GitHub Copilot is available in JetBrains Air through the Agent Client Protocol for local IDE work and isolated cloud tasks. Cloud tasks run in a fresh proxied VM, use the connected Copilot subscription and can be disabled by an Air administrator.
Why it matters: ACP makes one coding agent portable into another orchestration surface, but governance splits across JetBrains and GitHub. Air analytics do not include Copilot usage and administrators cannot set Copilot spending limits inside Air.
GitHub made its connected Copilot cloud experience generally available on paid plans, allowing the same cloud-agent session and resumable workspace snapshot to move across GitHub web, mobile, the Copilot app, CLI, VS Code, Slack and Teams while using connectors and MCP tools.
Why it matters: Long-running coding work is no longer tied to one client, which improves handoff but expands the identity, connector, sandbox and retained-snapshot boundary across more surfaces.
Cursor cloud agents can now create shareable interactive canvases, while a beta Environments API can programmatically create and manage their execution environments. Cursor also raised the documented environment limit to 300 repositories and says large environments load five times faster.
Why it matters: The release turns cloud-agent setup and visual results into programmable, shareable workflow components. It also expands the blast radius of environment credentials and repository access, so permission design matters more than the headline capacity.
Cursor launched Cloud Agent Builds: background-prepared bootable snapshots containing repositories, dependencies, and completed install steps. New environments use Builds automatically, while existing environments can test and enable them from the Cloud Agents dashboard.
Why it matters: Moving clone and dependency work out of the agent startup path can reduce startup failures and latency, while recorded build commits and logs improve reproducibility when agent runs diverge.
GitHub made the Copilot app generally available for assigning issues and coding tasks to cloud agents through repository workflows and reviewable pull requests.
Why it matters: Issue-driven delegation turns the tracker into an execution surface, making repository permissions, branch protection and review policy part of the agent contract.
GitHub said Copilot coding agent now begins assigned work 50 percent faster after reducing cloud-environment startup latency. Developers can delegate from issues, pull requests, or the Agents interface while the agent works in a hosted environment and pushes tested changes.
Why it matters: Agent usefulness depends on orchestration overhead as well as model intelligence, and shorter startup time makes smaller delegated tasks economically and ergonomically viable.
Cursor began gradually previewing Background Agent on May 15 with parallel remote environments, status checks, follow-ups, and takeover. On May 19, GitHub put Copilot coding agent into public preview, letting users assign issues that produced tested draft pull requests in a GitHub Actions environment.
Why it matters: Coding assistance became asynchronous delegation: the unit of value shifted from an inline suggestion to a reviewable pull request created while the developer did other work.
OpenAI launched Codex as a cloud software-engineering agent that could work on multiple repository tasks in parallel, run tests in isolated environments, and return file changes plus terminal evidence for review.
Why it matters: It made the remote sandbox a core unit of an AI product and normalized asynchronous software work with provenance attached to the result.