ObjectOS Development Plan

Current Version: v0.2.0
Target Version: v0.3.0 (Q1 2026)
Last Updated: January 2026

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1. Current Status Analysis

1.1 Completed Core Features

✅ Infrastructure

• ObjectOS Kernel core engine implemented
• Object Registry operational
• NestJS-based HTTP server
• Basic CRUD operations through driver layer

✅ Data Layer

• PostgreSQL driver support
• MongoDB driver support
• YAML metadata parser

✅ Authentication System

• Better-Auth integration
• Basic authentication flow

✅ UI Components

• React UI component library (Grid, Form)
• Basic documentation structure

1.2 Key Areas Needing Improvement

🔴 High-Priority Missing Features

• Incomplete permission system (missing field-level and record-level permissions)
• Incomplete relationship field resolution (Lookup, Master-Detail)
• Insufficient test coverage (target: 80%+)
• Incomplete lifecycle hooks system

🟡 Medium-Priority Missing Features

• Workflow engine not implemented
• GraphQL API not implemented
• Real-time sync capability missing
• Batch operation API incomplete

🟢 Low-Priority Improvements

• UI components need optimization
• Documentation needs expansion
• Developer tools (CLI) missing

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2. Q1 2026 Development Goals

2.1 Core Objectives

Goal 1: Implement Production-Grade Permission System

• Complete object-level permissions (CRUD)
• Implement field-level security
• Implement record-level security (RLS)
• Integrate into Kernel and Server layers

Goal 2: Complete Lifecycle Hooks System

• Implement all standard hooks (beforeFind, afterInsert, etc.)
• Support async hook chains
• Add hook priority and ordering
• Provide hook debugging tools

Goal 3: Complete Relationship Field Implementation

• Lookup fields (many-to-one)
• Master-Detail relationships (cascade delete)
• Many-to-many relationships
• Relationship query optimization

Goal 4: Improve Test Coverage

• Kernel: 90%+ unit test coverage
• Server: 80%+ integration test coverage
• Critical path E2E tests

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3. Detailed Implementation Plan

Phase 1: Permission System Implementation (2-3 weeks)

3.1 Object-Level Permissions

Task List:

1. Define permission interface in @objectql/types

   interface PermissionSet {
     allowRead?: boolean | string[];
     allowCreate?: boolean | string[];
     allowEdit?: boolean | string[];
     allowDelete?: boolean | string[];
   }

2. Implement permission checker in Kernel

   // packages/kernel/src/security/permission-checker.ts
   class PermissionChecker {
     canRead(object: string, user: User): boolean
     canCreate(object: string, user: User): boolean
     canUpdate(object: string, user: User): boolean
     canDelete(object: string, user: User): boolean
   }

3. Add permission guard in Server layer

   // packages/server/src/guards/permission.guard.ts
   @Injectable()
   export class PermissionGuard implements CanActivate {
     canActivate(context: ExecutionContext): boolean
   }

Acceptance Criteria:

• All CRUD operations go through permission checks
• Permission denial returns 403 error
• Unit test coverage 95%+
• Integration tests verify end-to-end flow

Estimated Time: 5-7 days

3.2 Field-Level Security

Task List:

1. Extend field definition to support visibility rules

   fields:
     salary:
       type: currency
       label: Salary
       visible_to: ['hr', 'admin']
       editable_by: ['hr']

2. Implement field filter

   // packages/kernel/src/security/field-filter.ts
   class FieldFilter {
     filterReadable(object: string, fields: string[], user: User): string[]
     filterEditable(object: string, fields: string[], user: User): string[]
   }

3. Automatically filter fields in query results

   // Kernel filters invisible fields before returning data
   const visibleFields = fieldFilter.filterReadable(objectName, fields, user);
   return records.map(r => pick(r, visibleFields));

Acceptance Criteria:

• Users can only see permitted fields
• Edit operations automatically ignore unpermitted fields
• API responses don't include restricted fields
• Tests cover all edge cases

Estimated Time: 4-5 days

3.3 Record-Level Security

Task List:

