Problem and expected behavior
SpecBot checks whether the issue explains the user problem and the behavior the team should deliver, not just a vague task label.
Linear Workflow
SpecBot for Linear
SpecBot for Linear is a spec quality gate that reviews every issue for completeness, flags missing context, and improves handoff quality before a developer or coding agent touches the ticket.
This page is deliberately explanatory rather than hype-heavy. It should help someone searching for Linear spec review, ticket quality gates, or AI-ready issue hygiene understand the product in one pass.
- Scores issues for clarity, scope, acceptance criteria, and missing context.
- Supports comment-only, auto-enrich, or issue-flagging modes.
- Useful before human engineering handoff and before AI coding workflows.
What It Checks
Issue quality in a format product and engineering teams can act on
The aim is to catch weak specs before they become slow implementation, churn, or avoidable back-and-forth between product and engineering.
Acceptance criteria and edge cases
It flags missing acceptance criteria, unclear done states, and obvious edge-case gaps that would otherwise show up mid-implementation.
Technical context and dependencies
SpecBot helps surface whether the issue has enough context for engineering to start without immediately asking follow-up questions.
How It Works
Linear-native quality gating
A Linear issue enters review
The issue reaches the webhook path or queue where SpecBot can assess spec quality before the engineering handoff happens.
SpecBot scores and diagnoses the issue
It looks for missing context, missing acceptance criteria, edge-case gaps, and the next action required before the issue is implementation-ready.
The team decides how strict the gate should be
Teams can treat it as a suggestion engine, a comment-only reviewer, or a stricter gate that flags issues below a threshold.
For product teams
Use SpecBot to catch vague tickets before they hit sprint work and become a chain of clarifying comments.
For engineering leads
Use it as an intake quality layer so engineers start from cleaner, better-scoped issues.
For AI coding workflows
Use it to improve the spec quality feeding automated implementation so the agent starts from a stronger source issue.
FAQ
Questions teams ask before trying a spec gate
What is SpecBot for Linear?
It is a quality gate for Linear issues that helps teams assess whether a ticket is actually ready for engineering handoff.
What does the score represent?
The score is a shorthand for issue completeness across clarity, acceptance criteria, context, dependencies, edge cases, and related signal.
Can it work without automatically changing issues?
Yes. The product can be used as a comment-only reviewer or suggestion layer instead of an auto-editing bot.
Why does this matter for AI coding agents too?
Because automation still needs clear specs. Better issue input usually means less drift, fewer assumptions, and fewer corrective iterations later.
CTA
Keep one clear SpecBot page while the product validates
This page is meant to explain the product simply and canonically until usage signals justify deeper SEO expansion.