Entire: A 'Dashcam' for AI Coding That Explains Every Line of Code

The Problem: AI Coding Loses the "Why"

Developers using AI assistants like Claude Code often face two gaps: code reviews reveal changes that work but lack explanation, and when an AI agent drifts off course, the intermediate discussion, failed attempts, and discarded approaches vanish once the session window closes. Git records what changed, but there is no built-in place to store the dialogue, trade-offs, and constraints behind those changes.

Existing Workarounds and Their Shortcomings

Tool-specific history: Claude Code's /resume, Codex's history, etc., live in proprietary directories, detached from the Git repo. Switching tools or machines breaks continuity.

Manual commit messages: Few developers consistently summarize dozens of conversation turns into a one-line commit message; critical context is lost.

WIP commits on branches: Auto-committing every AI step pollutes branch history, making real diffs harder to review.

All three keep process records separate from code versions, yet the "why" is only useful right next to the "what."

Entire's Core Mechanism: Sessions as Git Refs

Entire (Go, MIT, 5.1k+ stars, active as of 2026-09-17) integrates directly into the Git workflow. After entire enable --agent claude-code (supports 10+ tools including Codex, Gemini, Cursor, Copilot, OpenCode), it installs Git hooks that run silently in the background.

Three-Step Workflow

Shadow branch: While the AI works, the ongoing session is staged on a short-lived shadow branch; the working branch stays clean.

Checkpoint creation: On git commit, Entire bundles the accumulated session data — full conversation, touched files, token counts, even sub-agent task logs — into a checkpoint and tags the commit with an Entire-Checkpoint marker.

Ref-based storage: Checkpoints live as independent Git refs under refs/entire/checkpoints/ (26-character ULIDs, naturally time-ordered), not as commits on any branch.

Benefits of the Ref-Based Design

Commit history remains pristine — Entire never creates commits on active branches.

Each checkpoint is a standalone ref that can be pushed/fetched individually; a teammate pulls only the checkpoints they need.

Checkpoints travel with the repo: git clone brings the full session history, eliminating "environment change = history loss."

The project migrated to this ref-based storage in July 2026 to keep push/read performance fast as agent history grows.

Key Capabilities: From a Line of Code Back to the Conversation

entire blame

— like git blame but shows which AI session, model, and author produced each line. entire why — jumps from a line directly to the prompt and conversation that generated it. entire session resume — restores the exact session state from any checkpoint, enabling rollback after an AI drift or handoff to a colleague. entire search — hybrid semantic + keyword search across code and all session content; the new Agentic Search (Sept 2026) lets agents query past approaches before acting.

Cross-tool handoff: A session started in Claude Code can be continued in Codex without re-explaining context — impossible with vendor-specific histories.

Team onboarding: Checkpoints can be pushed to a shared repo; new members follow the "prompt → diff → commit" trail to understand every code segment.

Getting Started

brew install --cask entireio/tap/entire  # macOS
entire enable --agent claude-code       # in your repo

Linux/Windows have official install scripts. After enabling, recording is automatic; entire status shows state, entire disable removes hooks cleanly.

Trade-offs and Boundaries

Open-source CLI, commercial cloud: The CLI is MIT-licensed and stores checkpoint data locally in your Git object database. However, account management, cloud search, team collaboration, and the planned Git hosting service run on Entire's cloud. Evaluate this boundary before adopting.

Security: Automatic secret detection and redaction (two scanning engines), OS keychain for credentials, CI-friendly env-var token injection. Still, routing AI session data through a third-party tool warrants careful review.

Young, fast-moving project: Near-weekly releases mean behavior can shift; agent support depth varies (full sub-agent tracking for Claude Code and Droid, limited for Codex and Cursor).

Value premise: Entire pays off when AI is the primary code producer; if you mostly hand-write code, the session-recording benefit diminishes.

Strategic Vision

Entire's team outlines three layers: agent version control (today), a semantic reasoning layer for inter-agent memory sharing, and a new AI-native collaboration workflow. The core insight — treating "why" as a first-class versioned artifact alongside code — addresses a structural gap: all existing dev infrastructure (issues, PRs, reviews) assumes human authors. As AI becomes the main writer, that infrastructure must be rebuilt, and Entire's choice to embed session history inside Git itself is a pragmatic starting point.

GitHub:

github.com/entireio/cli