1. Implement sharing rules

   sharing_rules:
     - name: owner_full_access
       criteria: { owner: $current_user }
       access: read_write
     - name: manager_read_access
       criteria: { manager: $current_user }
       access: read_only

2. Inject filters during queries

   // packages/kernel/src/security/rls-injector.ts
   class RLSInjector {
     injectFilters(
       objectName: string, 
       filters: FilterGroup, 
       user: User
     ): FilterGroup
   }

3. Automatically apply in beforeFind hook

   kernel.on('beforeFind', async (ctx) => {
     ctx.filters = rlsInjector.injectFilters(
       ctx.objectName,
       ctx.filters,
       ctx.user
     );
   });

Acceptance Criteria:

• Users can only query records they have permission for
• Sharing rules applied correctly
• Performance tests pass (query time increase < 10%)
• Complete security test suite

Estimated Time: 6-8 days

---

Phase 2: Lifecycle Hooks System (1-2 weeks)

3.4 Standard Hooks Implementation

Task List:

1. Define complete hook types

   type HookType = 
     | 'beforeFind' | 'afterFind'
     | 'beforeInsert' | 'afterInsert'
     | 'beforeUpdate' | 'afterUpdate'
     | 'beforeDelete' | 'afterDelete'
     | 'beforeValidate' | 'afterValidate';
   
   interface HookContext<T = any> {
     objectName: string;
     operation: 'find' | 'insert' | 'update' | 'delete';
     user: User;
     data?: T;
     filters?: FilterGroup;
     result?: any;
   }

2. Implement hook manager

   // packages/kernel/src/hooks/hook-manager.ts
   class HookManager {
     register(
       hookType: HookType, 
       handler: HookHandler, 
       priority?: number
     ): void
     
     async execute(
       hookType: HookType, 
       context: HookContext
     ): Promise<void>
     
     unregister(hookType: HookType, handler: HookHandler): void
   }

3. Insert hook call points in Kernel operations

   async insert(objectName: string, data: any): Promise<any> {
     const context = { objectName, operation: 'insert', data, user };
     
     // Before hooks
     await this.hooks.execute('beforeValidate', context);
     await this.hooks.execute('beforeInsert', context);
     
     // Actual insert
     const result = await this.driver.insert(objectName, context.data);
     
     // After hooks
     context.result = result;
     await this.hooks.execute('afterInsert', context);
     
     return context.result;
   }

Acceptance Criteria:

• All 8 hook types work correctly
• Hooks execute in priority order
• Async hook handling supported
• Hook errors don't crash the system
• Complete hook documentation and examples

Estimated Time: 5-6 days

3.5 Hook Debugging Tools

Task List:

1. Add hook execution logging

   class HookManager {
     enableDebug(enabled: boolean): void
     
     async execute(hookType: HookType, context: HookContext) {
       if (this.debugEnabled) {
         console.log(`[Hook] ${hookType} started`, context);
       }
       // ...
       if (this.debugEnabled) {
         console.log(`[Hook] ${hookType} completed in ${duration}ms`);
       }
     }
   }

2. Implement hook performance monitoring

   interface HookMetrics {
     hookType: HookType;
     executionTime: number;
     timestamp: Date;
     success: boolean;
     error?: Error;
   }

3. Add hook testing utility

   // packages/kernel/src/testing/hook-tester.ts
   class HookTester {
     testHook(
       hookType: HookType,
       context: HookContext
     ): Promise<HookTestResult>
   }

Acceptance Criteria:

• Can view all registered hooks
• Can trace hook execution order
• Can measure hook performance
• Hook debugging documentation provided

Estimated Time: 3-4 days

---

Phase 3: Relationship Fields Implementation (2-3 weeks)

3.6 Lookup Fields (Many-to-One)

Task List:

1. Extend field definition

   fields:
     account:
       type: lookup
       reference_to: accounts
       label: Account
       relationship_name: contacts

2. Implement relationship resolver

   // packages/kernel/src/relations/lookup-resolver.ts
   class LookupResolver {
     async resolve(
       objectName: string,
       records: any[],
       lookupField: string
     ): Promise<any[]>
   }

3. Auto-load related objects during queries

   // Auto-populate lookup fields
   const contacts = await kernel.find('contacts', {
     fields: ['name', 'account.name', 'account.industry'],
     populate: ['account']
   });

