Integration Guide

Delvyn + Linear

Delvyn Studio is a product specification tool for teams that use Linear: Delvyn writes product specs from vision, OKRs, and discovery; Linear and its AI agent execute those specs. At $9/leader/month (engineers free), it adds the strategic layer Linear Agent cannot provide.

Linear Agent writes engineering specs from operational context. Delvyn writes product specs from strategic context. Know when each is enough — and when you need both.

When is Linear Agent enough?

Linear Agent + Skills is now free on every Linear plan. It's genuinely powerful. Here's when it's all you need.

Linear Agent is enough when…

  • Small team (< 10 people), engineering-led
  • No formal product strategy or OKR practice
  • Engineering leads prioritization decisions
  • Specs are primarily technical (API design, refactors)
  • One PM or tech lead owns the full picture in their head
  • MCP context from Notion/Granola/PostHog is sufficient

You need Delvyn when…

  • PMs are accountable for product strategy
  • OKRs drive what gets built (not just backlog priority)
  • Multiple stakeholders need alignment on specs
  • You practice product discovery before building
  • AI agents should build strategically, not just technically
  • You want a learning loop: specs improve over time

The core difference

Linear Agent writes engineering specs from operational context — what's in Linear, Slack, Notion, PostHog. Delvyn writes product specs from strategic context — vision, OKRs, discovery insights, guardrails, and past learnings. One is technically correct. The other is strategically aligned.

Feature
Delvyn Studio
Linear
Product Vision & Strategy
Yes
No
Strategic Guardrails
Yes
No
Product Discovery (Teresa Torres)
Yes
No
OKR Management
Yes
No
Agent Specification Generation
Yes
Linear Agent
AI Spec Coach
Yes
No
Learning Capture System
Yes
No
Issue Tracking & Sprints
No
Yes
Project Management
No
Yes
Triage & Workflows
No
Yes
AI Agent Delegation
Via Integration
Yes
MCP Context from External Tools
Yes
Yes
GitHub Integration
Yes
Yes
Context Sync to Repositories
Yes
No
Spec Grounded in OKRs + Vision
Yes
No
Documents / PRDs
Agent Specs
Linear Docs
Pricing Model
Per leader ($9)
Per user ($8)
Engineers Pay?
Free
$8/user
AI Agent (spec writing)
Included
Free on all plans

How they work together

Delvyn writes the product spec. Linear + AI agents execute it. The result: strategically aligned features, shipped fast.

1. Think

Define vision, validate through discovery, set OKR success criteria in Delvyn

2. Specify

Generate agent spec with full strategic context from Delvyn

3. Push to Linear

Spec becomes a Linear issue via MCP integration

4. Agents Execute

Linear Agent + Claude Code + Copilot implement with full context

Pricing comparison

Delvyn Studio

$9/leader/mo

Engineers & stakeholders are always free

A 10-person team with 2 product leaders costs $18/month total. Unlimited engineers.

Linear

$8/user/mo

Every user pays

A 10-person team costs $80/month. All members need a seat.

Frequently asked questions

What is the difference between Delvyn Studio and Linear?

Linear is an engineering execution platform with a built-in AI agent that writes engineering specs from operational context. Delvyn Studio is the product thinking layer that writes product specifications from strategic context — vision, OKRs, discovery, and guardrails. Linear Agent answers 'how to build this correctly'; Delvyn answers 'what to build and why.' Use both for the complete workflow.

Is Linear Agent enough for product specifications?

Linear Agent + Skills (free on every plan) excels at drafting engineering specs from Linear context and connected tools via MCP. It's genuinely enough for small teams without formal product strategy. But for teams where PMs are accountable for strategy, OKRs drive prioritization, and multiple stakeholders read specs — you need the strategic context layer that Delvyn provides upstream.

How do Delvyn Studio and Linear work together?

Delvyn Studio writes product specifications grounded in vision, strategy, OKRs, and discovery. These push to Linear as context-rich issues. Linear Agent and AI coding agents (Claude Code, Copilot, Cursor) then implement from those specs with full strategic alignment. Delvyn provides the 'why and what'; Linear provides the 'how and when.'

When is Linear Agent enough vs when do I need Delvyn?

Linear Agent is enough when: you're a small team, engineering leads prioritization, and you don't practice formal product strategy. You need Delvyn when: PMs own strategy, OKRs drive what gets built, multiple stakeholders need alignment, and you want AI agents building strategically — not just technically correctly.

Add the strategic layer to your Linear workflow

Start free and generate your first product specification. Push to Linear and let AI agents implement with full strategic context.

Delvyn Studio vs Productboard →What Is SDPM? →