Explore Prompt Caching guides and tutorials on vybecoding.ai. Each guide is a structured, multi-lesson course covering practical techniques, real-world examples, and hands-on exercises for developers at every skill level. Whether you are just getting started with Prompt Caching or looking to deepen your expertise, these guides provide the depth and clarity to move forward with confidence.
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GitHub instrumented its own agentic workflows and found agents quietly burning tokens on overhead nobody asked for. This guide breaks down the three fixes that cut real cost by 19–62%, and how to measure efficiency instead of raw volume.
A practical Anthropic SDK walkthrough of Meta's Autodata closed-loop pattern — four subagents (Generator, Evaluator, Filter, Optimizer), exact acceptance thresholds, and a TypeScript implementation that turns inference compute into higher-quality training data.
GitHub instrumented its own agentic workflows and found agents quietly burning tokens on overhead nobody asked for. This guide breaks down the three fixes that cut real cost by 19–62%, and how to measure efficiency instead of raw volume.
Level: intermediate · 11 min read
A practical Anthropic SDK walkthrough of Meta's Autodata closed-loop pattern — four subagents (Generator, Evaluator, Filter, Optimizer), exact acceptance thresholds, and a TypeScript implementation that turns inference compute into higher-quality training data.
Level: intermediate · 24 min read