Delegating Linear Issues to Coding Agents

Look forCursor needs Cursor's Pro or Ultra plan and starts a cloud agent when assigned or mentioned. Codex needs a ChatGPT Plus, Pro, Business, Enterprise, or Edu plan with cloud tasks and an environment, and posts a link to the finished task. Devin scopes an issue and posts a plan with confidence ratings before drafting a pull request. GitHub Copilot opens a draft pull request from its own environment. Linear's coding sessions run Claude Code or Codex with the model your admin picks.

Look forLinear's coding session guide contrasts "Search is broken" with an issue that names the file, the flag to respect, and the behavior to leave alone. Niptao's agent works only Todo issues that carry an agent label and copies every clarifying question and answer onto the issue, so the issue holds the whole conversation. A developer who runs Codex with the Linear MCP server lets the planning chat write the issue itself.

Look forWorkspace and team agent guidance set in Settings. Name the repository for each kind of change and the issue references commits need. Team guidance takes priority. Each third-party integration decides how its agent applies that guidance, so test it with every agent you install.

Look forAdmins choose teams at install time and can review installed agents. Agents cannot sign in, reach admin functions, or manage users. Turn on the setting that stops guests from interacting with agents if contractors should not spend AI credits.

Look forCoding sessions bill model tokens at provider rates with no markup plus US$0.25 per 20-minute sandbox block. Failed runs and retries are billable. Set a workspace limit and a default user limit in Usage and limits, since anyone with access can draw on the pooled balance. Credits expire 12 months after purchase.

Look forTriage automations can start coding sessions on issues that match a label or creator. Start narrow. One developer's company runs an agent on every new issue while it has free AI credits. The developer reports agents stuck in loops burning tokens and expects the setup to go when the credits run out. Niptao builds nothing without an explicit go, and a manual label fences an issue off from the agent entirely.

Look forCoding sessions return draft pull requests, and GitHub permissions and review requirements still decide what ships. Niptao's agent opens a pull request for every change and merges nothing. CI runs the full suite and a person reviews and lands it. Linear's customer story on Ramp says Ramp's in-house agent writes three of every four merged pull requests, and that the bottleneck moved from writing code to reviewing it.