Building the Operations Layer for a Multi-Agent Development System

[YOUR VOICE] The Claim

Multi-agent development systems need an operations layer the same way distributed systems need infrastructure. Without it, every agent reinvents context management, instruction routing, and project initialization — and each reinvention drifts.

The Mechanism

devenv is the operations layer behind a multi-agent development system spanning 44+ projects and 11+ agent entities across Claude Code, Gemini CLI, and Codex. It handles:

• Context budget management — ensuring agents stay within their context windows without losing critical information
• Instruction routing — CLAUDE.md, GEMINI.md, CODEX.md files that give each runtime the context it needs
• Roadmap schemas — standardized task tracking that agents can read and update
• Drift detection — identifying when agent behavior diverges from project intent
• Project initialization — scaffolding that makes new projects agent-ready from day one

MISSING — Specific architecture diagrams, configuration examples, and the devenv CLI interface

The Evidence

MISSING — Before/after metrics: time to onboard a new project, frequency of drift incidents, agent context utilization rates

MISSING — Concrete examples of drift detection catching real problems

[YOUR VOICE] Implications

MISSING — Why this matters for anyone running more than 3 projects with AI assistance. The operations layer as infrastructure, not overhead.

Open Questions

• At what project count does the operations layer pay for itself?
• Can the scaffolding be open-sourced as a standalone tool?
• How does the operations layer interact with the Interagent Protocol?

Reference Documents