naeos
NAEOS is an open-source engineering runtime that reads YAML or JSON specifications and automates the entire software lifecycle. It builds a canonical internal model called NEIR, then generates production‑grade code in Go, TypeScript, Python, Java, and Rust, along with Dockerfiles, Kubernetes manifests, CI/CD pipeline configurations, API documentation, and AI instruction bundles for assistants like Copilot and Claude. A single `naeos run` command replaces repetitive scaffolding tasks, ensuring consistency across languages and environments. NAEOS enforces architecture policies during generation through a built‑in governance engine with RBAC and audit trails. It also provides a marketplace for sharing industry profiles (SaaS, FinTech, Healthcare, etc.) and plugins, enabling teams to start from battle‑tested templates. The tool is extensible via a plugin system that hooks into its nine‑stage DAG pipeline, allowing custom transformations and integrations.
- Category
- Community
- Pricing
- Paid
Problem solved
Manually scaffolding, configuring, and maintaining consistent project structures across multiple languages, frameworks, and AI coding assistants is error‑prone and time‑consuming. NAEOS eliminates this boilerplate by using a single specification to generate all necessary artifacts, from source code to deployment manifests and AI context, accelerating development and enforcing architectural standards.
Use cases
- Generate full‑stack microservice projects from a YAML spec
- Create CI/CD pipeline configurations for multi‑language services
- Produce Docker and Kubernetes deployment manifests automatically
- Export AI context bundles for Copilot, Claude, Cursor, and other assistants
- Enforce architecture rules and compliance policies before code ships
- Publish and reuse industry‑specific project profiles and plugins
- Onboard new developers with instant, consistent project setups
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Startups
Pros
- Single source of truth from specification to production
- Multi‑language code generation (Go, TypeScript, Python, Java, Rust)
- Built‑in AI context generation for popular coding assistants
- Extensible plugin architecture and reusable profiles
- Governance engine with policy enforcement and audit trails
Cons
- Steep learning curve for custom specifications
- May be overkill for small or single‑language projects
- Relatively new project, community still growing
- Dependency on YAML/JSON specs can introduce rigidity
- Limited to the languages and platforms currently supported
Official website: http://naeos-foundation.github.io/naeos
Canonical LambdaBase page: https://www.lambdabase.com/tools/naeos