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Discussions surrounding large context windows highlight widespread frustration among traditional software engineers over the inherent non-determinism and anecdotal troubleshooting culture of Large Language Models. While developers struggle with the lack of repeatability and the difficulty of translating vague human prompts into reliable tool calls, many still embrace the transformative power of AI agents. Ultimately, technologists are learning to leverage these unpredictable systems to fundamentally reshape their workflows despite the underlying technical challenges.

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