Entire CLI

Entire CLI hooks into Git to capture coding agent sessions, including prompts, transcripts, tool calls and files touched, and stores them in the repository alongside the commits they produced but outside the branch history. It works with Claude Code, Codex, Cursor, OpenCode, Pi and others. Since we last featured Entire CLI, one of our internal teams that works heavily with coding agents has used it to share every member's sessions. The team found it useful for seeing how teammates prompt, what their agents do with those prompts and how prompting affects the quality of the output. It could also help experienced developers show others how they work with agents.

Openness comes with a cost, however. Entire CLI keeps a permanent record of how each person prompts, and anyone with access to the repository can read it. When we tried introducing it to other teams, some developers pushed back. A coding agent can feel like a personal assistant, and they weren't comfortable sharing everything they asked it with the team. For those teams, AgentsView offers a local alternative, letting developers review their own sessions without sharing them. We suggest trying Entire CLI in highly collaborative teams with a strong culture of trust. It stays in Assess because our experience comes from one internal team, and we don't yet know how other teams can adopt it comfortably.

Entire CLI hooks into Git workflows to capture AI coding agent sessions — including transcripts, prompts, tool calls, files touched and token usage — as searchable metadata stored on a dedicated repository branch. It supports Claude Code, Gemini CLI, OpenCode, Cursor, Factory AI Droid and GitHub Copilot CLI. As AI agents become primary contributors to codebases, teams face a growing gap between what Git tracks and what actually happens during a coding session. Entire CLI addresses this by recording full sessions alongside commits, creating an audit trail of agent activity without polluting the main branch history. Its checkpoint system also enables practical recovery: teams can rewind to a known-good state when an agent goes deviates and resume from any checkpoint. While the tool is still very new and the ecosystem for agent session traceability is still forming, teams with compliance or audit requirements around AI-generated code may find Git-native session capture a natural fit.