Latest news, updates, and insights
Part 2 of the deep dive into code-analyzer-cli. This article covers Impact Analysis (blast radius calculation), code mapping with Louvain community detection, automated code review with risk scoring, the paging protocol for AI agents, and the conclusion: treating code as data.
A deep dive into code-analyzer-cli, the open-source code analysis tool built for AI coding agents. The article walks through static vs dynamic analysis, ASTs and tree-sitter, the symbol model, call and import graphs powered by petgraph, and the three-state Resolver design that lets an Agent reason about a codebase reliably β without hallucinated relationships.
An introduction to ZAgent's code_analyzer β a tree-sitter and graph-based tool that builds a structural map of a codebase, helping the Agent quickly understand large projects before diving into the files. It pairs with glob, grep, and read to make code exploration faster, more precise, and less wasteful.
How ZAgent's shared shell session turns the Agent from a background command executor into an observable, takeover-able, interruptible collaborator. Through a real PTY-based session that both human and Agent share, complex tasks like remote server maintenance, SSH-based diagnostics, and security audits become smooth, transparent, and safer.
Read more βReflections on what an AI Agent really is: when you give an LLM tools and an environment to interact with, it goes far beyond chat and starts completing real tasks. This article shares the origin story of ZAgent, explores when AI Agents are the right choice versus traditional automation, and discusses how to collaborate effectively with them.
Read more β