# SpecBot

Website: https://specbot.dasgroupllc.com/
Company: DAS Group LLC
Last updated: 2026-05-16

## Summary

SpecBot is a quality gate for Linear issues. It scores every issue before it enters a cycle, flags missing context, and keeps human- and agent-created work implementation-ready. Every review includes a cycle-readiness verdict, a list of flagged gaps, and a recommended next action posted directly on the issue thread.

## Core job

SpecBot exists to reduce rework caused by vague or incomplete tickets — whether written by a human, an AI agent, or a coding tool. Instead of letting weak Linear issues flow directly into a cycle, it helps teams enforce issue readiness before engineering starts work.

## Strategic positioning

As Linear and other tools add native AI agents, teams create more AI-generated issues, specs, and tasks at scale. SpecBot is the review and quality gate layer that checks whether human- and agent-created Linear issues are implementation-ready before they enter cycles. It does not compete as a generic Linear agent — it is the QA layer for issue quality.

## Who it is for

- Founders and PMs writing or reviewing tickets
- Engineering leaders who want cleaner issue intake
- AI-native teams using Linear agents, Codex, Copilot, or Cursor to create issues
- Teams that need stronger acceptance criteria and less ambiguity before development starts

## What SpecBot checks

- Clear user problem
- Expected behavior
- Acceptance criteria
- Edge cases
- Technical context
- Dependencies
- Reproduction steps
- Priority and scope clarity

## Issue-type quality gates

SpecBot applies issue-type-aware rules in addition to the overall score:

- Feature issues require a user problem statement and explicit acceptance criteria.
- Bug issues require reliable reproduction steps and expected vs. actual behavior.
- High-priority issues require scope clarity and dependency identification.

## Product behavior

SpecBot can be configured in multiple modes:

- Comment only — post a structured review with score, missing context, cycle-readiness verdict, and next action
- Auto-enrich — suggest missing detail aggressively so tickets are easier to tighten before cycle planning
- Block or flag below threshold — mark issues as failed until they meet the minimum readiness score
- Stale issue detection
- Assignee or team-lead notifications

## Why AI-assisted teams use it

As teams use AI agents and coding tools to create Linear issues at scale, issue quality becomes a production risk. SpecBot reviews every AI-generated issue before it enters a cycle — flagging vague scope, missing acceptance criteria, and incomplete context that cause agent runs to go off-track or produce unreliable plans.

## Primary pages

- [Home](https://specbot.dasgroupllc.com/)
- [Dashboard](https://specbot.dasgroupllc.com/dashboard)

## Fast answers

### What is SpecBot?

SpecBot is a quality gate for Linear issues that scores readiness from 0–100, flags missing context, and posts a cycle-readiness verdict on every new issue.

### Who is SpecBot for?

It is for founders, PMs, engineering leads, and AI-native teams that want implementation-ready issues and less rework during engineering.

### What problem does SpecBot solve?

It prevents low-context, low-quality tickets from entering a cycle — whether those tickets were written by a human or generated by an AI agent.

### What makes it different?

It focuses on issue readiness, acceptance criteria, and cycle-planning gates rather than generic project-management automation. It reviews AI-created issues the same way it reviews human-written ones.