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Entire

Entire is a developer platform for collaboration between AI agents and humans—beyond repositories—to interact and keep progressing over time.

Entire

What is Entire?

Entire is a developer platform focused on collaboration between AI agents and humans. Instead of centering on repositories alone, it’s positioned as an environment where agents and people can work together, interact, and continue progressing over time.

Based on the site’s messaging, the platform’s core purpose is to support a workflow where human intent and agent execution can be coordinated in a shared development context—designed to go beyond traditional repo-first development.

Key Features

  • Agent-and-human collaboration: The platform is designed for both agents and humans to work together as part of the same development workflow.
  • Interaction between participants: It emphasizes interaction as a core capability, not just isolated automated actions.
  • Platform approach beyond repositories: The product explicitly frames itself as going beyond repositories to provide a broader development platform layer.
  • Continuous growth and progress: The messaging highlights that collaboration supports “growth,” implying ongoing development rather than a one-off run.

How to Use Entire

  • Start with the development goal you want to achieve, then define what role the human and the agent should play in that work.
  • Use the platform to coordinate interaction between the agent and human participants for the task at hand.
  • Iterate on the workflow as the collaboration progresses, using the shared platform context to continue work toward the outcome.

Use Cases

  • Coordinating a coding task: A developer and an agent collaborate to move a coding task forward, with the developer providing direction and the agent executing steps.
  • Agent-assisted troubleshooting: An agent and a human interact to diagnose issues and converge on a fix through iterative collaboration.
  • Multi-step development workflows: Teams can structure work so that agent actions and human review/decisions happen across multiple stages rather than a single automated output.
  • Ongoing improvement of a project workflow: Because the platform is described as supporting “growth,” it can fit situations where the agent-human collaboration is refined over time.

FAQ

  • What does “beyond repositories” mean? The site states that Entire is going beyond repositories, implying it provides a platform layer for collaboration that is not limited to repository-centric workflows.

  • Does Entire focus only on AI, or also on humans? The platform is described as enabling collaboration between agents and humans, indicating it is built for both roles in the same workflow.

  • What kinds of work is Entire meant for? The messaging centers on developer workflows where agents and humans collaborate, interact, and grow toward development outcomes.

  • Is there information about setup, pricing, or integrations? The provided page content does not include details on setup instructions, pricing, compatibility, integrations, or limits.

Alternatives

  • Repository-centric development platforms: Tools that primarily organize code in repositories and support collaboration through standard version control workflows, rather than an explicit agent-human collaboration layer.
  • AI coding assistants: Agent or assistant tools focused on generating or editing code, typically without positioning themselves as a broader platform for agent-human interaction.
  • General-purpose collaboration/workflow platforms for developers: Platforms that support teamwork and task coordination, but may not specifically emphasize agent-and-human collaboration as a first-class workflow concept.
  • Traditional CI/CD pipelines: Automated build-and-test systems that execute steps in a workflow, but generally do not provide the agent-human interactive collaboration framing described for Entire.