Acceptance Criteria:

• Lookup fields correctly save reference IDs
• Optional loading of related objects during queries
• Support cascading queries (account.owner.name)
• Relationship query performance optimization (avoid N+1 problem)

Estimated Time: 6-7 days

3.7 Master-Detail Relationships

Task List:

1. Define Master-Detail relationship

   fields:
     opportunity:
       type: master_detail
       reference_to: opportunities
       cascade_delete: true
       rollup_summary: true

2. Implement cascade delete

   // When deleting master, delete all detail records
   async delete(objectName: string, id: string) {
     const config = this.registry.get(objectName);
     
     // Find and delete detail records
     for (const field of config.fields) {
       if (field.type === 'master_detail' && field.cascade_delete) {
         await this.deleteDetailRecords(objectName, id, field);
       }
     }
     
     // Delete master record
     await this.driver.delete(objectName, id);
   }

3. Implement rollup summary fields

   # On opportunity object
   fields:
     total_amount:
       type: rollup_summary
       summarized_object: line_items
       summarized_field: amount
       operation: SUM

Acceptance Criteria:

• Master-Detail relationships correctly established
• Deleting master records automatically deletes detail records
• Rollup summary fields automatically calculated
• Prevent orphan records

Estimated Time: 7-8 days

3.8 Many-to-Many Relationships

Task List:

1. Define many-to-many relationship

   # On project object
   fields:
     members:
       type: many_to_many
       reference_to: users
       junction_object: project_members

2. Auto-create junction table

   // Auto-generate junction object
   const junctionObject = {
     name: 'project_members',
     fields: {
       project: { type: 'lookup', reference_to: 'projects' },
       user: { type: 'lookup', reference_to: 'users' }
     }
   };

3. Implement many-to-many operations API

   // Add members to project
   await kernel.addRelation('projects', projectId, 'members', [userId1, userId2]);
   
   // Remove member
   await kernel.removeRelation('projects', projectId, 'members', [userId1]);
   
   // Query with members
   const projects = await kernel.find('projects', {
     populate: ['members']
   });

Acceptance Criteria:

• Many-to-many relationships correctly established
• Junction table auto-created and managed
• Support adding/removing relationships
• Support querying related records

Estimated Time: 5-6 days

---

Phase 4: Testing & Documentation (Ongoing)

3.9 Unit Testing

Goals:

• Kernel package: 90%+ coverage
• Server package: 80%+ coverage
• UI package: 70%+ coverage

Task List:

1. Write unit tests for all new features
2. Add tests for existing code
3. Set up code coverage reporting
4. Integrate into CI/CD pipeline

Estimated Time: Ongoing, 30% of each feature's time for testing

3.10 Integration Testing

Task List:

1. End-to-end API tests

   describe('Permissions E2E', () => {
     it('should deny access to unpermitted field', async () => {
       const response = await request(app)
         .get('/api/data/employees/123')
         .set('Authorization', `Bearer ${salesUserToken}`)
         .expect(200);
       
       expect(response.body).not.toHaveProperty('salary');
     });
   });

2. Database integration tests

3. Permission system end-to-end tests

4. Relationship field query tests

Estimated Time: 2-3 days per phase

3.11 Documentation Updates

Task List:

1. API documentation (OpenAPI/Swagger)
2. Permission system usage guide
3. Hooks system development guide
4. Relationship field configuration guide
5. Best practices documentation

Estimated Time: 1-2 days per major feature

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4. Timeline & Milestones

Week 1-2: Permission System Foundation

• Object-level permissions implementation (Week 1)
• Field-level security implementation (Week 2)
• Unit tests and documentation (Week 2)

Week 3-4: Permission System Completion & Hooks System

• Record-level security implementation (Week 3)
• Hooks system implementation (Week 4)
• Hook debugging tools (Week 4)

Week 5-7: Relationship Fields Implementation

• Lookup fields (Week 5)
• Master-Detail relationships (Week 6)
• Many-to-many relationships (Week 7)

