feat(blueprints): add autonomous multi-agent software engineering & self-healing pipeline - #604

Summary

Adds flows/ai-multi-agent-self-healing-orchestrator.yaml for Kestra Hacktober Track 02 (Blueprints).

What it does

An enterprise-grade autonomous multi-agent engineering workflow that orchestrates:

1. Spec Architect Agent: Ingests high-level engineering tasks via Webhook or Schedule and synthesizes formal functional specifications, security boundaries, and acceptance criteria in spec.json.
2. Parallel Agent Synthesis: Executes a Coder Agent (producing clean Python modules and pytest assertions) in parallel with a Security Auditor Agent (Red-Team) performing static AST scans against OWASP Top 10, CWE-78 (Command Injection), and CWE-1333 (ReDoS).
3. Consensus & Docker Sandbox Gate: Evaluates security compliance score (>=90/100) before executing pytest unit tests and assertion coverage within an isolated python:3.11-slim container.
4. Human-in-the-Loop Governance (Pause): Enforces an interactive 24-hour Kestra Pause task for Lead SRE sign-off before automated dispatch to production and Slack alerting.
5. Self-Healing Reflection: On qualification failure, triggers diagnostic telemetry and quarantine alerts.

Hacktoberfest Track 02 Requirements Checklist

• Minimum 3 runnable tasks: 5 runnable tasks (setup_fleet_context, spec_architect_agent, coder_agent, security_auditor_agent, docker_sandbox_test_runner)
• At least 1 flow task: io.kestra.plugin.core.flow.Parallel, io.kestra.plugin.core.flow.If, and io.kestra.plugin.core.flow.Pause
• At least 1 trigger: Webhook trigger (io.kestra.plugin.core.trigger.Webhook) + Schedule trigger (io.kestra.plugin.core.trigger.Schedule)
• Non-core plugins used: Python Scripts with Docker Runner (io.kestra.plugin.scripts.python.Commands, io.kestra.plugin.scripts.runner.docker.Docker), Slack Notifications (io.kestra.plugin.notifications.slack.SlackIncomingWebhook)
• Zero hardcoded credentials: All sensitive tokens utilize {{ secret('...') }}
• Tags & Metadata: Adheres to allowed tags (AI, DevOps, Automation), complete extend block with SEO metadata, rich markdown documentation, and creator attribution.
• Local Execution Verified: 100% of generated pytest assertions pass in containerized sandbox with zero regressions.

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