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Exploring LLM-Powered Coding and AI Agents in Software Development

By

Signez

9mo ago· 9 min readenInsight

Summary

The article explores the author's four-week experience testing AI tools for software development, focusing on LLM-powered coding and the concept of 'agents.' It clarifies that agents are not magical but rely on LLMs to call APIs and process responses iteratively. The tools used by these agents are standardized, such as MCP servers, which provide formatted data access.

Key quotes

· 2 pulled
What you have to understand is that an agent is simply: That’s it. There’s no magic at work, no actual reflection, it’s just letting LLMs decide to answer by calling an API and then feeding them back the response and re-starting the process.
Furthermore, all 'agents' use the same kind of tools: MCP servers all have roughly the same feature: offering access to existing data in a formatted way.
Snippet from the RSS feed
I spent the past ~4 weeks trying out all the new and fancy AI tools for software development.

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