Plane vs Linear
Side-by-side trajectory, velocity, and editorial themes.
Plane is climbing the enterprise ladder — custom roles and granular permissions — while bolting Plane AI into the editor.
Plane is on a roughly fortnightly cloud changelog cadence. Two structural moves stand out. The April 25 release redesigned the permissions system into a two-layer access model with per-resource overrides, a new Workspace Admin role, and custom roles for Enterprise. The May 15 release deepened the data and AI surface: PQL in Dashboards, URL-based media embeds in the editor, Gantt for Teamspace, customer requests on work items, bulk-copy across projects, and Plane AI editing pages. The changelog source duplicates each release into multiple scraped entries.
Plane is moving up-market in two coordinated directions: enterprise-grade access control (custom roles, granular permissions, soon almost certainly audit logs and SCIM) and a data/AI analyst layer grafted onto the tracker (PQL as the query language for dashboards and work-item search, Plane AI taking write-actions). The intent looks like a head-on competitive position against Linear and Jira at the enterprise tier rather than the friendlier-alternative role Plane occupied earlier.
Expect SCIM, SAML refinements, or admin audit logs to follow the custom-roles redesign as the rest of the enterprise checklist. On the AI side, Plane AI write-actions extend from pages to work items themselves — bulk edits, generated descriptions, or automation rules driven from the chat.
Linear keeps pushing its Agent deeper — from Teams chat to MCP tools to the actual codebase.
Linear is rapidly converting itself from issue tracker into an agent-native engineering coordination layer. Every major shipment in the last month — Microsoft Teams entry point, MCP tool access, Releases tracking, and now Code Intelligence — extends what Linear Agent can reach. The traditional issue-tracking surface continues to receive steady fixes and quality-of-life work, but the strategic energy is concentrated on giving the Agent more context and more reach.
Linear is positioning its Agent as a workspace orchestrator rather than a chat assistant bolted onto issues. The progression is unmistakable: first messaging surfaces (Slack, Teams), then external tools via MCP, now the codebase itself. Each step removes a reason a user would need to leave Linear to answer a work question, and steadily makes the Agent useful to PMs, support, and sales — not just engineers writing tickets.
Expect Linear to keep widening the Agent's reach into adjacent technical surfaces — CI/CD signals, incident tools, design and data systems — and to introduce paid Agent-action tiers as usage proves out. The Code Intelligence beta will likely move to general availability with codebase-scoped permissions becoming a first-class enterprise feature.
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