Dev Tools · 1h ago
Loop Engineering: Building Autonomous AI Workflows for Developers
Loop Engineering replaces manual prompting with autonomous AI loops that observe, decide, act, and persist state. The approach uses five building blocks: automations, skills, sub-agents, connectors, and state files. A practical example automates CI failure handling by classifying issues, creating Jira bugs, and sending Slack notifications.
Meridian48 take
The concept is a useful evolution of AI agent design, but it's essentially a structured pattern for chaining LLM calls—not a new engineering discipline.
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