OpenCode Research Execution Plan

Objective

Systematically research agentic software development using parallel OpenCode agents, each focusing on a specific topic.

Architecture

Jenny (Orchestrator)
├── OpenCode Worker 1: Agentic Loops & Orchestration
├── OpenCode Worker 2: Feedback & Reflection
├── OpenCode Worker 3: Automated Code Review
├── OpenCode Worker 4: Testing & Quality
├── OpenCode Worker 5: CI/CD & Deployment
└── OpenCode Worker 6: SDLC Integration

Worker Task Template

Each OpenCode worker receives:

RESEARCH TASK: [Topic Name]

Deliverables:
1. Literature review (5-10 key sources)
2. Current tools/implementations
3. Patterns and best practices
4. Gaps and opportunities
5. Implementation recommendations

Output format:
- Save to: /home/clawdbot/projects/agentic-dev-research/topics/[NN]-[topic].md
- Include YAML frontmatter with metadata
- Cite all sources
- Provide code examples where relevant

Research approach:
1. Web search for papers, blogs, GitHub repos
2. Deep dive into most promising sources
3. Synthesize findings
4. Write structured report
5. Commit and push to research repo

Time budget: 2-3 hours per topic
Model: Use efficient model (kimi-for-coding or similar)

Execution Flow

Phase 1: Parallel Research (Day 1-3)

Spawn all 6 workers simultaneously. Each works independently on their topic.

Phase 2: Cross-Review (Day 4)

Workers review each other's findings. Identify overlaps and gaps.

Phase 3: Synthesis (Day 5)

Jenny consolidates all findings into:

• Master patterns catalog
• Implementation roadmap
• Tool recommendations

Research Questions by Topic

1. Agentic Loops

• What loop structures exist? (plan→exec→validate, reflect→improve, etc.)
• How to prevent infinite loops?
• When to involve humans?
• Cost optimization strategies?

2. Feedback & Reflection

• How do agents learn from mistakes?
• What memory structures work best?
• How to weight recent vs historical feedback?
• Self-improvement mechanisms?

3. Code Review

• What can be automated vs needs human?
• Static analysis integration points
• Security scanning workflows
• Style enforcement strategies

4. Testing

• Automated test generation approaches
• Property-based testing with AI
• Test maintenance strategies
• Coverage analysis

5. CI/CD

• Pipeline as code validation
• Deployment verification
• Rollback automation
• Post-deploy monitoring

6. SDLC Orchestration

• End-to-end workflow design
• Multi-agent coordination
• Context preservation
• Audit trails

Success Metrics

• 6 comprehensive topic reports
• 30+ sources cited
• 10+ reusable patterns identified
• Implementation roadmap for AllRisk