The Scene

It's the last day of the cycle. Tomás is a product lead at a 40-person startup that ships on two-week cycles, religiously. Linear is the heartbeat — every feature, bug, and tech debt item lives there. The team is good. The process is good. The problem is the space between.

There are 14 issues still marked "In Progress" that should have moved to "In Review" when their PRs were opened on GitHub. There are 6 issues from the previous cycle that nobody explicitly rolled over — they're just sitting there, technically still assigned to Cycle 11. A designer posted a Figma link in a Slack thread three days ago and asked someone to attach it to LIN-847, but it fell through the cracks. A customer-reported bug from Intercom got triaged into the backlog last week, and the support lead has asked twice whether it's been picked up.

Tomás spends 45 minutes every morning reconciling these gaps. Not building product. Not making decisions. Just making sure the system of record actually reflects reality. He calls it "Linear gardening." It's the most important work nobody wants to do, and if he skips a day, the cycle review turns into a 90-minute forensic exercise in "wait, what happened to this issue?"

Now imagine Tomás opens Linear on that same last day. Every PR-linked issue has already been moved to "In Review" — automatically, the moment the PR was opened. The 6 rolled-over issues have been assigned to the current cycle with a comment explaining the carry-over. The Figma link is attached to LIN-847 with a note citing the Slack message it came from. The customer bug has a priority label, an assignee, and a comment linking back to the Intercom conversation.

Tomás didn't do any of it. His atoms did — watching Linear triggers, cross-referencing GitHub events, pulling context from Slack, and keeping the workspace clean so the humans can focus on building product. He opens the cycle review at 10 AM. It takes 22 minutes. Everyone knows where everything is.

Supanova + Linear

Your product team already ships fast. Let atoms handle the process around it.

Supanova deploys AI atoms into your Linear workspace to triage issues, manage cycles, coordinate cross-tool workflows, and keep your product team focused on building — not gardening. With 21 actions and 3 real-time triggers, atoms operate Linear the way your best PM would if they never had to sleep, eat, or context-switch.

Start automating Linear — 100+ tasks on the house →

Set up your workspace, meet your AI workforce, and connect Linear in under three minutes. No credit card required.

Why Linear teams need an AI workforce

Linear was built for speed. Two-week cycles, keyboard-first navigation, sub-second load times. But the workflows around Linear — the triaging, the cross-referencing, the status syncing, the cycle hygiene — still run at human speed.

Product teams spend an average of 23% of their working hours on project management overhead rather than building product (Asana Work Index, 2025). That's not because the tools are bad. It's because keeping a project management system accurate is a continuous, manual labor that scales linearly with team size. Every new engineer adds more issues. Every new project adds more context to track. Every new tool adds another place where information needs to be synchronized.

Linear's own philosophy is that "software project management should not be the bottleneck." Supanova agrees. Atoms handle the connective tissue — the status updates, the label assignments, the cross-tool notifications, the cycle rollovers — so your team can focus on the work that requires human judgment: prioritization decisions, architecture trade-offs, and the creative work of building product.

According to Jellyfish's 2025 Engineering Management Report, engineering teams that automate project management overhead ship 31% more features per cycle without increasing headcount. The bottleneck isn't your engineers. It's the process tax on your engineers.

What Supanova atoms do in Linear

Issue Triage and Classification

When a new issue is created — from a customer report, a teammate's quick capture, or an automated source — atoms read the title and description, classify it by type and severity, apply labels from your existing taxonomy, set priority, and assign it to the right team member based on component ownership and current workload. The Issue Created trigger fires in real time, so triage happens within seconds of submission, not the next morning when someone remembers to check the backlog.

Cycle Management

Atoms monitor cycle progress across teams. When issues stall, atoms flag them with context — how long they've been in the current state, what's blocking them, whether the assignee has related GitHub activity. At cycle boundaries, atoms handle the mechanical work: rolling over incomplete issues, compiling cycle velocity metrics, and generating summaries of what shipped versus what carried over. Your cycle review becomes a 20-minute decision meeting, not a 90-minute archaeology session.

