# Tool Context Documentation System - Implementation Plan

## Overview

This document outlines the design and implementation plan for a persistent context documentation system that captures tool execution results and project-specific patterns for reuse in future sessions.

## Problem Statement

When tools like `bootstrap_validation_loop` run, they generate valuable context including:

- Platform detection results
- Validated patterns and deployment strategies
- Environment-specific configurations
- Learnings from execution (successes/failures)
- Architectural decisions

Currently, this context is lost after the session ends. Developers have to re-discover or re-analyze the same information in future sessions, especially problematic for:

- LLMs with limited context windows (e.g., Gemini)
- Long-term project maintenance
- Team onboarding
- CI/CD pipeline consistency

## Solution: Tool Context Documents

Generate persistent, project-specific context documents that can be:

1. **Automatically created** by tools during execution
2. **Stored in a predictable location** within the project
3. **Easily referenced** by developers and LLMs in future prompts
4. **Version controlled** alongside code and ADRs

---

## Context Document Schema

### Standard Structure

All context documents follow a consistent markdown format:

````markdown
# Tool Context: {Tool Name}

> **Generated**: {ISO timestamp}
> **Tool Version**: {version}
> **Project**: {project name/path}

## Quick Reference

Brief summary for immediate use (1-2 paragraphs)

## Execution Summary

- **Status**: Success | Failed | Partial
- **Confidence**: {0-100}%
- **Key Findings**: Bullet list of main outcomes

## Detected Context

### Platform/Environment

- Primary: {platform}
- Confidence: {percentage}
- Evidence: {key evidence files/indicators}

### Project Configuration

- Architecture: {detected architecture}
- Technologies: {list}
- Deployment Target: {target}

### Validated Pattern (if applicable)

- **Pattern Name**: {e.g., Multicluster GitOps, Industrial Edge, Medical Diagnosis}
- **Version**: {pattern version}
- **Pattern Type**: {platform type}
- **Base Repository**: {GitHub URL}
- **Documentation**: {pattern docs URL}
- **Authoritative Sources**: {list of required sources}
- **Why Chosen**: {rationale for this pattern}
- **Deployment Phases**: {number of phases}
- **Validation Checks**: {number of checks}

## Generated Artifacts

List of files/ADRs/configs created by this tool execution

## Key Decisions

Architectural and deployment decisions made during execution

## Learnings & Recommendations

### Successes ✅

- What worked well

### Failures ⚠️

- What didn't work
- Recommendations for fixes

### Environment-Specific Notes

- Special considerations for this environment

## Usage in Future Sessions

### How to Reference This Context

```text
Example prompt:
"Using the context from docs/context/bootstrap-{timestamp}.md,
continue the deployment process for {platform}"
```
````

### Related Documents

- ADRs: `{links}`
- Other context docs: `{links}`
- Configuration files: `{links}`

## Raw Data (Optional)

<details>
<summary>Full execution output</summary>

```json
{
  // Complete execution result for debugging
}
```

</details>

---

_Auto-generated by `{tool_name}` v`{version}`_

```

### Schema Fields

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `tool_name` | string | Yes | Name of the tool that generated this |
| `generated` | ISO datetime | Yes | When this context was created |
| `tool_version` | semver | Yes | Tool version for compatibility |
| `project` | string | Yes | Project identifier |
| `status` | enum | Yes | Success, Failed, Partial |
| `confidence` | number (0-100) | No | Confidence in results |
| `detected_context` | object | Yes | Platform, tech stack, architecture |
| `artifacts` | array[string] | No | Files/ADRs created |
| `decisions` | array[Decision] | No | Key architectural decisions |
| `learnings` | array[Learning] | No | Successes, failures, recommendations |
| `related_docs` | array[string] | No | Links to ADRs, configs, etc. |

---

## Storage Strategy

### Directory Structure

