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Use case · review gates

Review gates for AI coding agents.

AFK helps teams move from unattended agent experiments to governed engineering workflows with plan review, permission modes, tool approvals, browser steering, and webhook-triggered automations that can pause for human judgment.

• Plan mode lets agents inspect first, propose a change, and wait before editing.

• Permission modes control when tool calls, writes, and commands need approval.

• Browser-visible steering lets engineers add constraints while the session is still alive.

• Webhook and scheduled runs can use the same approval semantics as manual sessions.

Approve plans before execution

Require an agent to describe the approach and wait for confirmation before touching production-sensitive code paths.

Gate risky tools

Run read-only exploration freely while requiring confirmation for commands, file writes, or broader changes.

Keep audit context

Review the plan, tool calls, approvals, and final answer together when assessing whether an agent acted safely.

The hard part of adopting autonomous coding agents is not only whether they can write code. It is whether a team can see, constrain, approve, and audit what the agent did before the work affects shared repositories.

AFK treats human-in-the-loop controls as part of the session lifecycle. Approvals, plan review, live steering, and final results stay attached to the same durable browser trace as the generated code and command output.

Related searches: review gates for AI coding agents, human in the loop coding agents, AI agent approval workflow, plan review for coding agents, governed autonomous coding

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