AI Agent Paradigm Shift: From Loop Engineering to Context Engineering
irinarish · x · 2026-07-20
The post summarizes the rapid evolution of underlying paradigms for AI coding agents (like Claude Code, Cursor) over the past year:
- Loop Engineering: The early model had LLMs execute tasks in a "plan-act-observe-fix" loop. Instead of hand-writing prompts, developers designed loops that automatically prompted the agents.
- Context Engineering: Recently, the industry has begun transitioning to a new stage, emphasizing driving agents through dynamically constructed and injected context, rather than solely relying on fixed execution loops.
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