What are the agents doing?
Follow sessions, changes and provenance. Preserve the reasoning behind the work.
Join the waitlist Code production has changed.
Human understanding needs a new interface.
Meet Logposa.

Pull request review asks a human to reconstruct intent from implementation. As agents produce more changes, that reconstruction becomes the constraint.
The next step is to change how we understand the work.
Logposa turns a change into a guided walkthrough, so you can build a mental model before taking responsibility for it.
What are we changing — and why?
Understand what existed before, where this change fits, and the problem it needs to solve.
Generated explanation. Recorded evidence. Explicit gaps.Logposa generates the explanation around the change. Captured agent-session evidence stays distinct from generated interpretation; missing context stays visible.
For developers: less reconstruction.
More understanding to build on.
Evidence captured from the work.
Interpretation, clearly identified.
A visible gap. Never a manufactured answer.
Unknown ≠ zero.
For engineering leaders, agent adoption raises a harder question: how much of that activity becomes useful, shipped software?
Follow sessions, changes and provenance. Preserve the reasoning behind the work.
See review queues, rework and failed checks across the path to merge.
Connect captured cost and activity to delivery outcomes, with coverage gaps in view.
Measure the software your organization can absorb.
Not just the code your agents can generate.
Be part of what comes next.