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Spec-driven development (SDD) for AI coding assistants.
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
Problem solved
OpenSpec solves the problem of AI agents generating code without proper context or planning, leading to misaligned or incomplete implementations. Unlike ad-hoc prompting, it enforces a spec-first workflow where requirements, design, and tasks are documented and reviewed before coding, making it suitable for brownfield projects and team collaboration.
Deployment reality
The available setup signal starts with: npm install -g @fission-ai/openspec@latest. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build features end-to-end with AI assistance, from exploration and proposal to implementation and archiving. Real-world use cases include adding dark mode, cross-repo features, and shared requirements across teams. The ceiling includes managing complex, multi-repo projects with a single source of truth for specs and changes.
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Fission-AI/OpenSpec is tracked as a TypeScript project in the AI App area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 62k total stars, with +191 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 30 days ago, and the open issue queue is 372, about 0.60% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 4.3k forks and 62k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 191. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
62k Stars
Reuse
4.3k Forks
Attention
62k Watchers
Maintenance
moderate
License
MIT
Open issues
372
OpenSpec is a specification framework that helps teams and AI agents plan, document, and implement features collaboratively. It provides a structured workflow for exploring ideas, proposing changes, writing specs, and tracking implementation tasks.
Key Features
- Artifact-guided workflow with slash commands (/opsx:explore, /opsx:propose, /opsx:apply, /opsx:archive) - Stores for cross-repo planning and shared requirements - Plain Markdown specs with concrete scenarios, no special syntax needed
AI App
End-user AI applications and AI-native product examples
npm install -g @fission-ai/openspec@latest70
Health Score
Moderate
Commit Activity
Aug 5, 2025
Created
Jul 23, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
Fission-AI
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✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
OpenSpec solves the problem of AI agents generating code without proper context or planning, leading to misaligned or incomplete implementations. Unlike ad-hoc prompting, it enforces a spec-first workflow where requirements, design, and tasks are documented and reviewed before coding, making it suitable for brownfield projects and team collaboration.
Capabilities
Developers can build features end-to-end with AI assistance, from exploration and proposal to implementation and archiving. Real-world use cases include adding dark mode, cross-repo features, and shared requirements across teams. The ceiling includes managing complex, multi-repo projects with a single source of truth for specs and changes.
Bottom Line
OpenSpec is ideal for developers and teams using AI coding assistants who want structured, reviewable planning before code generation. It's less suited for rapid prototyping or solo developers who prefer minimal overhead. The key trade-off is upfront spec effort versus reduced rework and improved alignment.