Ekit – Public Roadmap¶
Ekit is a web studio designed to manage multilingual data and build SSR websites / apps, built for developers, creators, and product teams.
This roadmap presents the product vision, major milestones, and key features, without going into technical details.
V0 — Product Foundations (current)¶
Studio & Projects¶
- User authentication (account creation)
- Google OAuth
- GitHub OAuth
- Multiple projects per account
Data Management (Airtable-like, multilingual)¶
- Create tables
- Create fields per table
- Field types:
- text
- long text
- date
- number
- boolean
- WYSIWYG
- object relationships
- color
- Required fields
- Multilingual fields
- Native multilingual data management
- AI-assisted translations for content
Editor & UX¶
- Studio interface with file explorer
- Multi-tab management (real-time updates)
- Template editor
- Support for layouts, views, and components
- Declarative datasources via frontmatter
- YAML and snippet generation helpers
- Advanced IntelliSense
- field autocompletion
- datasource autocompletion
Generation & Preview¶
- Dynamic SSR generation
- Live SSR preview
Assets & Exports¶
- Asset management (images, files)
- Export tables by language (Excel)
V1 — Openness & UX improvements¶
Visualization¶
- Desktop / mobile preview mode
Data¶
- Data import (CSV / Excel / JSON)
- Automatic table and field creation
Public APIs (first version)¶
- Public REST APIs per project
- Read-only access
- API key per project
Positioning: Ekit also becomes a headless CMS.
V2 — Professionalization & adoption¶
Deployment¶
- Custom domain support
Templates¶
- Import existing HTML templates (e.g. Envato)
- Prepare templates for database binding
Advanced APIs¶
- Permissions and scopes
- Write access
Positioning: From any template to a dynamic, multilingual website.
V3 — Visual editing¶
Visual Builder¶
- Visual HTML editing tool
- Edit HTML tag properties
- Visual binding between HTML and data
Positioning: Build data-driven websites visually.
V4 — Contextual AI & RAG¶
Project-level RAG¶
- Automatic vectorization of project content
- Multilingual semantic search
- RAG scoped to each project
Contextual AI assistant¶
- Q&A based on real project data
- Content writing and structuring assistance
- Automatic content summaries
Positioning: Your project understands itself.
V5 — Agentic AI (long-term vision)¶
Specialized agents¶
- Content agent
- SEO agent
- Data / schema agent
- Project onboarding agent
Guided automation¶
- Proactive suggestions
- Semi-automated actions
- Continuous content improvement
Positioning: Ekit doesn’t just manage content — it collaborates with you.
Vision¶
Ekit evolves progressively:
Studio → CMS → Generator → APIs → Contextual AI → Agents
Each step brings: - new user value - a new audience - new communication opportunities
This roadmap is intentionally evolving and may adapt based on user feedback.