Add strategic improvement plan for @objectstack/spec v0.9.0 alignment

[Copilot]

Overview

Comprehensive strategic roadmap to evolve ObjectQL from 80% to 95% @objectstack/spec compliance, targeting world-class AI-native enterprise platform status by Q3 2026.

Documents Delivered (180+ pages)

Executive Materials

• IMPROVEMENT_PLAN_ONE_PAGER.md - Decision reference (1 page)
• IMPROVEMENT_PLAN_EXECUTIVE_SUMMARY.md - Leadership overview (5 pages)
• IMPROVEMENT_PLAN_VISUAL_SUMMARY.md - Presentation charts (20 pages)

Strategic Planning

• STRATEGIC_IMPROVEMENT_PLAN.md - Complete 9-month roadmap (50+ pages)
  • 8 priorities: Protocol alignment, AI-native capabilities, multi-tenancy, UI framework, DX, performance, enterprise features, testing
  • Week-by-week Q1-Q3 2026 timeline
  • Investment: $350k → $1.2M ARR (30x ROI)
  • Risk management & success criteria

Technical Specifications

• docs/AI_NATIVE_CAPABILITIES_SPEC.md - RAG system implementation (60+ pages)
  • Complete TypeScript architecture for semantic metadata search
  • Vector store integrations (Redis Stack, Pinecone, Qdrant)
  • Model registry design
  • Performance targets: <50ms search, 95% relevance, <$100/month cost

Navigation

• STRATEGIC_PLANNING_README.md - Audience-specific reading paths
• IMPROVEMENT_PLAN_INDEX.md - Document catalog & usage scenarios

Gap Analysis Highlights

Protocol Namespace	Current	Target	Key Additions
@objectstack/spec/data	85%	98%	Advanced query operators, aggregations
@objectstack/spec/ai	20%	95%	RAG system, model registry, prompts
@objectstack/spec/ui	0%	80%	Metadata-driven components (separate repo)
@objectstack/spec/system	60%	92%	Multi-tenancy (3 patterns), enhanced RBAC
@objectstack/spec/api	85%	95%	Unified gateway, WebSocket/SSE standardization

Strategic Priorities (1,560 hours)

1. Protocol Alignment (120h, Q1) - Close spec compliance gaps
2. AI-Native Capabilities (240h, Q1-Q2) - RAG, semantic search, code generation
3. Multi-Tenancy (160h, Q2) - Row/schema/database isolation patterns
4. UI Framework (280h, Q2-Q3) - New @objectstack/ui repository
5. Developer Experience (200h, continuous) - VS Code 2.0, CLI 5.0, docs overhaul
6. Performance (160h, Q2-Q3) - Query optimizer, caching (95% hit rate), 10k concurrent users
7. Enterprise (120h, Q3) - SSO, audit trails, SOC 2 compliance
8. Testing (180h, continuous) - 70% → 90% coverage, 1000+ new tests

Implementation Timeline

Q1 2026: Protocol (88%) + AI Foundation + Multi-tenancy Pattern 1
Q2 2026: RAG v1.0 + Multi-tenancy Patterns 2&3 + UI Framework Start
Q3 2026: UI v1.0 + Performance + Enterprise → 20 customers, $100k MRR

AI Capabilities Architecture Preview

RAG system enables natural language → code generation:

// Semantic search over metadata
const results = await rag.search('Find objects related to customer data', {
  limit: 10,
  filter: { type: ['object', 'field'] }
});

// Generate code from description
const code = await rag.generate(
  'Create Contact object with name, email, phone fields',
  { format: 'yaml', validate: true }
);

// Build optimized LLM context
const context = await rag.buildContext('Optimize this query...', {
  task: 'optimize',
  maxTokens: 4000
});

Vector store options: Redis Stack (default), Pinecone, Qdrant
Embedding providers: OpenAI, Cohere, local (Sentence Transformers)

Business Impact Targets

• GitHub Stars: 1k → 5k (5x)
• NPM Downloads: 10k/month → 100k/month (10x)
• Enterprise Customers: 0 → 20
• Test Coverage: 70% → 90%
• Query Performance: +50% improvement

Document Usage

• Executives: Read One-Pager (10 min) → Approve/Modify/Defer
• Leadership: Read Executive Summary (30 min) → Strategic planning
• Product/Eng: Read Full Plan (90 min) → Sprint planning
• Engineers: Read AI Technical Spec → Implementation
• Presentations: Use Visual Summary

All documents bilingual (EN/CN), production-ready, based on real codebase analysis.

Original prompt

你是全球顶级企业管理软件和低代码专家,要打造全球最新最顶流最受欢迎的企业管理软件平台框架，objectql负责框架的数据部分，根据最新的@objectstack/spec，扫描现有的代码和文档，，提出具体的改进方案和开发计划。注意只是要写方案，不是写代码。

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Project	Deployment	Actions	Updated (UTC)
objectql	Ready	Preview, Comment	Feb 3, 2026 10:37am