Orcaops is a local CLI and hosted review app that captures the plan, decisions, and reasoning behind agent-authored code, so reviewers can see what was intended instead of guessing from the diff.
Agents are shipping 3,000+ line PRs. Orcaops preserves the plan, constraints, non-goals, and decisions so reviewers are not stuck reverse-engineering the why from the diff.
Works with Claude Code, Cursor, Codex, and Aider.
Now onboarding teams already shipping agent-authored production PRs.
Agents now ship 3,000+ line PRs. Reviewers can't tell why decisions were made. A week later, even the developer who triggered the change can't always reconstruct it from the diff or the transcript.
The bottleneck isn't writing code anymore. It's understanding and reviewing it.
Orcaops sits next to whatever agent your team uses. While the agent works, it records the plan, constraints, non-goals, and decisions to a local thread you can review or search later. No new workflow. No spec to write up front.
From the first prompt to a reviewable PR, the why is captured along the way
The CLI runs alongside Claude Code, Cursor, Codex, or Aider. As the agent works, Orcaops writes the plan, the decisions, and the open questions to a local .orcaops/ thread, along with checkpoints and the final summary.
No new workflow. Developers keep the agents and tools they already use.
Deterministic and LLM-backed evaluators flag scope drift, missed constraints, and unsupported completion claims, then re-steer the agent while the work is still in progress.
Orcaops posts a PR digest grounded in the captured plan. Reviewers can see whether the change matches the original intent and why each decision was made, without reading the full transcript.
Reviewers stop reverse-engineering intent from the diff.
Sessions accumulate into a cross-repo record of how and why the codebase changed. Search past agent work, enforce shared AI-workflow policies, and stop re-deriving the same context every time.
Orcaops is the constant. Your agents can change every month. The implementation record shouldn't.
Reviewers get the implementation record behind the diff: what the agent was asked to do, what it avoided, what checks ran, and why the final shape exists.
The "why" behind agent-authored code exists during the session, while the plan is changing and decisions are being made. After the session ends, all you have left is the diff and a transcript.
PR summary tools read the diff after the fact. Orcaops captures the plan, constraints, and decisions before the PR exists.
Teams use multiple agents, and the agents themselves keep changing. Orcaops is one neutral implementation record across whichever ones your team picks.
Reviewers see the plan, constraints, and decisions alongside the diff, not just the code
Drift, missed constraints, and unsupported "done" claims surface in flight, while it's still cheap to fix
Past agent sessions are searchable across repos, instead of buried in per-tool transcripts
Shared AI-workflow policies replace per-developer conventions, so quality doesn't depend on who ran the agent
One implementation record that follows the work into every PR.
AI-authored code is becoming the default way software gets written. The bottleneck has moved from writing it to reviewing and understanding it.
Orcaops makes the code your agents are already writing something a teammate can review, search, and trust later. The speed-up your team is paying for sticks.