Understanding Context Limits in Kronk: GGUF, Truncation, & Summarization

An explanation of how context limits work in Kronk (an AI coding tool), covering how GGUF model metadata defines the maximum context size, what happens when the context window fills up (nonsense output or panics), and two strategies for managing it: truncation (cutting the oldest tokens) and summarization (using the model to compress prior context). Both approaches have tradeoffs — truncation risks losing important context, while summarization consumes tokens and requires careful timing to avoid running out of space mid-operation.