Add operational observability problem document

[ralphbean]

Explore the operational challenges of running a fully autonomous software factory: debuggability, system health monitoring, cost tracking, continuous improvement, and the community operating model. Distinct from individual agent tracing (narrower scope) — this document focuses on what the humans and teams operating the factory need to understand, the questions they need to answer, and the tooling approaches that make the system debuggable and improvable at organizational scale.

Inspired by the agent-agent-observability-langfuse branch, which surfaced the need for a broader treatment of operational debuggability beyond agent execution tracing and specific tool choices.

Assisted-by: OpenCode claude-opus-4-6@default

[qodo-code-review]

Review Summary by Qodo

Add operational observability problem document for autonomous factory

📝 Documentation

Walkthroughs

Description

• Introduces comprehensive operational observability problem document
• Addresses challenges of running autonomous software factory at scale
• Covers debuggability, system health monitoring, cost tracking, and continuous improvement
• Explores community operating model and tooling approaches

Diagram

flowchart LR
  A["Operational Challenges"] --> B["System Health Monitoring"]
  A --> C["Debuggability & Debugging"]
  A --> D["Cost Tracking"]
  A --> E["Continuous Improvement"]
  B --> F["Observability Tooling"]
  C --> F
  D --> F
  E --> F
  F --> G["Community Operation Model"]

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File Changes

1. README.md 📝 Documentation +1/-0

Add operational observability documentation link

• Added reference to new operational observability problem document
• Links to docs/problems/operational-observability.md in problem areas list
• Includes one-line description of the document's focus

README.md

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2. docs/problems/operational-observability.md 📝 Documentation +195/-0

Comprehensive operational observability problem exploration

• New 195-line document exploring operational challenges of autonomous software factory
• Covers five core operational questions: system health, incident debugging, trend analysis,
 improvement prioritization, and cost tracking
• Details debuggability requirements: structured traces, human feedback capture, replay
 capabilities, and anomaly detection
• Discusses community operating model with part-time operators, distributed ownership, and
 transparency as trust principle
• Evaluates tooling approaches: LLM-specific platforms (Langfuse, Phoenix), existing infrastructure
 (Prometheus/Grafana), hybrid approaches, and structured logging
• Maps relationships to other problem areas and lists open questions for implementation

docs/problems/operational-observability.md

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