ARCLUX 🐳 — a codebase intelligence tool that refuses to guess published: false
If you've ever stared at a 15,000-file monorepo wondering "what actually breaks if I touch this file," you know the feeling: you either click through imports by hand, or you trust a tool that's quietly guessing. ARCLUX is my answer to that — a dependency graph and impact analysis tool, CLI + web dashboard, built on one non-negotiable rule: every fact it reports has to trace back to real parsed…
ARCLUX is a unique codebase intelligence tool that focuses on providing deterministic, zero-ambiguity answers about how your code is structurally connected. Unlike other AI-powered codebase intelligence tools that rely on probabilistic methods like semantic search or RAG, ARCLUX adheres to a single rule: every fact it reports must trace back to real parsed code. It offers a dependency graph and impact analysis tool, available as a CLI and web dashboard.
The tool's core functionality lies in tracing impact, which is accomplished through a breadth-first walk over the real dependency graph. Starting from the module directly imported by a user-chosen module, the tool expands outward to account for every transitive consumer. This process is entirely traceable and reproducible, with no reliance on heuristics or scoring.
One of ARCLUX's 18 structural detectors specifically addresses ambiguous symbol resolution, a common issue that can lead to incorrect answers from tools like AI coding assistants. By categorizing symbol resolution errors and providing a severity model based on real-world failure cases, ARCLUX ensures that developers are immediately alerted to potential issues before they can be compounded by other tools.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.