Cross-Tool Issue Linking

When a GitHub PR references a Linear issue, atoms update the issue state, attach the PR link, and notify the team in Slack. When a customer reports a bug through Intercom or Zendesk, atoms create the Linear issue with the full conversation context, priority classification, and customer impact assessment. The issue lives in Linear; the context comes from everywhere.

Label and Workflow State Management

Atoms manage labels across your workspace — applying them based on issue content, removing them when they're no longer relevant, and maintaining consistency across teams. They retrieve workflow states per team and transition issues through your custom workflows based on external signals (PR merged → move to "Done"; deploy confirmed → move to "Released").

Comment and Attachment Management

Atoms post structured comments on issues with context from other tools — build results, deploy status, customer feedback, design links. They create and manage attachments, linking relevant files to issues without anyone manually copying URLs between tabs.

GraphQL Wildcard

For advanced use cases, atoms can execute arbitrary GraphQL queries and mutations against the Linear API — enabling custom reporting, bulk operations, and workflow patterns that go beyond the standard action set.

How product teams use Supanova with Linear

How do you keep Linear in sync with GitHub without manual updates?

Your engineers open PRs on GitHub. Your issues live in Linear. The two should be in lockstep, but they're not — because someone has to manually move the issue from "Todo" to "In Progress" when work starts, then to "In Review" when the PR opens, then to "Done" when it merges. Multiply that by 50 issues per cycle and you've got a full-time status-updating job.

Atoms watch GitHub events and Linear triggers simultaneously. When a PR opens that references a Linear issue, the atom moves the issue to "In Review," attaches the PR link, and posts a comment with the PR summary. When the PR merges, the atom transitions the issue to "Done" and notifies the team lead in Slack. Your Linear board always reflects reality because atoms are the bridge between where work happens (GitHub) and where work is tracked (Linear).

How do you triage 30 issues a day without a dedicated PM doing morning triage?

Startups at the 30-50 person stage generate issue volume that outpaces any single person's ability to triage. Customer bugs come in from support. Engineers file tech debt items between meetings. Product captures feature requests during user interviews. By morning, there are 15-30 new issues with no labels, no priority, no assignee.

Atoms triage every issue as it arrives. The Issue Created trigger fires immediately, and the atom classifies the issue, applies labels, sets priority based on keywords and component signals, assigns it to the right engineer, and attaches it to the current cycle if it's urgent enough. When your PM opens Linear in the morning, they're reviewing triage decisions, not making them from scratch.

How do you run a cycle review without spending 90 minutes on "what happened to this?"

Cycle reviews should be forward-looking: what did we learn, what should we prioritize next, how do we improve? Instead, most cycle reviews are backwards-looking forensics: which issues didn't get done, whose work carried over, why is this issue still open?

Atoms compile the cycle summary automatically — completed issues, carry-overs with reasons, velocity metrics, blocked items with context. The summary is posted to Slack or Notion before the meeting starts. Your cycle review begins with decisions, not data gathering.

Sample AI workflows with Linear

Workflow 1: Customer Bug → Triage → Fix → Notification

Tools: Linear + Intercom + GitHub + Slack

1. Customer reports a bug through Intercom
2. Atom creates a Linear issue with the full conversation context, customer tier, and affected feature area
3. Atom classifies the issue as a bug, sets priority based on severity signals, and assigns it to the engineer who owns that component
4. Atom posts a summary to #eng-bugs in Slack with the Linear issue link and customer impact assessment
5. Engineer fixes the bug and opens a PR on GitHub referencing the Linear issue
6. Atom moves the Linear issue to "In Review" and attaches the PR
7. PR merges → atom transitions issue to "Done" and notifies the support team in Slack so they can close the Intercom conversation

