AI Coding Live News

Claude Code lead Boris Cherny on faster usage drain: every shared session reviewed, no regression found, fixes for a few smaller issues rolling out

Since Oct 21 many developers on X have complained that Claude Code was draining usage limits much faster. On Oct 28 (UTC) Boris Cherny, who leads Claude Code at Anthropic, replied on X that the team reviewed every session ID users shared, found no single root cause and no regression in Claude Code, and is rolling out fixes for a few smaller issues that made some sessions burn tokens faster. Most fast-drain cases traced back to one or two heavy sessions using xhigh effort, /goal, Workflows, Agent Teams or long SDK jobs.

Key Takeaways

  • The complaint post that started it said usage was draining 5x faster and drew about 1,660 likes and 240+ replies (a user claim, not official data)
  • Boris Cherny: the team checked every shared session ID, found no single root cause or Claude Code regression, and is rolling out fixes for a few smaller issues
  • Heavy features were the main driver: xhigh effort, /goal, Workflows, Agent Teams and long SDK jobs
  • Subagents inherit the session effort level by default, which adds up fast; /usage shows where tokens went
  • The official docs say Agent Teams use about 7x more tokens than standard sessions when teammates run in plan mode
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Claude Code 2.1.274: 108 CLI changes, tool_use_id loop fix, MCP and memory warnings

The unofficial-but-tolerated Claude Code Changelog bot (@ClaudeCodeLog) posted 2.1.274 with 108 CLI changes. Highlights: a visible critical-memory warning with safe free/restart steps; sessions no longer loop forever on unexpected tool_use_id 400s (transcripts self-heal when possible, else a clear /rewind error ends the loop); MCP 403 insufficient_scope now names missing permissions and points to /mcp re-auth; CLAUDE_CODE_MCP_STARTUP_WAIT_MS bounds how long the first non-interactive turn waits for MCP servers. Many more MCP/stream, /goal resume, self-hosted runner 401, VS Code, and cloud session/routine fixes. Source: anthropics/claude-code CHANGELOG #21274.

Key Takeaways

  • 2.1.274 ships 108 CLI changes: critical-memory warning with safe restart steps
  • Stops unexpected tool_use_id 400 retry loops; transcripts self-heal or show /rewind
  • MCP 403 names missing scopes and points to /mcp; CLAUDE_CODE_MCP_STARTUP_WAIT_MS added
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Grok Build CLI v1.0.22: first-party MCP for desktop tools, built-ins beat colliding user MCP, remote device grouping

blankspeaker (@blankspeaker) shipped Grok Build v1.0.22 (2026-09-07): desktop-app tools via a dedicated first-party MCP; built-in agent tools take precedence over user MCP servers on name collisions; remote-control pickers can group servers by device, plus subagent/skills/compact/goal fixes.

Key Takeaways

  • Release: Grok Build CLI v1.0.22 (2026-09-07).
  • MCP: first-party desktop-tool MCP; built-ins win name collisions vs user MCP.
  • Remote: device-grouped server pickers; subagent/skills and related fixes.
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GitHub Copilot App weekly: /goal for local autopilot, MCP deep-link install, Power BI MCP

GitHub Copilot App weekly recap (Aug 29–Sep 5): 1 release and 237 improvements. Highlights include /goal for persistent autopilot objectives in local sessions, MCP install via deep link with a prefilled review form, Power BI MCP in the catalog (hosted remote and local), and configurable reasoning effort for code-review agents. Notes: github.com/github/app/releases.

Key Takeaways

  • /goal sets persistent objectives for local autopilot sessions.
  • Install MCP servers via deep link with a prefilled confirmation form.
  • Power BI MCP joins the catalog; code-review agents can set reasoning effort.
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Cursor upgrades cloud agents with per-subagent VMs, /goal, and event-driven PR completion

Cursor shipped a cloud-agent update focused on long-running, event-driven work. Cloud agents can pick up tasks from events, hold a goal until it is met, and stay on course through long sessions. They can monitor pull requests, watch a Slack thread, or run scheduled tasks, and they automatically subscribe to PRs they create and drive them to completion. Any skill can be pinned as a Custom Mode from the slash menu with Option-Enter or Alt-Enter, acting as an always-on skill. Subagents can now run on their own virtual machines, each with an isolated copy of the project, so they can test the parent agent's changes in a fresh environment or swarm independent fixes. Steering waits for the next tool call instead of cutting the agent off mid-action. A new /goal command assigns a long-lived objective. The full changelog is dated August 19, 2026. Together these changes move Cursor from in-editor chat toward an orchestration layer for isolated, interruptible coding agents.

