
The AI landscape is witnessing a significant shift towards managed agents, such as Cursor 3 and Claude Code, which emphasize production-ready context and execution infrastructure. This transition marks a move away from traditional prompt engineering, focusing instead on systems, tooling, and interfaces that enhance AI model performance. Key features like progressive disclosure, observability, and verification are becoming essential for real-world AI applications, highlighting the importance of engineering and organizational design in achieving business impact.
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