Do you use AI to coding? Must concern on architecture
Summary
An open-source CLI tool scans Python, JavaScript, and TypeScript projects to identify modules and provide architecture metrics, with AI assistance for coding.
Similar Articles
How do you prefer using AI for coding: IDE, CLI, or something else?
Asks developers about their preferred way of using AI for coding, whether through an IDE, CLI, or other interfaces.
@chenzeling4: Your AI coding assistant reads the entire codebase every single request. That's why it's slow and expensive. Code-revie…
code-review-graph is an open-source Python tool that builds a persistent structural map of your codebase, enabling AI coding assistants to fetch only relevant context instead of reading the entire repo on every request, drastically reducing token usage and cost.
@NainsiDwiv50980: AI agents got smarter. Their way of understanding codebases didn't. Most still crawl through repositories file-by-file,…
A fully open-source codebase intelligence engine called SocratiCode helps AI navigate repositories using semantic search, dependency graphs, impact analysis, and shared indexes without vendor lock-in.
Open Code Review – An AI-powered code review CLI tool
Alibaba has open-sourced Open Code Review, an AI-powered CLI tool for code review that combines deterministic engineering with LLM agent capabilities. Originally an internal tool serving tens of thousands of developers and identifying millions of defects, it reads Git diffs and produces structured, line-level review comments using a configurable model endpoint.
Is AI agents making it easier to build software than to understand it?
A developer reflects on how AI coding agents can rapidly build and modify software, but developers often lose understanding of the codebase architecture and decisions, creating a new engineering challenge.