![Loop Engineering | תמיר דרשר [עושים תוכנה] Episode cover](https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4cf99af1e66f4f82abdfbe2bc10aad3e.jpg)
Loop engineering marks the shift from static, single-prompt AI interactions to autonomous, repeatable agentic systems capable of end-to-end task implementation. Tamir Drescher, a Principal Engineer at Microsoft and co-creator of Squad, explains that modern agentic workflows require robust "harnesses" to integrate tools, manage context, and enforce deterministic evaluation stages. By treating AI agents as specialized, modular components—similar to micro-services—developers can implement multi-agent architectures that feature self-healing, memory hierarchy, and governance. These systems rely on clear planning, structured feedback loops, and rigorous data contracts to ensure reliability and prevent hallucinations. Ultimately, moving beyond naive prompt engineering toward structured, human-driven agentic workflows allows for scalable, autonomous AI operations that maintain consistency and security across complex, long-running processes.
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