```

docs/
├── context/
│ ├── README.md # Overview of context system
│ ├── bootstrap/
│ │ ├── latest.md # Symlink to most recent
│ │ ├── bootstrap-20250119T143022.md # Timestamped execution
│ │ └── bootstrap-20250115T091533.md # Historical context
│ ├── deployment/
│ │ ├── latest.md
│ │ └── deployment-analysis-20250119.md
│ ├── environment/
│ │ ├── latest.md
│ │ └── environment-analysis-20250118.md
│ ├── research/
│ │ ├── latest.md
│ │ ├── openshift-research-20250119.md
│ │ └── kubernetes-research-20250117.md
│ └── planning/
│ ├── latest.md
│ └── adr-planning-session-20250116.md

````

### File Naming Convention

**Format**: `{tool-category}-{detail}-{ISO-date}.md`

**Examples**:
- `bootstrap-openshift-20250119T143022.md`
- `deployment-readiness-check-20250119T101500.md`
- `research-validated-patterns-20250118T154433.md`
- `planning-microservices-architecture-20250115.md`

### Retention Policy

- **latest.md**: Always points to most recent context for that category
- **Historical**: Keep last 10 executions per category
- **Archive**: Move older contexts to `docs/context/archive/` after 30 days
- **Cleanup**: Add cleanup script to prune old contexts

---

## Tools Benefiting from Context Generation

### 1. Bootstrap & Deployment Tools

#### `bootstrap_validation_loop`
**Context Generated**:
- Platform detection (OpenShift, Kubernetes, Docker, etc.)
- Validated pattern selection and configuration
- Research report from authoritative sources
- Deployment plan with architecture diagrams
- Environment snapshot (running services, versions)
- Execution learnings (what worked, what failed)
- Bootstrap ADR path and status

**Context Document**: `docs/context/bootstrap/bootstrap-{platform}-{timestamp}.md`

**Value**: Developers can reference the exact validated pattern, deployment steps, and environment configuration in future sessions without re-running detection.

---

#### `deployment_readiness`
**Context Generated**:
- Readiness assessment (pass/fail for deployment gates)
- Missing prerequisites and blockers
- Deployment risks and mitigation strategies
- Compliance checks (security, performance, architecture)

**Context Document**: `docs/context/deployment/readiness-{timestamp}.md`

**Value**: Track deployment readiness over time, understand what changed between attempts.

---

#### `deployment_analysis`
**Context Generated**:
- Current deployment state analysis
- Resource utilization and health
- Deployment history and patterns
- Recommended optimizations

**Context Document**: `docs/context/deployment/analysis-{timestamp}.md`

**Value**: Maintain historical deployment insights for troubleshooting and optimization.

---

### 2. Environment & Research Tools

#### `environment_analysis`
**Context Generated**:
- Detected environment configuration
- Available tools and versions
- Infrastructure capabilities
- Environment-specific constraints

**Context Document**: `docs/context/environment/analysis-{timestamp}.md`

**Value**: Preserve environment details for consistent deployments across sessions.

---

#### `perform_research` / `research_integration`
**Context Generated**:
- Research questions asked
- Sources consulted (authoritative docs, GitHub, Stack Overflow)
- Research findings and confidence scores
- Technology decisions based on research
- Cached research results

**Context Document**: `docs/context/research/{topic}-research-{timestamp}.md`

**Value**: Avoid re-researching the same topics, maintain knowledge base of research findings.

---

### 3. Planning & Decision Tools

#### `interactive_adr_planning`
**Context Generated**:
- Planning session decisions
- Architectural options considered
- Trade-offs analyzed
- Selected approach and rationale
- ADRs created from planning

**Context Document**: `docs/context/planning/session-{timestamp}.md`

**Value**: Preserve planning decisions and rationale for future reference and ADR updates.

---

#### `adr_validation`
**Context Generated**:
- Validation results (ADR compliance)
- Detected inconsistencies or gaps
- Recommendations for improvements
- ADR quality scores

**Context Document**: `docs/context/validation/adr-validation-{timestamp}.md`

**Value**: Track ADR quality over time, maintain validation history.

---

### 4. Git & Workflow Tools

#### `smart_git_push`
**Context Generated**:
- Git workflow patterns used
- Commit conventions followed
- Branch strategies detected
- Push validation results

**Context Document**: `docs/context/git/workflow-{timestamp}.md`

**Value**: Maintain consistent git practices across sessions.

---

## Implementation Plan

### Phase 1: Core Infrastructure (Week 1)

#### 1.1 Create Context Manager Utility
**File**: `src/utils/context-document-manager.ts`

