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IBM's Bob Used to Build a Loop Engineering App Demonstrating Self-Correcting AI Cycles

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A developer partnered with IBM's AI assistant Bob to build a working Loop Engineering application from scratch, moving beyond theory to explore production-grade implementation. Loop Engineering replaces single-pass LLM prompts with iterative, self-correcting cognitive cycles structured around five stages: Perceive, Plan, Act, Observe, and Reflect. The sample project, an Autonomous Research Summarizer, uses a two-tier nested loop architecture where an outer orchestrator manages high-level research phases and an inner engine handles atomic cognitive steps. State is tracked across three distinct memory types — volatile working memory, immutable episodic records, and persistent semantic memory — ensuring deterministic termination and quality control. The walkthrough covers code, design patterns, and schemas, offering a concrete reference for developers looking to implement autonomous agent frameworks.

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