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Agent Activity

Updated October 4, 2026

Overview / Description

Agent Activity is an AI developer tool for macOS that gives Xcode AI agent monitoring in one window, so iOS and macOS developers can watch a coding agent build, test, and fix without leaving their machine. It pulls live agent sessions, build timelines, and test results into a single session timeline that shows each build progression and the fixes applied between runs. The build panel groups compiler errors by file, with every error carrying its source line, so diagnosing a failed iteration does not mean scrolling raw logs. It also captures simulator screenshots and lets you inspect the UI hierarchy tree, and it includes permissions management for deciding which agents and folders are trusted. Everything runs locally: there are no cloud servers and no transcripts leave your Mac, with optional usage analytics only after explicit consent. For developers evaluating where an agent-based workflow actually spends its time, this is the kind of focused, single-purpose utility BestAIFor tracks: it does one job, observing Xcode AI agents, rather than trying to be a full IDE replacement.

Used For

Monitoring Xcode AI agents' builds, errors, and test runs locally on macOS

Pricing

Plan

$9.99/month

$9.99 one-time on the Mac App Store

View pricing

Pros & Cons

Pros

  • Session timeline shows build progression and the fixes an agent applies between runs
  • Build panel groups compiler errors by file with each error's source line attached
  • Captures simulator screenshots and exposes the UI hierarchy tree for inspection
  • Runs entirely locally with no cloud servers or transcripts leaving the Mac
  • Permissions management for which agents and folders are trusted

Cons

  • macOS only, and requires macOS 26 or later
  • Narrowly scoped to Xcode AI agent workflows; not useful outside iOS/macOS development
  • Paid up front via the Mac App Store with no free tier shown

Questions & Answers

Alternatives

Xcode's built-in build log, Instruments, and general LLM observability tools like LangSmith

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