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Build AI agents with functions first, frameworks later, advises dev.to

By PulseAugur Editorial · [1 sources] ·

Developers are advised to build AI agents using plain functions and structured outputs before adopting a framework. This approach allows for clearer workflow mapping, explicit branching, and easier debugging by logging inputs and outputs at defined boundaries. Requesting JSON with enforced schemas for model outputs is crucial for programmatically processing information, such as extracting fields or selecting tools. Frameworks should only be introduced when specific needs like improved debuggability, state management for interrupted work, complex branching, or iterative retrieval experimentation arise. AI

IMPACT Recommends a development strategy for building more robust and maintainable AI agents.

RANK_REASON Article provides advice and best practices for building AI agents, not a new release or research finding.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Build AI agents with functions first, frameworks later, advises dev.to

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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Conor Bronsdon ·

    Write your agent as functions first, add a framework later

    <p>Plenty of agent tutorials open with a framework import. I'd start with ordinary functions that call a model, return structured data, and invoke tools in an order you can read top to bottom. A single model call is rarely the whole product. A <a href="https://chainofthought.show…

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