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// Glossary · Virex Remote

AI coding agent observability

Also called: agent monitoring, session visibility, agent oversight

What is AI coding agent observability?

Observability for AI coding agents is the ability to see what an agent is doing while it works, what it is blocked on, and what it did after the fact. It operates on the units an agent actually produces, meaning sessions, tool calls, permission decisions, and task progress, rather than on process metrics or log lines.

// In more depth

What there is to observe.

Agent work has a structure, and useful observability follows it rather than flattening it into text.

01

Live activity

What the session is doing right now: which tool is running, how long it has been going, and whether anything is pending. This is the difference between working and quietly stuck.

02

Blocking decisions

The moments an agent stops and waits. A run blocked on an unanswered permission request looks identical to a slow one unless the pending decision is surfaced as its own state.

03

Historical record

What happened across a completed session, including who approved what. This is what makes a run reviewable by somebody who was not watching.

// Why it matters

Why it becomes urgent.

It is optional while you sit next to the terminal, and mandatory the moment you do not.

Unattended runs need it

The value of a long-running agent depends on it not silently stalling. Without visibility, the failure mode is discovering hours later that nothing happened.

Teams need a shared view

Several agents across several machines is a fleet, and a fleet needs one place to see which are working and which are blocked.

Review needs a record

When an agent touches production code, somebody eventually asks what it did and who approved it. That answer has to exist afterwards.

// Commonly confused with

Commonly confused with.

Three adjacent practices.

Application observabilityMetrics, traces, and logs for a running service. Same word, different subject: here the thing being observed is an agent session, not a deployment.
LLM observabilityUsually focused on prompts, tokens, latency, and model output quality. Agent observability is about the work the agent performs and the decisions it raises.
Terminal streamingMirroring raw output. Useful, but it is text rather than structure, so a pending decision is a line to scroll past rather than an item to answer.
// FAQ

Agent observability questions

Is this just watching a terminal remotely?

No. Terminal output is unstructured text. Observability here means the session structure is preserved, so a pending permission request is a discrete item with an answer, not a line you have to notice.

What does Virex Remote show?

Live session activity, tool-call spans, task progress, and any pending decision, over a persistent link, plus the record afterwards.

Does it work across several machines?

Yes. Sessions belong to your organization rather than to one machine, so a team sees its fleet in one place.

Are approvals recorded?

Yes. Security events are audit-logged with the actor, the target, and the timestamp, so a decision made from a phone is as traceable as one made at the keyboard.

Does my code leave my machine to make this work?

No. Claude Code keeps running locally. Virex carries session state and control signals, and never executes customer code.

See what your agents are doing.

Virex Remote shows live session activity and every decision waiting on an answer.