```typescript
export interface ToolContextMetadata {
  toolName: string;
  toolVersion: string;
  generated: string; // ISO timestamp
  projectPath: string;
  projectName: string;
  status: 'success' | 'failed' | 'partial';
  confidence?: number;
}

export interface ToolContextDocument {
  metadata: ToolContextMetadata;
  quickReference: string;
  executionSummary: {
    status: string;
    confidence?: number;
    keyFindings: string[];
  };
  detectedContext: Record<string, any>;
  generatedArtifacts?: string[];
  keyDecisions?: Array<{
    decision: string;
    rationale: string;
    alternatives?: string[];
  }>;
  learnings?: {
    successes: string[];
    failures: string[];
    recommendations: string[];
    environmentSpecific: string[];
  };
  relatedDocuments?: {
    adrs: string[];
    configs: string[];
    otherContexts: string[];
  };
  rawData?: any;
}

export class ToolContextManager {
  private contextDir: string;

  constructor(projectPath: string) {
    this.contextDir = path.join(projectPath, 'docs', 'context');
  }

  async initialize(): Promise<void>;
  async saveContext(
    category: string,
    document: ToolContextDocument
  ): Promise<string>;
  async loadLatestContext(category: string): Promise<ToolContextDocument | null>;
  async loadContextByTimestamp(
    category: string,
    timestamp: string
  ): Promise<ToolContextDocument | null>;
  async listContexts(category: string): Promise<string[]>;
  async updateLatestSymlink(category: string, filePath: string): Promise<void>;
  async cleanupOldContexts(
    category: string,
    keepCount: number = 10
  ): Promise<void>;
  generateMarkdown(document: ToolContextDocument): string;
}
````

**Tests**: `tests/utils/context-document-manager.test.ts`

---

#### 1.2 Create README for Context System

**File**: `docs/context/README.md`

Explain:

- Purpose of context documents
- How to use them in prompts
- File organization
- Retention policy
- Examples of referencing context

---

### Phase 2: Bootstrap Tool Integration (Week 2)

#### 2.1 Integrate Context Generation into Bootstrap Tool

**File**: `src/tools/bootstrap-validation-loop-tool.ts`

Add context generation at key points:

```typescript
import { ToolContextManager, ToolContextDocument } from '../utils/context-document-manager.js';

// In BootstrapValidationLoop class
private contextManager: ToolContextManager;

constructor(projectPath: string, adrDirectory: string, maxIterations: number = 5) {
  // ... existing initialization
  this.contextManager = new ToolContextManager(projectPath);
}

