How omp Runs Subagents Differently
Most coding agents treat a subagent as a nested chat that returns prose. omp gives workers typed results, direct peer messages, and safer shared-file edits.
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Thoughts on data engineering, GenAI, distributed systems, and software architecture. Views expressed here are my own and do not represent my employer. RSS
Most coding agents treat a subagent as a nested chat that returns prose. omp gives workers typed results, direct peer messages, and safer shared-file edits.
After 2 months switching between Claude Code, Codex, Gemini CLI, and Pi Agent for different coding tasks, Pi's 'primitives not features' philosophy turned it into the connective tissue between heavier tools.
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CMU's Critique of Agent Model gets the taxonomy right. Most AI agents are orchestrators, not autonomous systems. But 40+ pages pursuing true autonomy and barely a mention of institutional accountability reveals the field's real blind spot.