Three flavors of coding with AI agents
The article discusses three approaches to coding with AI agents, emphasizing the need for a clear definition of what constitutes an AI agent. It highlights the potential of launching multiple processes in parallel to achieve tasks autonomously. The author shares personal experiences with different methods of agentic coding, illustrating their effectiveness and complexity.
- ▪AI agents are defined as software processes that operate autonomously based on initial instructions.
- ▪The author experimented with three flavors of coding using AI agents, including launching multiple command line interfaces and using headless mode for crawlers.
- ▪The second flavor involved creating a script to generate crawlers for over 200 websites, demonstrating a more complex approach than the first flavor.
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Three flavors of coding with AI agents May 29, 2026 A reasonable definition of an “AI agent”, at least in the context of agentic coding, could be: a software process endowed with the capabilities of an LLM launched with instructions given at the start to accomplish a task which runs autonomously (no interactive session with a human), for a significant period of time with non-deterministic behavior: the agent adapts to the circumstances, hopefully without deviating from the instructions it received These software processes (agents) can be launched in parallel to achieve faster results or to accomplish a larger number of tasks: same process launched in multiple copies, or a variety of processes launched at once.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Nocodefunctions.
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