// After deployment plan generation (line ~270)
async saveBootstrapContext(
  platformDetection: PlatformDetectionResult,
  validatedPattern: ValidatedPattern | null,
  deploymentPlan: DynamicDeploymentPlan,
  bootstrapAdrPath: string
): Promise<void> {
  const contextDoc: ToolContextDocument = {
    metadata: {
      toolName: 'bootstrap_validation_loop',
      toolVersion: '1.0.0',
      generated: new Date().toISOString(),
      projectPath: this.projectPath,
      projectName: path.basename(this.projectPath),
      status: 'success',
      confidence: platformDetection.confidence * 100,
    },
    quickReference: `
Detected ${platformDetection.primaryPlatform} (${(platformDetection.confidence * 100).toFixed(0)}% confidence).
Using validated pattern: ${validatedPattern?.name || 'Dynamic AI Analysis'}.
Bootstrap ADR: ${bootstrapAdrPath}
`,
    executionSummary: {
      status: 'Platform detected and deployment plan generated',
      confidence: platformDetection.confidence * 100,
      keyFindings: [
        `Primary platform: ${platformDetection.primaryPlatform}`,
        `Validated pattern: ${validatedPattern?.name || 'N/A'}`,
        `Required files: ${deploymentPlan.requiredFiles.length}`,
        `Deployment steps: ${deploymentPlan.deploymentSteps.length}`,
      ],
    },
    detectedContext: {
      platform: {
        primary: platformDetection.primaryPlatform,
        all: platformDetection.detectedPlatforms.map(p => p.type),
        confidence: platformDetection.confidence,
        evidence: platformDetection.evidence.slice(0, 10),
      },
      validatedPattern: validatedPattern ? {
        name: validatedPattern.name,
        version: validatedPattern.version,
        platformType: validatedPattern.platformType,
        baseRepository: validatedPattern.baseCodeRepository.url,
        authoritativeSources: validatedPattern.authoritativeSources.map(s => ({
          type: s.type,
          url: s.url,
          required: s.requiredForDeployment,
        })),
      } : null,
      deploymentPlan: {
        recommendedPlatform: deploymentPlan.recommendedPlatform,
        confidence: deploymentPlan.confidence,
        source: deploymentPlan.source,
        requiredFiles: deploymentPlan.requiredFiles.map(f => ({
          path: f.path,
          purpose: f.purpose,
          required: f.required,
        })),
        environmentVariables: deploymentPlan.environmentVariables.map(e => ({
          name: e.name,
          required: e.required,
          isSecret: e.isSecret,
        })),
        deploymentSteps: deploymentPlan.deploymentSteps.length,
        estimatedDuration: deploymentPlan.estimatedDuration,
      },
    },
    generatedArtifacts: [
      bootstrapAdrPath,
      path.join(this.projectPath, 'bootstrap.sh'),
      path.join(this.projectPath, 'validate_bootstrap.sh'),
    ],
    keyDecisions: [
      {
        decision: `Use ${platformDetection.primaryPlatform} as deployment platform`,
        rationale: `Detected with ${(platformDetection.confidence * 100).toFixed(0)}% confidence based on project structure and configuration files`,
      },
    ],
    relatedDocuments: {
      adrs: [bootstrapAdrPath],
      configs: deploymentPlan.requiredFiles.map(f => f.path),
      otherContexts: [],
    },
  };

  await this.contextManager.saveContext('bootstrap', contextDoc);
}
```

Call this method after creating the bootstrap ADR (around line 270):

```typescript
// After line 270: bootstrapAdrPath created
await this.saveBootstrapContext(
  this.platformDetection!,
  this.validatedPattern,
  this.deploymentPlan!,
  bootstrapAdrPath
);
```

---

#### 2.2 Update Bootstrap Results to Include Context Path

Modify the return type of `executeLoop` to include context document path:

```typescript
return {
  success,
  iterations: this.currentIteration,
  finalResult,
  adrUpdates,
  executionHistory: this.executionHistory,
  deploymentPlan: this.deploymentPlan,
  bootstrapAdrPath,
  contextDocumentPath: contextDocPath, // NEW
  requiresHumanApproval: true,
};
```

---

### Phase 3: Extend to Other Tools (Week 3-4)

Apply similar context generation to:

1. **deployment_readiness** → `docs/context/deployment/readiness-{timestamp}.md`
2. **environment_analysis** → `docs/context/environment/analysis-{timestamp}.md`
3. **perform_research** → `docs/context/research/{topic}-{timestamp}.md`
4. **interactive_adr_planning** → `docs/context/planning/session-{timestamp}.md`

Each tool should:

- Use `ToolContextManager` to save context
- Generate appropriate `ToolContextDocument`
- Return context document path in results
- Update `latest.md` symlink for the category

---

### Phase 4: Usage Patterns & Documentation (Week 4)

#### 4.1 Create Usage Guide

**File**: `docs/how-to-guides/using-tool-context-documents.md`

Content:

- How to reference context in prompts
- Examples for different LLMs (Claude, Gemini, GPT-4)
- Best practices for context injection
- How to find the right context document
- How context improves consistency

---

#### 4.2 Update Tool Documentation

Add sections to each tool's documentation:

- **Context Generation**: What context this tool creates
- **Using Context**: How to reference generated context in future sessions
- **Context Location**: Where to find the context document

---

#### 4.3 LLM Integration Examples

**For Gemini** (limited context):