Key Takeaways

  • Cloud agents monitor PRs, Slack, and schedules, and they drive their own PRs to completion.
  • Subagents run on isolated VMs with their own project copies for clean tests or parallel fixes.
  • /goal sets long-lived objectives, and steering now waits for the next tool call instead of interrupting mid-action.
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Cursor Cloud Agents Gain Long-Lived Goals, Automated PR Watchers, and Isolated Subagent VMs

Cursor updated its cloud agent infrastructure with persistent /goal execution, automated PR event subscriptions, isolated subagent VMs, and non-blocking human-in-the-loop steering.

Key Takeaways

  • /goal command transforms coding agents into persistent workers executing complex multi-step objectives;
  • Isolated VMs allow subagents to compile and test modifications without contaminating the primary branch;
  • Automated PR monitoring ensures agents respond to code review feedback and CI checks through final merge.
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Cursor Cloud Agents Add Persistent Goals, PR Triggers, and Isolated Subagent Virtual Machines

Cursor updated its cloud agents with event-driven execution, persistent /goal tracking across PRs and Slack, and isolated VM subagents for clean parallel debugging without context drift.

Key Takeaways

  • Shifts agents from conversational assistants into event-driven autonomous workers monitoring PRs and Slack;
  • Isolated VM subagents execute parallel bug fixes in clean environments without cross-task interference;
  • Non-blocking steering mechanism waits for tool completion before gracefully applying human feedback.
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Cursor Cloud Agents Get Long-Lived Goals, Isolated VM Subagents, and Event-Driven PR Automation

Cursor shipped major cloud-agent enhancements including persistent /goal objectives, isolated VM sandboxes for parallel subagent execution, and automated event-driven PR resolution.

Key Takeaways

  • New /goal directive maintains persistent multi-step objectives until task completion across long sessions;
  • Subagents execute inside isolated VM sandboxes with clean project copies for parallel test runs and bugfixes;
  • Event-driven triggers enable agents to listen to GitHub PRs or Slack messages and autonomously drive PRs to merge.
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Cursor upgrades cloud agents with /goal tracking, PR event hooks, and isolated VM subagents

Cursor upgraded its cloud agents to persist long-lived objectives via /goal commands, auto-subscribe to PR discussions and CI events, and spawn subagents inside isolated VM sandboxes. Each subagent runs on a fresh repository clone for parallel testing without dirtying the working branch.

Key Takeaways

  • Introduces /goal state machines allowing cloud agents to drive multi-hour refactors to completion.
  • Watches GitHub PR comments and CI webhooks to automatically apply requested review changes.
  • Subagents execute inside isolated VM sandboxes for parallel, safe hypothesis testing.
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Cursor Upgrades Cloud Agents: /goal Long Tasks, Isolated VM Subagents, Auto-Drive PRs to Done

Cursor improved cloud agents so they pick up work from events and hold a goal until it is met. /goal sets a long-lived objective, subagents can run on isolated VMs with their own project copies, and cloud agents auto-subscribe to PRs they open and drive them to completion.

Key Takeaways

  • /goal gives the agent a long-lived objective to pursue until the work is actually complete
  • Subagents can run on their own VMs with isolated project copies for tests or parallel fixes
  • Cloud agents auto-subscribe to PRs they create and can watch Slack threads or scheduled jobs to the end
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Cursor cloud agents gain /goal, VM-isolated subagents, and PR-to-completion ownership

Cursor upgraded cloud agents: /goal holds a long-lived objective until it is done; subagents can run on their own VMs with isolated project copies to test parent changes or swarm independent fixes; cloud agents subscribe to PRs they open and drive them to completion, and can watch Slack threads or run scheduled jobs. Steering now waits for the next tool call instead of cutting the agent mid-action. Any skill can be pinned as a Custom Mode (always-on).

Key Takeaways

  • Coding agents are shifting from one-shot chats to workers that own PRs, Slack threads, and schedules.
  • VM-isolated subagents let test and swarm-fix run without contaminating the parent workspace.
  • /goal plus deferred steering is the interaction model for long sessions that stay on course.
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