Practical AI While loops with tool calls
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Oct 30, 2025 
Jared Zoneraich, co-founder and CEO of PromptLayer, dives into the evolution of prompt engineering into context engineering. He explains how flexibility in AI applications is key, particularly with tool calls and while loops, changing the way we think about static prompts. Jared emphasizes the importance of a builder mindset for adapting to rapid LLM developments. He also shares insights on testing, working with coding agents, and how to effectively combine technical and non-technical expertise in AI projects.
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Prompting Evolved Into Context Engineering
- Models have improved so prompts are easier to steer and less hacky workarounds are needed.
- Context engineering expands prompting to include data, multiple models, and orchestration choices.
From DAGs To While-Loops With Tools
- Builders moved from complex DAGs to more autonomous loops because models can handle more context and follow instructions better.
- Jared summarizes this as 'everything's a while loop with tool calls now.'
Choose Models By Testing, Not Hype
- Treat models as black boxes and determine the right model for your use case by testing in your environment.
- Build repeatable tests and evaluations rather than relying on vendor recommendations.