```
System instructions:
"Before generating ADRs or deployment plans, always check for and read:
1. docs/context/bootstrap/latest.md - For platform and deployment context
2. docs/context/environment/latest.md - For environment configuration
3. docs/context/research/latest.md - For research findings

These context documents contain project-specific validated patterns and decisions."
```

**For Claude** (via CLAUDE.md):

```markdown
## Tool Context Documents

This project uses tool context documents to preserve execution results and decisions.

**Location**: `docs/context/`

**Key Documents**:

- `docs/context/bootstrap/latest.md` - Latest bootstrap/deployment context
- `docs/context/environment/latest.md` - Environment analysis
- `docs/context/research/latest.md` - Research findings

**Usage**: When starting a new session related to deployment, architecture, or infrastructure:

1. Read the relevant latest.md file in docs/context/
2. Use the context to inform decisions and maintain consistency
3. Reference specific decisions and validated patterns from context docs
```

---

### Phase 5: Cleanup & Maintenance (Week 5)

#### 5.1 Create Cleanup Script

**File**: `src/scripts/cleanup-context-docs.ts`

```typescript
// Prune old context documents based on retention policy
// Keep last 10 per category, archive older ones
```

**CLI Command**:

```bash
npm run cleanup:context
```

---

#### 5.2 Add to CI/CD

**.github/workflows/context-cleanup.yml**:

```yaml
name: Context Document Cleanup

on:
  schedule:
    - cron: '0 0 * * 0' # Weekly on Sunday
  workflow_dispatch:

jobs:
  cleanup:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Setup Node
        uses: actions/setup-node@v3
      - name: Install dependencies
        run: npm ci
      - name: Cleanup old contexts
        run: npm run cleanup:context
      - name: Commit changes
        run: |
          git config user.name "github-actions"
          git config user.email "github-actions@github.com"
          git add docs/context/
          git commit -m "chore: cleanup old context documents" || echo "No changes"
          git push
```

---

## Usage Patterns for Developers

### Pattern 1: Starting New Session with Context

**Scenario**: Developer wants to continue deployment after a week

**Without Context**:

```
User: "Continue the OpenShift deployment"
LLM: "Let me detect your platform and analyze your project..."
[Re-runs detection, re-researches, loses previous decisions]
```

**With Context**:

```
User: "Using the context from docs/context/bootstrap/latest.md,
continue the OpenShift deployment"

LLM: [Reads context]
"I see from the bootstrap context that:
- Platform: OpenShift (95% confidence)
- Validated pattern: Multicluster GitOps v2.0
- Bootstrap ADR: docs/adrs/bootstrap-deployment-1234.md
- Last execution: Phase 2 complete, Phase 3 pending

Continuing with Phase 3: Deployment Validation..."
```

---

### Pattern 2: Onboarding New Team Member

**Scenario**: New developer joins the project

**Onboarding Steps**:

1. Read `docs/context/README.md` - Understanding context system
2. Read `docs/context/bootstrap/latest.md` - Current deployment approach
3. Read `docs/context/environment/latest.md` - Environment setup
4. Read relevant ADRs linked in context docs

**Value**: New developer understands project-specific patterns and decisions quickly without re-discovering them.

---

### Pattern 3: CI/CD Pipeline Consistency

**Scenario**: CI/CD pipeline needs to deploy consistently

**.github/workflows/deploy.yml**:

```yaml
- name: Generate Deployment Context
  run: |
    # Use bootstrap tool to generate/update context
    echo "Using context from docs/context/bootstrap/latest.md"

- name: Deploy using Validated Pattern
  run: |
    # Reference context for deployment parameters
    ./bootstrap.sh
```

**Value**: Pipeline uses the same validated pattern and configuration across runs.

---

### Pattern 4: Troubleshooting with Historical Context

**Scenario**: Deployment failed, need to understand what changed

**Troubleshooting**:

```bash
# Compare current context with previous successful deployment
diff docs/context/bootstrap/latest.md \
     docs/context/bootstrap/bootstrap-openshift-20250115.md

# Identify what changed between successful and failed deployment
```

---

## Benefits

### For Developers

- ✅ **Faster onboarding** - Context docs provide project-specific knowledge
- ✅ **Consistent decisions** - Reference previous validated patterns
- ✅ **Reduced re-work** - Avoid re-discovering platform, environment, configs
- ✅ **Better troubleshooting** - Historical context for debugging

### For LLMs

- ✅ **Context preservation** - Overcome limited context windows
- ✅ **Decision consistency** - Maintain architectural alignment across sessions
- ✅ **Reduced hallucination** - Ground decisions in documented context
- ✅ **Faster execution** - Skip re-analysis, use cached research

### For Teams

- ✅ **Knowledge sharing** - Context docs are team knowledge base
- ✅ **Audit trail** - Historical decisions and their rationale
- ✅ **Compliance** - Document deployment decisions for governance
- ✅ **Collaboration** - Shared understanding of project state

---

## Success Metrics

### Quantitative

- **Context Reuse Rate**: % of sessions that reference existing context docs
- **Time to Deploy**: Reduction in deployment time with context vs without
- **Research Cache Hit Rate**: % of research questions answered from context
- **LLM Token Usage**: Reduction in tokens used (less re-analysis)

### Qualitative

- **Developer Satisfaction**: Easier to resume work across sessions
- **Decision Consistency**: Fewer conflicting architectural decisions
- **Onboarding Speed**: Faster for new team members
- **Troubleshooting Efficiency**: Easier debugging with historical context

---

## Future Enhancements

### Version 2.0

- **Semantic Search**: Search across all context documents by topic/keyword
- **Context Diff**: Visual diff tool for comparing contexts
- **Context Validation**: Ensure context docs match current project state
- **Auto-expiration**: Smart cleanup based on relevance, not just age

### Version 3.0

- **Context Graph**: Relationship graph between context docs, ADRs, code
- **AI-Powered Summarization**: Auto-generate context summaries
- **Context Recommendations**: Suggest relevant context docs for current task
- **Cross-Project Context**: Share validated patterns across multiple projects

---

## Appendix: Example Context Document

### Bootstrap Context Example

**File**: `docs/context/bootstrap/bootstrap-openshift-20250119T143022.md`

```markdown
# Tool Context: Bootstrap Validation Loop

> **Generated**: 2025-01-19T14:30:22.123Z
> **Tool Version**: 1.0.0
> **Project**: mcp-adr-analysis-server

## Quick Reference

Detected **OpenShift** (95% confidence) as deployment platform.
Using validated pattern: **Multicluster GitOps** v2.0 from Red Hat Validated Patterns.
Bootstrap ADR created: `docs/adrs/bootstrap-deployment-1705759822.md`

**Next Steps**: Review bootstrap ADR, then run `./bootstrap.sh` to deploy.

## Execution Summary

- **Status**: Success
- **Confidence**: 95%
- **Key Findings**:
  - Primary platform: openshift
  - Validated pattern: Multicluster GitOps
  - Required files: 12
  - Deployment steps: 7

