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Proposals & Strategic Planning

Enhancement proposals, strategic analyses, and future planning documents.


Status: Proposal | Created: 2025-10-02

Proposal to enhance the roundtable-ai MCP server with dynamic multi-agent orchestration capabilities.

Key Features:

  • Dynamic agent creation and coordination
  • Parallel execution with conflict detection
  • Automated result aggregation
  • Integration with existing persona system

Expected Impact:

  • 5-10x productivity improvement
  • 100% backward compatible
  • Proven methodology (validated in production)

Implementation: 6-8 weeks (3 phases)


Console AI Coding Tools Landscape (2025-10-01)

Section titled “Console AI Coding Tools Landscape (2025-10-01)”

Type: Market Analysis | Status: Complete

Comprehensive analysis of console-based AI coding tools and their integration potential.

Tools Analyzed:

  • Aider (Claude/GPT-4)
  • Goose (specialized workflows)
  • GitHub Copilot CLI
  • OpenCode
  • Gemini CLI

Key Findings:

  • MCP integration opportunity
  • Tool orchestration platform potential
  • Complementary vs competitive positioning

Strategic Recommendations:

  • Position VibeCode as MCP platform
  • Integrate console tools as subagents
  • Create unified workflow experience

MCP Ecosystem Strategic Analysis (2025-10-01)

Section titled “MCP Ecosystem Strategic Analysis (2025-10-01)”

Type: Technology Assessment | Status: Complete

Analysis of Model Context Protocol ecosystem and integration opportunities.

MCP Servers Evaluated:

  • Context7 (documentation)
  • Sequential Thinking (reasoning)
  • Playwright (browser automation)
  • Serena (code intelligence)
  • Roundtable-AI (multi-persona)

Integration Strategy:

  • Leverage existing MCP servers
  • Build VibeCode-specific MCP server
  • Create orchestration layer
  • Enable tool composition

Technical Approach:

  • MCP sidecar architecture
  • Kubernetes-native deployment
  • Resource/tool exposure via MCP protocol

macOS App Deployment UX Proposal (70+ pages)

Section titled “macOS App Deployment UX Proposal (70+ pages)”

Type: Architecture & UX Design | Status: Phase 1 Implemented

Comprehensive proposal for VibeCode native macOS application with Tauri.

Phase 1 Complete:

  • Docker/Colima detection
  • Menu bar system tray
  • mDNS/Bonjour discovery

Remaining Phases:

  • Browser auto-launch
  • First-run onboarding
  • DMG packaging
  • Code signing

Implementation Status: 30% complete, 3 PRs pending review


Status: Research Phase

Evaluation of native code editors (Zed, Lapce, Helix) as alternatives to code-server.

Options:

  1. Fork Lapce for VibeCode-native performance
  2. Eclipse Theia integration (replace code-server)
  3. Multi-protocol extension standard (cross-editor compatibility)

Decision Matrix: Performance vs compatibility vs development effort


Status: Planning

Enhancement of existing Yjs collaborative editing implementation.

Current State:

  • Yjs CRDT library integrated
  • CollaborativeEditor component exists
  • Infrastructure stubbed but functional

Proposed Enhancements:

  • Polish existing Yjs implementation
  • Add user awareness indicators
  • Improve conflict resolution UI
  • Implement presence system

Priority: HIGH (foundation already exists)


Status: Analysis Complete

Consolidation of fragmented database adapter layer.

Problem:

  • 39 database layer files
  • Multiple adapters (Postgres, CosmosDB, MongoDB, Redis)
  • Inconsistent patterns
  • Technical debt

Proposed Solution:

  • 5-phase consolidation plan (22 days)
  • Unified adapter interface
  • Consistent error handling
  • Performance optimization

Impact: Improved maintainability, reduced bugs


  1. Draft - Initial proposal being written
  2. Review - Under community/team review
  3. Approved - Accepted for implementation
  4. In Progress - Active implementation
  5. Complete - Implementation finished
  6. Archived - Historical reference
# Proposal Title
**Status:** [Draft|Review|Approved]
**Created:** YYYY-MM-DD
**Author:** Name/Team
## Executive Summary
Brief overview (2-3 sentences)
## Problem Statement
What problem does this solve?
## Proposed Solution
How will it be solved?
## Alternatives Considered
What other approaches were evaluated?
## Implementation Plan
Phases, timeline, resources needed
## Success Metrics
How will success be measured?
## Risks & Mitigations
What could go wrong and how to handle it?

  1. Research First - Understand current state
  2. Define Problem - Clear problem statement
  3. Propose Solution - Specific, actionable plan
  4. Consider Alternatives - Evaluate tradeoffs
  5. Plan Implementation - Realistic timeline and resources
  6. Measure Success - Quantifiable outcomes
  1. Create proposal in proposals/ directory
  2. Add to this index page
  3. Share in GitHub Discussions for feedback
  4. Iterate based on community input
  5. Present to tech leads for approval
  6. Move to implementation if approved

  1. Native App Distribution (Tauri)
  2. Multi-Agent Workflows (Roundtable-AI enhancement)
  3. CRDT Collaboration (Polish existing Yjs)
  4. MCP Platform (Tool orchestration)
  5. Performance Optimization (Bundle size, build time)
  • Universal AI Platform - Console + GUI integration
  • MCP Ecosystem Leader - First-class MCP support
  • Native Performance - Leverage native editors
  • Collaborative by Default - Real-time co-editing
  • Cloud-Native - Kubernetes-first architecture

Last Updated: 2025-10-02 Maintainer: VibeCode Strategy Team