Mastering Agent Loops
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Mastering Agent Loops
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AI agent loops are becoming one of the most important design patterns in modern software development. Instead of using AI only as a chat assistant, teams are now experimenting with autonomous loops where agents can pick up tasks, write code, review changes, fix errors, and continue working through structured feedback cycles.
In this episode of Intelligent Insights, we explore the systems design and implementation strategy behind agent loops. We look at how tools like Claude Code and specialized coding agents can improve productivity by handling repetitive engineering workflows such as backlog processing, code generation, testing, and review cycles.
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