OpenSpec

Active

Plan mode for complex features

Winter 2026Founded 2025

openspec.dev ↗See on the Idea Map B2B momentum

Generate ideas →

AI insightcan contain mistakes

Spec-Driven Development FrameworkOtherDevelopers and development teamsMedium competition

Moat

Open-source community; strong developer adoption (20K stars); lightweight spec philosophy.

Key risk

Open-source monetization is difficult; incumbents (Jira, Linear) could add spec-driven features.

Why now

AI agents need durable context; spec-driven development aligns with how coding agents work.

Competitors

Jira, Linear, GitHub Issues, traditional documentation tools

About

OpenSpec is an open-source, spec-driven framework. We help developers plan complex features by creating lightweight spec documents that serve as durable context for their coding agents. With 20k+ GitHub stars, we’re one of the leading spec-driven frameworks, used by thousands of developers and teams to plan and ship with the coding agent of their choice. Our philosophy is simple: keep planning lightweight and iterative, and match how software actually gets built, messy, evolving, and real, without dragging teams into rigid, bureaucratic workflows.

Founders · 1

Tabish BidiwaleFounder

Building OpenSpec, the open-source spec-driven framework that makes AI coding reliable on complex work. 20k+ GitHub stars. Previously Team Lead at Q-CTRL. Joined as an early engineer and built the core platform and multiple products from seed to a $113M Series B. While at Q-CTRL, I saw coding agents recreate the same failure mode as human teams: misalignment. Existing tooling wasn’t built for that shift, which led me to building OpenSpec.

LinkedIn ↗X ↗

Launch

Launched on Y Combinator · Mar 2026

View launch post ↗

27k+ stars. The open-source spec layer for AI-assisted development

OpenSpec launches an open-source spec framework that adds an openspec/ folder with a spec library and a changes system to document and evolve how a system works before coding. It integrates with 20+ AI tools, aims to improve alignment between AI-generated code and requirements, and targets engineering teams using AI coding tools across multi-repo projects.