🤖 AI & Machine Learning

What If Your Code Could Think — And Call APIs Without Permission?

Imagine software that doesn't just chat — it acts, looping through APIs until your task is crushed. Here's the blueprint to build one yourself, no hand-holding required.

theAIcatchup Apr 09, 2026 3 min read
Schematic of AI agent loop: user goal to LLM decision, tool calls, iteration, and final output

⚡ Key Takeaways

  • Agents shift software from rigid scripts to goal-driven execution, echoing Unix pipes' composability. 𝕏
  • Core loop: LLM decides tools, calls APIs, iterates — build with OpenAI schemas and a simple while. 𝕏
  • Scale pitfalls: weak prompts and no safeguards kill reliability; add reasoning and limits. 𝕏
Published by

theAIcatchup

Community-driven. Code-first.

#AI agents #API automation #API orchestration #OpenAI tools #task automation agent

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Originally reported by Dev.to

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