Phase 1: Foundation & Discovery (Current)

Launch JSON Tree MVP
Implement basic tree and graph visualization
Basic REST API for formatting and validation
LLM discovery files (`llms.txt`, `llms-full.txt`, `llms-index.json`, `.well-known` integration)

Phase 2: UI/UX & Accessibility Enhancements

Accessibility First: Improve keyboard navigation, ARIA labels, and screen reader support across all components.
Advanced Editor: Integrate a more robust code editor (e.g., Monaco Editor) with syntax highlighting, auto-completion, and error linting.
Responsive Design: Optimize the layout and interactive elements for better usability on mobile and tablet devices.
Custom Themes: Allow users to define custom syntax highlighting colors and UI themes.
Interactive Graph: Improve graph layout algorithms and add interactivity (e.g., node dragging, filtering).

Context-Aware Tools: Enhance MCP tools to provide more granular data extraction (e.g., JSONPath evaluation tool).
Generative AI: Add features to generate JSON schemas, mock data, or type definitions (TypeScript, Go, Rust) directly from the visualization using AI.
Semantic Search: Implement embedding-based search to find keys/values based on semantic meaning rather than exact string matches.
AX Optimization: Ensure all UI state changes reflect clearly in the DOM for automated browser agents.
Claws Integration: Native integration with claws.platphormnews.com

Large File Support: Implement virtualized rendering for the tree view to handle massive JSON files (>10MB) without performance degradation.
Streaming Parsing: Use streaming JSON parsers (like `simdjson` or custom web streams) to process data chunks iteratively.
Authentication & Accounts: Provide optional user accounts to save snippets, configurations, and history.
Edge Deployments: Optimize API routes and MCP server to run entirely on edge functions for globally low latency.

Comprehensive Test Suite: Achieve high test coverage across unit, integration, and E2E tests.
Developer Documentation: Expand API documentation and create tutorials/guides.
Plugin System: Develop an architecture to allow community plugins for custom visualizations or export formats.
Open Source Release: Prepare the repository for public contributions with contributing guidelines, issue templates, and CI/CD pipelines.