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Add v2.4.0 Shared Services Platform specification
Complete architecture for enterprise platform with shared services tier. KEY INNOVATION - GPU Compute Service: - Internal GPU models (vLLM, TGI) with intelligent failover - Automatic cloud fallback (OpenAI, Anthropic, OpenRouter) - 55-70% cost reduction vs cloud-only ($1,100-$1,400/month saved) - Smart failover triggers: latency, GPU memory, errors, timeouts - Cost attribution per app (GPU vs cloud tracking) PLATFORM ARCHITECTURE: - 3-tier model: Shared Services → Applications → Infrastructure - 10 shared services: GPU, LLM Gateway, Email, Storage, Search, Auth, etc. - Auto-generated SDK for all apps (PlatformServices class) - Docker Compose integration with service mesh - Unified monitoring & cost tracking NEW CLI COMMANDS: - agentcodex init-platform - Create platform structure - agentcodex add-service [service] - Add shared service - agentcodex link-service [services] - Connect app to services - agentcodex deploy-platform [env] - Deploy all services - agentcodex platform-status - Health check NEW AGENTS: - PLATFORM - Orchestrates shared services infrastructure - SERVICE-FORGE - Builds microservices (FastAPI with caching, rate limiting) - SERVICE-MESH - Configures networking, discovery, circuit breakers SERVICES INCLUDED: 1. GPU Compute (Priority #1) - Local models + cloud failover 2. LLM Gateway - Multi-provider with caching 3. Email Service - SendGrid, SES with queuing 4. Storage Service - S3, MinIO with CDN 5. Search Service - Weaviate vector search 6. Auth Service - OAuth2, JWT 7. Analytics Service - Event tracking 8. Notification Service - Push, SMS, webhooks COST EXAMPLE (1M tokens/day): - Cloud-only: $2,000/month - 80% GPU, 20% cloud: $900/month (55% savings) - 95% GPU, 5% cloud: $600/month (70% savings) ROLLOUT PLAN: - v2.4.0 (2 weeks): GPU Compute, LLM Gateway, Email, CLI, 3 agents - v2.4.1 (1 week): Storage, Search, Auth, Analytics - v2.4.2 (1 week): Multi-tenancy, advanced monitoring, auto-scaling Also added: GitHub project management guide for issue tracking & PRs Status: SPECIFICATION ONLY - Implementation after current backlog complete 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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# GitHub Project Management for AgentCodeX
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## Overview
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AgentCodeX uses GitHub Issues + Projects for transparent backlog management.
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---
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## Quick Start
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### 1. Enable GitHub Projects
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```bash
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# View project boards
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gh project list --owner ScaledMinds
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# Or create new board
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gh project create --title "AgentCodeX v2.4.0" --owner ScaledMinds
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```
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### 2. Create Issues from Specs
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```bash
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# From your spec file, create issues
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gh issue create --title "Implement GPU Compute Service" \
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--body "Priority #1 for v2.4.0
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See full spec: docs/roadmap/v2.4.0-SHARED-SERVICES-SPEC.md
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**Tasks:**
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- [ ] vLLM integration (LLaMA 3, Mixtral)
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- [ ] Failover logic to OpenAI, Anthropic, OpenRouter
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- [ ] Health monitoring & latency detection
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- [ ] Cost attribution & savings tracking
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**Success Criteria:**
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- P95 latency < 500ms on GPU
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- Failover triggers in < 5s
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- 70% cost reduction vs cloud-only
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" \
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--label "enhancement,v2.4.0,priority:high"
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```
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### 3. Work on Feature
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```bash
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# Create branch from issue #125
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git checkout -b feature/125-gpu-compute-service
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# Make changes
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git add .
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git commit -m "feat: Add GPU compute service with vLLM
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Implements #125
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- vLLM server integration
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- Health check endpoints
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- Failover logic to cloud providers
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"
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# Push to GitHub
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git push -u origin feature/125-gpu-compute-service
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```
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### 4. Create Pull Request
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```bash
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# Create PR that closes the issue
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gh pr create \
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--title "Add GPU Compute Service" \
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--body "Closes #125
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## Summary
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Implements internal GPU compute with intelligent failover.
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## Changes
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- New service: `shared-services/gpu-compute/`
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- vLLM integration for LLaMA 3, Mixtral
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- Automatic failover to OpenAI, Anthropic, OpenRouter
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- Health monitoring with 5 failover triggers
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## Testing
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- [x] GPU latency < 500ms
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- [x] Failover triggers work
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- [x] Cost attribution accurate
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## Screenshots
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(Grafana dashboard showing 70% GPU usage, 30% cloud failover)
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" \
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--label "enhancement,v2.4.0"
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```
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### 5. Code Review
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```bash
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# Request reviews
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gh pr edit 125 --add-reviewer @teammate1,@teammate2
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# View PR checks
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gh pr checks
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# View comments
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gh pr view 125 --comments
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```
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### 6. Merge
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```bash
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# Merge PR (auto-closes issue #125)
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gh pr merge 125 --squash --delete-branch
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```
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---
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## Project Board Setup
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### Columns
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Create these columns in your GitHub Project:
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1. **📋 Backlog** - Future features
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2. **🎯 Ready** - Prioritized, ready to start
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3. **🚧 In Progress** - Currently being worked on
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4. **👀 Review** - PR created, waiting for review
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5. **✅ Done** - Merged to main
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### Automation
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GitHub automatically moves issues:
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- Issue created → Backlog
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- PR created → In Progress
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- PR ready for review → Review
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- PR merged → Done
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---
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## Labels
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### Priority
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- `priority:critical` - Blocking, fix now
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- `priority:high` - Important, next sprint
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- `priority:medium` - Nice to have
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- `priority:low` - Future consideration
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### Type
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- `bug` - Something broken
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- `enhancement` - New feature
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- `documentation` - Docs update
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- `technical-debt` - Refactoring
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### Version
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- `v2.3.0` - Current release
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- `v2.4.0` - Shared services platform
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- `v2.5.0` - ORACLE implementation
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### Component
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- `cli` - CLI changes
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- `agents` - Agent updates
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- `infrastructure` - Docker, Traefik, etc.
