs explicit — SpecStory is readable Markdown anyone can open, Entire Checkpoints avoids polluting the working tree by using a separate Git ref, and Git AI stays close to git blame by annotating lines with agent, model and session.

The industry backdrop is consolidation. Thomas Dohmke, former GitHub CEO, started Entire and shipped its checkpoint CLI, while Git AI announced in a September 11, 2026 blog post that it is joining OpenAI's Codex team and will continue its open-source work. Cursor's Agent Trace points in a different direction — a shared JSON format rather than another tool — but it remains a draft at v0.1.0, and which listed partners actually comply is not verified.

A practical caution runs across all three: once sessions are stored in Git, secrets pasted into prompts can be pushed along with the code, so masking should be enabled. Given that no de facto standard has been decided, the advice is to pick one tool that fits the team's style and test it on a small scale.