SpecBot is a Linear integration that reviews issue quality before engineering handoff. It scores completeness, flags missing context, and helps teams improve specs before humans or coding agents start implementation.

SpecBot is for product teams, engineering managers, and AI-assisted delivery teams that want clearer tickets, better acceptance criteria, and less rework during implementation.

Quality gate for Linear issues

Prevent bad specs from reaching engineering.

Q: What does SpecBot check?

SpecBot checks problem clarity, expected behavior, acceptance criteria, edge cases, technical context, dependencies, reproduction steps, and scope clarity.

SpecBot scores every Linear issue for completeness, flags missing context, and enriches specs before developers or AI coding agents start work.

Install on Linear See how it works

Reduce rework, improve issue quality, and make tickets ready for Codex, Copilot, Cursor, and engineering teams.

LIN-142 · login bug

Incoming issue

Fix login bug

Users say login is broken. Need a fix soon.

No acceptance criteriaScope unclearPriority missing

What SpecBot catches

- Which login flow is affected
- Expected behavior after the fix
- Acceptance criteria and edge cases
- Dependencies, repro steps, and actual scope

SpecBot reviewFAIL · 34/100

Clear user problem25/100

Expected behavior35/100

Acceptance criteria10/100

Edge cases5/100

Technical context30/100

Dependencies15/100

Reproduction steps20/100

Priority and scope clarity30/100

Recommended next action

Flag below threshold, ask the assignee to add reproduction steps and acceptance criteria, then re-score before handoff.

Spec-quality dimensions

<2s

Typical review time

80/100

Default pass threshold

Built to stop unclear tickets early

SpecBot keeps your backlog simple and marketplace-friendly while enforcing the issue quality standards engineering teams actually care about.

Core

🧭

Reduce rework

Catch missing problem statements, vague scope, and unclear expected behavior before they turn into engineering churn.

✅

Enforce acceptance criteria

Push every issue toward testable acceptance criteria so teams stop debating what 'done' means midway through implementation.

🧱

Prevent unclear tickets

Flag missing edge cases, dependencies, reproduction steps, and technical context while the issue is still easy to fix.

🤖

Ready for humans and agents

Make issues ready for Codex, Copilot, Cursor, and the engineering teams reviewing or implementing the work.

⚙️

Configurable quality gates

Choose comment only, auto-enrich, or block / flag below threshold. Add stale issue detection and notify the right owner.

📊

Simple dashboard

Track issues analyzed, average spec score, issues improved, low-quality tickets, and estimated rework avoided.

Quality gates your team controls

Keep adoption easy in Linear while deciding how strict SpecBot should be before work reaches engineering.

Comment only

Auto-enrich

Block / flag below threshold

Stale issue detection

Notify assignee or team lead

Three steps to better issue quality

Install

Connect SpecBot to your Linear workspace with one OAuth click and keep your current workflow intact.

Score and enrich

SpecBot reviews every new issue for completeness, flags missing context, and suggests stronger specs automatically.

Hand off cleanly

Engineering teams and coding agents start from clearer tickets with less rework and fewer avoidable back-and-forth cycles.

Direct answers for search and AI retrieval

What SpecBot is, who it helps, and why teams use it

These short answers are written for fast comprehension by buyers, partners, search engines, and coding agents that need to understand the product quickly.

What SpecBot does

SpecBot reviews every Linear issue for completeness before engineering handoff and flags the missing context most likely to slow delivery down.

Who SpecBot helps

Product teams, engineering leads, and AI-assisted build workflows use SpecBot to keep low-quality tickets from reaching implementation unchanged.

Why teams install it

Cleaner specs mean fewer clarification loops, stronger acceptance criteria, and better tickets for both human engineers and coding agents.

Common questions

Clear, answer-oriented FAQ content improves traditional SEO and makes the product easier to cite correctly in AI-generated summaries.

What does SpecBot score inside a Linear issue?

SpecBot scores clarity, expected behavior, acceptance criteria, edge cases, technical context, dependencies, reproduction steps, and scope or priority clarity.

Is SpecBot only for human engineering teams?

No. It is also useful for AI-assisted delivery because coding agents need strong issue context to produce reliable implementation plans and code changes.

How strict can the quality gate be?

Teams can start with comment-only guidance, then move to auto-enrichment or threshold-based blocking and flagging once the workflow is trusted.

Reduce rework before sprint time gets wasted

Install SpecBot in under 30 seconds and start preventing vague, low-context issues from reaching engineering.

Install on Linear