# SpecBot

Website: https://specbot.dasgroupllc.com/
Company: DAS Group LLC
Last updated: 2026-04-29

## Summary

SpecBot is a Linear integration that reviews issue quality before engineering handoff. It scores every issue for completeness, flags missing context, and helps teams improve specs before a human engineer or a coding agent begins implementation.

## Core job

SpecBot exists to reduce rework caused by vague or incomplete tickets. Instead of letting weak issues flow directly into implementation, it helps teams enforce clearer expectations at the spec stage.

## Who it is for

- Product managers writing or reviewing tickets
- Engineering leaders who want cleaner issue intake
- Teams using Codex, Copilot, Cursor, or other coding agents
- Organizations 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

## Product behavior

SpecBot can be used in multiple modes:

- Comment only
- Auto-enrich
- Block or flag below threshold
- Stale issue detection
- Assignee or team-lead notifications

## Why AI-assisted teams use it

Coding agents perform better when the source ticket is concrete. SpecBot improves the issue before the agent sees it, which reduces ambiguity and helps the implementation workflow start from stronger requirements.

## Primary pages

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

## Fast answers

### What is SpecBot?

SpecBot is a Linear integration that reviews issue quality before engineering handoff and helps teams improve ticket clarity.

### Who is SpecBot for?

It is for product teams, engineering leaders, and AI-assisted delivery teams that want cleaner specs and less implementation churn.

### What problem does SpecBot solve?

It prevents low-context, low-quality tickets from reaching implementation unchanged.

### What makes it different?

It focuses on spec readiness, acceptance criteria, and issue completeness instead of generic project-management automation.