Workflow 2: Cycle Planning → Execution → Review

Tools: Linear + Notion + Slack + GitHub

1. Atom compiles the previous cycle's summary — completed items, carry-overs, velocity metrics — and posts it to a Notion page and #product-updates in Slack
2. During the new cycle, atoms triage incoming issues in real time as they're created
3. Atoms sync Linear issue states with GitHub PR status throughout the cycle
4. As the cycle deadline approaches, atoms flag at-risk issues — those still in "Todo" or "In Progress" with no linked PR — and post a daily risk summary to the team lead
5. At cycle end, atoms roll over incomplete issues with carry-over notes and compile the next summary

Workflow 3: Design Handoff → Engineering → QA

Tools: Linear + Figma + Slack + GitHub

1. Designer marks a Figma file as ready and posts the link in a Slack channel
2. Atom creates a Linear issue (or updates an existing one) with the Figma link attached, assigns it to the designated engineer, and moves it to "Ready for Dev"
3. Engineer begins work → atom tracks the GitHub branch and PR
4. PR is opened → atom moves issue to "In Review" and notifies the designer in Slack for visual QA
5. Designer approves → atom adds a "Design Approved" label
6. PR merges → atom transitions to "Done" and compiles a release note

Frequently asked questions about Supanova + Linear

How does Supanova connect to Linear?

Supanova connects to Linear via OAuth2 or API key authentication, giving AI atoms access to 21 discrete actions across issues, projects, cycles, labels, comments, and attachments — plus 3 real-time triggers for issue creation, issue updates, and new comments. No code changes or webhook configuration required. Atoms start working within minutes of connection.

Can Supanova atoms triage Linear issues automatically?

Yes. When a new issue is created, atoms read the title and description, classify it by type and severity, apply labels from your existing taxonomy, set priority, assign it to the right team member based on component ownership, and attach it to the correct cycle or project. Real-time triggers mean triage happens within seconds of issue creation.

Does Supanova replace Linear's built-in automation?

No. Linear's automation handles rule-based workflows inside Linear. Supanova atoms work across your entire product stack — connecting Linear activity to GitHub, Slack, Notion, and other tools. When an issue moves to "In Progress" in Linear, atoms can assign the GitHub PR reviewer, post a context summary to the team's Slack channel, and update the project spec in Notion. Linear automation cannot cross tool boundaries. Supanova can.

What Linear actions can Supanova atoms perform?

Atoms access 21 discrete Linear actions: issue creation, updates, and archival; comment creation; label creation and removal; cycle and project listing; attachment creation and download; team and user retrieval; workflow state listing; and a GraphQL wildcard action for advanced queries. Plus 3 real-time triggers: issue created, issue updated, and comment received.

Is my Linear data secure with Supanova?

Supanova authenticates via OAuth2 or API key with workspace-level scoping. Atoms only access the Linear workspace you authorize. All API communication is encrypted in transit. Atoms read issue data and metadata to perform workflow actions — they do not export or store your data outside your authenticated environment. You can revoke access at any time from your Linear settings.

How long does it take to set up Supanova with Linear?

Under three minutes. Authenticate your Linear workspace, assign atom roles, and configure which teams and projects atoms can access. Real-time triggers begin firing immediately — atoms start triaging new issues as soon as the connection is live.

Works with your entire product stack

Supanova atoms don't stop at Linear. The workflows above become possible because atoms operate across every tool your product team uses.

Your team already ships fast. Let atoms handle the rest.

Your engineers are spending their mornings triaging instead of building. Your cycle reviews are forensic exercises. Your Linear board drifts from reality by Tuesday. Your PM is doing "Linear gardening" instead of making product decisions.

Supanova atoms connect to Linear in under three minutes and start working across your entire product stack immediately — triaging issues, syncing states, managing cycles, and keeping every tool in sync.

Your backlog is waiting — start automating Linear now →

100+ tasks and projects on the house. Connect Linear in under three minutes. No credit card required.