Week 8-9: Integration Testing & Optimization

• Integration test writing (Week 8)
• Performance optimization (Week 8)
• Bug fixes (Week 9)
• Documentation completion (Week 9)

Week 10: Release Preparation

• Code review
• Security audit
• Release v0.3.0
• Release announcement and migration guide

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5. Technical Debt Cleanup

5.1 High-Priority Technical Debt

1. Kernel Dependency Injection Refactor

   • Issue: Some places still have hardcoded dependencies
   • Solution: Fully use DI pattern
   • Time: 2-3 days

2. Error Handling Standardization

   • Issue: Error types not unified
   • Solution: Create unified error classes and error codes
   • Time: 2 days

3. Type Definition Completion

   • Issue: Some interfaces use any
   • Solution: Add strict type definitions
   • Time: 3-4 days

5.2 Code Quality Improvements

1. Add ESLint rules
2. Configure Prettier
3. Add pre-commit hooks
4. Code review checklist

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6. Risk Assessment & Mitigation

6.1 Technical Risks

Risk	Impact	Probability	Mitigation
Permission system performance issues	High	Medium	Early performance testing, use caching optimization
Relationship query N+1 problem	High	High	Implement DataLoader pattern, batch queries
Hook system complexity	Medium	Medium	Provide clear documentation, limit hook nesting depth
Database compatibility	Medium	Low	Integration testing on multiple databases

6.2 Schedule Risks

Risk	Impact	Mitigation
Requirement changes	High	Freeze Q1 requirements, move new requirements to Q2
Insufficient manpower	High	Recruit contributors, simplify some feature scope
Insufficient testing time	Medium	Test and develop in parallel, TDD mode
Documentation delays	Low	Write documentation synchronously with code

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7. Success Criteria

7.1 Functional Completeness

• All planned features implemented
• All tests passing
• Complete documentation

7.2 Quality Metrics

• Test Coverage

  • Kernel: ≥ 90%
  • Server: ≥ 80%
  • UI: ≥ 70%

• Performance Metrics

  • API response time (P95): < 100ms
  • Permission check overhead: < 10ms
  • Relationship query optimization: Avoid N+1

• Code Quality

  • 0 TypeScript errors
  • 0 ESLint errors
  • Code review pass rate: 100%

7.3 User Feedback

• At least 3 real projects piloting
• Collect feedback and improve
• GitHub Stars growth 20%+

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8. Future Plans

Q2 2026 Preview

1. Workflow Engine

   • Visual process designer
   • Approval processes
   • Scheduled tasks

2. GraphQL API

   • Auto-generate GraphQL Schema
   • Query optimization
   • Real-time subscriptions

3. Advanced Data Features

   • Data import/export
   • Batch operations
   • Data deduplication

4. Developer Tools

   • CLI tool
   • VS Code extension
   • Debugging tools

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9. Resource Requirements

9.1 Human Resources

• Core Development: 2-3 full-time developers
• Contributors: 5-10 part-time contributors
• Testing: 1 dedicated test engineer
• Documentation: 1 technical writer

9.2 Infrastructure

• CI/CD server (GitHub Actions)
• Test databases (PostgreSQL, MongoDB)
• Documentation hosting (VitePress + Vercel)
• NPM package publishing

9.3 Community Building

• Discord server setup
• Regular livestreams / technical sharing
• Documentation translation (English/Chinese)
• Example project library

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10. Summary

The core goals of ObjectOS Q1 2026 are to implement a production-grade permission system, complete lifecycle hooks, and full relationship field support. Through 10 weeks of systematic development, we will:

✅ Enhance Security: Multi-layer permission protection, achieving enterprise-grade security standards
✅ Increase Flexibility: Complete hook system, supporting business logic customization
✅ Expand Data Capabilities: Relationship field support, meeting complex business needs
✅ Ensure Quality: 80%+ test coverage, comprehensive documentation

Making ObjectOS a truly production-ready enterprise low-code platform!

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Next Actions:

1. Team review of this plan
2. Assign tasks to developers
3. Set up project board (GitHub Projects)
4. Begin Sprint 1 development

Contact:

• GitHub Issues: https://github.com/objectstack-ai/objectos/issues
• Project Discussions: GitHub Discussions