The Entire CLI: How It Works & Where It's Headed
Blog post from Entire
In 2026, developers face the challenge of managing the vast amount of code produced by AI agents, leading to the introduction of "Checkpoints" to capture not only code changes but also the context behind them. Checkpoints bundle the code state, agent transcripts, prompts, token usage, and line-level attribution, allowing developers to trace changes back to their origins. This system integrates seamlessly with existing git workflows, storing metadata in git objects and utilizing a two-tier storage model to manage temporary and permanent data. The Entire CLI preserves session history without altering the traditional git experience, supporting multiple agents and allowing for concurrent sessions. As development shifts towards AI-driven workflows, Checkpoints aim to provide deeper insights into the "why" behind code changes, enhancing team visibility, searchability, and auditability. This evolution in code management is set to transform code reviews into intent reviews, focusing on problem-solving and decision-making processes rather than just syntax, ultimately paving the way for a new developer platform.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 1 | 1,565 | 481 | 159 | +31% |
| Developer Experience | 1 | 963 | 451 | 130 | +91% |
| Multi-agent systems | 1 | 737 | 192 | 84 | +49% |
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