## Detected Context

### Platform/Environment

- **Primary**: openshift
- **All Detected**: openshift, kubernetes, ansible, helm
- **Confidence**: 95%
- **Evidence**:
  - `values-global.yaml` (OpenShift Validated Patterns config) - weight: 90%
  - `.github/workflows/validate-origin.yaml` (GitOps validation) - weight: 80%
  - `charts/` directory (Helm charts) - weight: 70%

### Validated Pattern

- **Name**: Multicluster GitOps
- **Version**: 2.0
- **Platform**: OpenShift
- **Base Repository**: https://github.com/validatedpatterns/multicloud-gitops
- **Documentation**: https://validatedpatterns.io/patterns/multicloud-gitops/
- **Authoritative Sources**:
  - Documentation: https://validatedpatterns.io/patterns/multicloud-gitops/ (required)
  - Base Code: https://github.com/validatedpatterns/multicloud-gitops (required)
  - Framework Guide: https://validatedpatterns.io/learn/vp_openshift_framework/ (required)

### Deployment Plan

- **Recommended Platform**: openshift
- **Confidence**: high
- **Source**: validated-pattern
- **Required Files**: 12
  - `values-global.yaml` (Global Helm values)
  - `values-hub.yaml` (Hub cluster config)
  - `.vault/` (HashiCorp Vault secrets)
  - `charts/` (Helm charts)
- **Environment Variables**: 5
  - `KUBECONFIG` (required, path to kubeconfig)
  - `VAULT_ADDR` (optional, Vault server URL)
- **Estimated Duration**: 20-30 minutes

## Generated Artifacts

- `docs/adrs/bootstrap-deployment-1705759822.md` (Bootstrap ADR)
- `bootstrap.sh` (Deployment script)
- `validate_bootstrap.sh` (Validation script)

## Key Decisions

### 1. Use OpenShift as Deployment Platform

- **Rationale**: Detected with 95% confidence based on `values-global.yaml` (OpenShift Validated Patterns configuration) and GitOps workflow files
- **Alternatives Considered**:
  - Kubernetes (70% confidence, but OpenShift-specific files present)
  - Docker Compose (30% confidence, not suitable for this architecture)

### 2. Use Multicluster GitOps Validated Pattern

- **Rationale**: Best practice pattern from Red Hat for multi-cluster OpenShift deployments. Provides proven deployment workflow, GitOps automation, and HashiCorp Vault integration.
- **Pattern Features**:
  - Multi-cluster management
  - GitOps-based deployment
  - HashiCorp Vault for secrets
  - ArgoCD for continuous deployment

## Usage in Future Sessions

### How to Reference This Context

**For LLMs (Claude, Gemini, GPT-4)**:
```

"Using the bootstrap context from docs/context/bootstrap/latest.md,
continue the OpenShift deployment to Phase 3: Validation"

````

**For Developers**:
```bash
# Check what was detected
cat docs/context/bootstrap/latest.md

# Reference in CI/CD
echo "Deploying using: $(grep 'Primary platform' docs/context/bootstrap/latest.md)"
````

### Related Documents

- **ADRs**:
  - `docs/adrs/bootstrap-deployment-1705759822.md` (Deployment plan)
- **Configs**:
  - `values-global.yaml`
  - `values-hub.yaml`
- **Other Contexts**:
  - `docs/context/environment/latest.md` (Environment analysis)

---

_Auto-generated by bootstrap_validation_loop v1.0.0_

```

---

## Next Steps

1. **Review this plan** with the team
2. **Prioritize tools** to integrate first (bootstrap recommended)
3. **Implement Phase 1** (Core Infrastructure)
4. **Test with bootstrap tool** integration
5. **Iterate** based on usage feedback
6. **Roll out** to other tools progressively

**Estimated Timeline**: 4-5 weeks for full implementation

---

*This plan is a living document. Update as implementation progresses and requirements evolve.*
```
