Context Engineering & Loop Engineering in Telugu | Vamsi Bhavani

In 2026, Prompt Engineering is not suffcient. If you want AI(LLMs) to respond efficiently, you need context engineering and loop engineering too. In this video, we will discuss exactly on the same.

Here are the chapters for this video:

• Introduction (0:00 - 1:29): An overview of why Prompt Engineering alone is no longer sufficient in 2026 and the necessity of evolving AI communication skills.

• The State of Prompt Engineering (1:29 - 3:43): A look at the 2023-24 boom of prompt engineering and why its importance has shifted as LLMs have become more capable of self-optimization.

• Context Engineering (4:20 - 7:00): An explanation of how providing relevant context and resources (like using RAG) is critical to obtaining high-quality AI outputs efficiently.

• Loop Engineering (7:01 - 8:47): A discussion on automating AI agents for long-running tasks, allowing them to iterate and self-correct without constant human supervision.

• Conclusion (8:48 - 9:42): Final thoughts on the importance of continuous adaptation and focusing on the combination of prompt, context, and loop engineering.

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Jai hind!!!