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- `shared-services` - Platform services
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---
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## Example: v2.4.0 Shared Services Backlog
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### Create Issues
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```bash
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# Epic issue
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gh issue create --title "[EPIC] Shared Services Platform v2.4.0" \
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--body "See docs/roadmap/v2.4.0-SHARED-SERVICES-SPEC.md" \
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--label "epic,v2.4.0"
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# Task issues
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gh issue create --title "Implement GPU Compute Service" --label "enhancement,v2.4.0,priority:high"
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gh issue create --title "Create PLATFORM agent" --label "enhancement,v2.4.0,priority:high"
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gh issue create --title "Create SERVICE-FORGE agent" --label "enhancement,v2.4.0,priority:high"
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gh issue create --title "Add init-platform CLI command" --label "enhancement,v2.4.0,priority:medium"
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gh issue create --title "Add add-service CLI command" --label "enhancement,v2.4.0,priority:medium"
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gh issue create --title "Document GPU failover architecture" --label "documentation,v2.4.0"
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```
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### Link Issues to Epic
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In each task issue description, add:
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```
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Part of #123 (Epic: Shared Services Platform)
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```
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---
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## Best Practices
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### ✅ Do:
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- Create issue before starting work
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- Reference issue in commits (`Implements #123`)
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- Use PRs for all changes (even small ones)
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- Request reviews before merging
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- Keep PRs small (< 500 lines changed)
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- Update issue with progress notes
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### ❌ Don't:
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- Commit directly to main (except hotfixes)
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- Create PRs without linked issue
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- Merge your own PRs (get review first)
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- Leave stale branches (delete after merge)
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---
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## Workflow Comparison
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### Local-Only (Current)
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```
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1. Edit REVIEW-FINDINGS.md
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2. Fix code
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3. Commit to main
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4. Push to GitHub
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```
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**Pros:** Fast, simple
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**Cons:** No review, no tracking
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### GitHub Projects (Recommended)
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```
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1. Create issue (#125)
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2. Create branch (feature/125-gpu-service)
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3. Fix code
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4. Create PR (closes #125)
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5. Review + merge
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```
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**Pros:** Transparent, collaborative, tracked
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**Cons:** Slightly slower (worth it!)
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---
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## Migration for AgentCodeX
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### Step 1: Enable Projects
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1. Go to https://github.com/ScaledMinds/AgentCodeX/projects
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2. Click "New Project"
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3. Choose "Board" template
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4. Name: "AgentCodeX v2.4.0"
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### Step 2: Import Current Backlog
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Convert `REVIEW-FINDINGS.md` to issues:
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```bash
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# Critical issues from review
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gh issue create --title "Fix agentcodex init command" --label "bug,priority:critical" --body "See REVIEW-FINDINGS.md line 45"
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# Already fixed - close with note
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gh issue create --title "Update agent count 21→23" --label "bug,v2.3.0" --body "Fixed in commit 14669fc" --close
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```
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### Step 3: Future Work as Issues
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```bash
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# v2.4.0 features
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gh issue create --title "GPU Compute Service" --label "enhancement,v2.4.0"
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gh issue create --title "Shared Services Platform" --label "enhancement,v2.4.0"
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# v2.5.0 features
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gh issue create --title "Implement ORACLE agent" --label "enhancement,v2.5.0"
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gh issue create --title "Template variable system" --label "enhancement,v2.4.0"
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```
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### Step 4: Protect Main Branch
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```bash
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# Require PRs for main branch
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gh api repos/ScaledMinds/AgentCodeX \
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--method PATCH \
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--field default_branch=main
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# Require reviews
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# (Do this in GitHub UI: Settings → Branches → Add rule)
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```
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---
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## Sample PR Template
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Create `.github/pull_request_template.md`:
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```markdown
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## Description
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<!-- What does this PR do? -->
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Closes #(issue number)
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## Changes
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<!-- List main changes -->
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-
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-
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## Testing
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<!-- How did you test? -->
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- [ ] Unit tests pass
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- [ ] Integration tests pass
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- [ ] Manual testing complete
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## Screenshots
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<!-- If UI changes -->
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## Checklist
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- [ ] Code follows project style
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- [ ] Documentation updated
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- [ ] No breaking changes (or documented)
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- [ ] Tests added/updated
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```
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---
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## Useful Commands
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```bash
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# List open issues
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gh issue list --label v2.4.0
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# List PRs
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gh pr list
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# View issue
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gh issue view 125
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# Add comment to issue
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gh issue comment 125 --body "Starting work on this"
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# Close issue
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gh issue close 125 --comment "Fixed in PR #130"
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# Create draft PR
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gh pr create --draft --title "WIP: GPU Service"
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# Mark PR ready for review
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gh pr ready 130
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```
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---
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## Resources
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- [GitHub Issues Guide](https://docs.github.com/en/issues)
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- [GitHub Projects Guide](https://docs.github.com/en/issues/planning-and-tracking-with-projects)
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- [GitHub CLI Manual](https://cli.github.com/manual/)
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---
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**Start using GitHub Projects for v2.4.0 and beyond!**

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