QCSD Development Swarm v1.0
Shift-left quality engineering swarm for in-sprint code quality assurance.
Overview
The Development Swarm takes refined stories (that passed Refinement) and validates code quality during sprint execution. Where the Ideation Swarm asks "Should we build this?" and the Refinement Swarm asks "How should we test this?", the Development Swarm asks "Is the code quality sufficient to ship?"
QCSD Phase Positioning
| Phase | Swarm | Decision | When |
|---|---|---|---|
| Ideation | qcsd-ideation-swarm | GO / CONDITIONAL / NO-GO | PI/Sprint Planning |
| Refinement | qcsd-refinement-swarm | READY / CONDITIONAL / NOT-READY | Sprint Refinement |
| Development | qcsd-development-swarm | SHIP / CONDITIONAL / HOLD | During Sprint |
| Verification | qcsd-cicd-swarm | RELEASE / REMEDIATE / BLOCK | Pre-Release / CI-CD |
| Production | qcsd-production-swarm | HEALTHY / DEGRADED / CRITICAL | Post-Release |
Parameters
SOURCE_PATH: Source code directory to analyze (required, e.g.,src/auth/)TEST_PATH: Test directory for coverage analysis (optional, e.g.,tests/auth/)OUTPUT_FOLDER: Where to save reports (default:${PROJECT_ROOT}/Agentic QCSD/development/)
ENFORCEMENT RULES - READ FIRST
| Rule | Enforcement |
|---|---|
| E1 | You MUST spawn ALL THREE core agents (qe-tdd-specialist, qe-code-complexity, qe-coverage-specialist) in Step 2. No exceptions. |
| E2 | You MUST put all parallel Task calls in a SINGLE message. |
| E3 | You MUST STOP and WAIT after each batch. No proceeding early. |
| E4 | You MUST spawn conditional agents if flags are TRUE. No skipping. |
| E5 | You MUST apply SHIP/CONDITIONAL/HOLD logic exactly as specified in Step 5. |
| E6 | You MUST generate the full report structure. No abbreviated versions. |
| E7 | Each agent MUST read its reference files before analysis. |
| E8 | You MUST apply qe-defect-predictor analysis on ALL code changes in Step 8. Always. |
| E9 | You MUST execute Step 7 learning persistence. No skipping. |
PROHIBITED BEHAVIORS:
- Summarizing instead of spawning agents
- Skipping agents "for brevity"
- Proceeding before background tasks complete
- Providing your own analysis instead of spawning specialists
- Omitting report sections or using placeholder text
Step Execution Protocol
This skill uses a micro-file step architecture. Each step is a self-contained file loaded one at a time to avoid "lost in the middle" context degradation.
Execute steps sequentially by reading each step file with the Read tool.
Steps
- Flag Detection --
steps/01-flag-detection.md-- Scan source code and tests, detect all 6 flags - Core Agents --
steps/02-core-agents.md-- Spawn qe-tdd-specialist, qe-code-complexity, qe-coverage-specialist in parallel - Batch 1 Results --
steps/03-batch1-results.md-- Wait for core agents, extract all metrics - Conditional Agents --
steps/04-conditional-agents.md-- Spawn flagged conditional agents in parallel - Decision Synthesis --
steps/05-decision-synthesis.md-- Apply SHIP/CONDITIONAL/HOLD logic - Report Generation --
steps/06-report-generation.md-- Generate executive summary and full report - Learning Persistence --
steps/07-learning-persistence.md-- Store findings to memory, save persistence record - Defect Predictor --
steps/08-defect-predictor.md-- Run qe-defect-predictor analysis on all code changes - Final Output --
steps/09-final-output.md-- Display completion summary with all scores
Execution Instructions
- Use the Read tool to load the current step file (e.g.,
Read({file_path: ".claude/skills/qcsd-development-swarm/steps/01-flag-detection.md"})) - Execute the step's instructions completely
- Verify all success criteria are met before proceeding
- Pass the step's output as context to the next step
- If a step fails, halt and report the failure point -- do not skip ahead
Resume Support
To resume from a specific step: specify --from-step N and the orchestrator will skip to step N. Ensure you have the required prerequisite data from prior steps.
Agent Inventory
| Agent | Type | Domain | Batch |
|---|---|---|---|
| qe-tdd-specialist | Core (always) | test-generation | 1 |
| qe-code-complexity | Core (always) | code-intelligence | 1 |
| qe-coverage-specialist | Core (always) | coverage-analysis | 1 |
| qe-security-scanner | Conditional (HAS_SECURITY_CODE) | security-compliance | 2 |
| qe-performance-tester | Conditional (HAS_PERFORMANCE_CODE) | chaos-resilience | 2 |
| qe-mutation-tester | Conditional (HAS_CRITICAL_CODE) | test-generation | 2 |
| qe-message-broker-tester | Conditional (HAS_MIDDLEWARE) | enterprise-integration | 2 |
| qe-sap-idoc-tester | Conditional (HAS_SAP_INTEGRATION) | enterprise-integration | 2 |
| qe-sod-analyzer | Conditional (HAS_AUTHORIZATION) | enterprise-integration | 2 |
| qe-defect-predictor | Analysis (always) | defect-intelligence | 3 |
Total: 10 agents (3 core + 6 conditional + 1 analysis)
Quality Gate Thresholds
| Metric | SHIP | CONDITIONAL | HOLD |
|---|---|---|---|
| TDD Adherence | >= 80% | 60 - 79% | < 60% |
| Code Complexity | Avg <= 10 | Avg 11-15 | Avg > 15 |
| Test Coverage | >= 80% | 60 - 79% | < 60% |
| Mutation Score | >= 70% | 50 - 69% | < 50% |
| Security Issues | No HIGH/CRITICAL | MEDIUM only | HIGH/CRITICAL found |
Report Filename Mapping
| Agent | Report Filename | Step |
|---|---|---|
| qe-tdd-specialist | 02-tdd-analysis.md | 2 |
| qe-code-complexity | 03-complexity-analysis.md | 2 |
| qe-coverage-specialist | 04-coverage-analysis.md | 2 |
| qe-security-scanner | 05-security-scan.md | 4 |
| qe-performance-tester | 06-performance-analysis.md | 4 |
| qe-mutation-tester | 07-mutation-testing.md | 4 |
| qe-message-broker-tester | 08-middleware-health.md | 4 |
| qe-sap-idoc-tester | 09-sap-integration.md | 4 |
| qe-sod-analyzer | 10-sod-compliance.md | 4 |
| Learning Persistence | 11-learning-persistence.json | 7 |
| qe-defect-predictor | 12-defect-prediction.md | 8 |
| Synthesis | 01-executive-summary.md | 6 |
Execution Model Options
| Model | When to Use | Agent Spawn |
|---|---|---|
| Task Tool (PRIMARY) | Claude Code sessions | Task({subagent_type, run_in_background: true}) |
| MCP Tools | MCP server available | fleet_init({}) / task_submit({}) |
| CLI | Terminal/scripts | swarm init / agent spawn |
Key Principle
Code quality is measured by evidence, not intentions. This swarm provides in-sprint quality assessment to ensure code meets engineering standards before entering the CI/CD pipeline.