For the past few years, prompt engineering has been one of the hottest topics in AI. Countless...
Context engineering—via retrieval, vector databases, APIs—is more critical than prompt engineering for AI quality. For CTOs, this shift toward RAG/MCP architectures that automate retrieval impacts design decisions, reliability, and scalability.
For the past few years, prompt engineering has been one of the hottest topics in AI.
Countless tutorials have promised the "perfect prompt."
Courses have been built around writing better prompts.
Developers have spent hours refining wording to squeeze better responses from large language models.
But after building AI systems across multiple projects, I think the conversation is changing.
Over the last year, I've lost count of how many conversations I've seen about prompt engineering....
For the last two years, "Prompt Engineering" has been one of the hottest skills in AI. People spent...
A couple of years ago, almost every AI discussion revolved around one thing: Prompt...
Prompt engineering is still useful, but modern AI systems also need context engineering and KV cache aware prompt design. Here is…
Prompt engineering taught you what to write. Context engineering teaches you what the model sees, and why that is the difference…
Author(s): “The AI Engineer” Originally published on Towards AI. Context Engineering vs Prompt Engineering: The Winner May…
