The next big tech skill is not prompting.
It is orchestration.
A good prompt can get you a useful answer.
But real product value does not come from asking one chatbot one smart question.
It comes from designing how models, tools, APIs, business rules, memory, and workflows work together in production.
That is the harder problem.
And honestly, that is where the real engineering begins.
Lately, I’ve noticed that the main challenge is no longer:
“Can the model do this?”
It is:
“Can the system fetch the right context, call the right tool, pass the output correctly, recover from failures, and still fit naturally into the user’s workflow?”
That is orchestration.
This is also where the industry is moving.
We are seeing more systems built around multiple agents, multiple tools, and workflow-driven execution rather than a single model sitting in isolation.
Prompting still matters.
But prompting is becoming a baseline skill.
Orchestration is what turns isolated AI capability into usable software.
That is the shift I’ve been seeing in my own work.
And I think engineers who understand routing, context management, tool use, validation, and reliability will stand out much more in the next wave of AI products.
Curious how others see this:
Are you spending more time improving prompts
or more time designing the system around them?
Top comments (0)