ai agent

Tech industry is buzzing about AI agents, but definitions are unclear. Companies like OpenAI, Microsoft, and Salesforce have varying interpretations, leading to confusion and frustration. With marketing influencing terms, standardization is lacking, causing challenges in measuring effectiveness and aligning expectations. The ambiguity in defining AI agents is both an opportunity for customization and a risk for misaligned goals.

https://techcrunch.com/2025/03/14/no-one-knows-what-the-hell-an-ai-agent-is/

Guide on building agentic systems, detailing architectures for coding agents like Claude Code. Focuses on responsive interactions, parallel execution, permission systems, and tool architecture. Aims to fill gaps in practical documentation for creating tailored AI coding assistants. Author, Gerred, has a robust background in AI and Kubernetes. Guide includes system architecture, execution flow, and extensive documentation on tools and commands, promoting understanding through hands-on examples.

https://gerred.github.io/building-an-agentic-system/

AI agents are software powered by AI that automate tasks traditionally done by humans, like customer service or IT support. There's no clear definition, as companies like Google and Asana view them differently—some see them as task-based assistants, others as extensions of a workforce. While promising advancements are being made, experts caution that current technologies may not yet achieve true automation or handle complex tasks independently, and further development in AI infrastructure and capabilities is necessary before reaching their envisioned potential.

https://techcrunch.com/2024/12/15/what-exactly-is-an-ai-agent/