
How I Built a Deterministic Multi-Agent Dev Pipeline Inside OpenClaw (and Contributed a Missing Piece to Lobster)
TL;DR: I needed a code → review → test pipeline with autonomous AI agents, where the orchestration is deterministic (no LLM deciding the flow). After two months exploring Copilot agent sessions, building my own wrapper ( Protoagent ), evaluating Ralph Orchestrator, and diving deep into OpenClaw's internals, I found that Lobster (OpenClaw's workflow engine) was the right foundation — except it lacked loops. So I contributed sub-workflow steps with loop support to Lobster, enabling fully deterministic multi-agent pipelines where LLMs do creative work and YAML workflows handle the plumbing. GitHub Copilot coding agent wrote 100% of the implementation. Table of Contents The Backstory: Two Months of Chasing Autonomous Dev Agents The Problem Attempt 1: Ralph Orchestrator Attempt 2: OpenClaw Sub-Agents Attempt 3: The Event Bus Architecture (Overengineered) The Breakthrough: Reading the Docs More Carefully Attempt 4: Skill-Driven Self-Orchestration Attempt 5: Plugin Hooks as an Event Bus The S
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