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AI-Driven Control Flow Paradigm

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AI-Driven Control Flow Paradigm
Photo by Possessed Photography / Unsplash

At first, you had to write the logic,
- if A then B,
- if C then D.
But now you hand control over to AI and hope it does the right thing. Most of the time, it does the right thing, and it's just getting better.

This is the AI-driven control flow paradigm, where logic melts into AI. Imagine that at first, if you wanted to build a dating app, you would collect information about each person. Questions like

  • What are your interests
  • What are you looking for
  • What's your zodiac sign
  • Eduaction
  • Family plan
  • Pets
  • Workouts
  • Diet
  • ...

And the list could go on. You would then proceed to write a recommendation algorithm to match people. This will make writing something like a basic dating app difficult.

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Algorithm here is just for example.

However, with AI, and especially high-performing LLMs like ChatGPT, the story is different. All you need to do;

  • Give your LLM a base prompt: “You are a world-class matchmaker.”
  • Let users chat with it freely, like they’re speaking with a coach or confidant.
  • Ask the LLM to match users based on the unstructured conversations it’s had with each of them.
💡
Control is handed to Grok to decide
It’s only a matter of time before all control flow logic is handed over to LLMs.

The barriers to building complex applications are collapsing.

Take the recently viral food calorie app:
You snap a photo of your meal, and it tells you the ingredients, portions, and estimated calories.

This app made millions. The entire core logic is handled by an LLM.

There’s no handcrafted rule set. No domain-specific algorithm. Just a well-prompted model doing reasoning on demand.

The developer didn’t need a nutritionist or a food scientist. They needed a good prompt, a reliable LLM backend, and a way to deliver the experience.

This is the new software stack:

💡
Prompt + Model + UX.
Control is no longer about logic trees—
Control is handed to intelligence.

Agentic Oriented Programming

This is going to be the most popular programming paradigm for some time now. Just as object-oriented programming dominated the era of higher-level programming.

Agentic-oriented programming already existed, but now it is going to be more widely used since we can have actual agents now. Google recently unleashed its A2A protocol, outlining how various agents can collaborate. This is like GRPC for the API era.

This is how life is going to be now: multiple autonomous AI agents talking on behalf of humans, and this is just the beginning.