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Handler is an open-source control plane for AI coding agents that runs each agent in its own sandbox, explains edits as they happen, and gives teams a cleaner way to review, fork, and steer long-running coding sessions.
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Jun 2026
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handler.dev
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A quick visual look at Handler before you visit the official site.

Editorial Review
Handler sits between raw terminal agents and the moment their output becomes hard to trust. Instead of waiting for one giant diff at the end, it gives each run an isolated environment, a visual control surface, and live visibility into what the agent is doing before the code lands.
It is hot right now because it launched on Product Hunt this week and hits a real bottleneck in agentic coding: review, not generation. A lot of teams already have Codex, Claude Code, Gemini CLI, or OpenCode. What they still lack is a practical way to keep those runs isolated, inspectable, and easy to redirect without killing speed.
Public reaction is strongest around the idea of reviewing changes while they are being generated. People like the edit-level explanations and the ability to side-chat on one part of a run without derailing the whole session. The recurring caution is whether another control layer adds too much interface overhead for teams that already feel buried in panes, approvals, and dashboards.
Handler improves visibility, not judgment. If the underlying agent is making weak architectural choices, Handler mainly helps you catch them earlier. Teams still need discipline around secrets, sandbox images, and when a fork is useful versus when the run should just stop.
Alternatives include Replicas, Grass, SuperHQ, OpenCode with manual git worktrees, and lighter post-run review tools such as Stage CLI plus a normal pull request workflow.
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