Grab your coffee. Here are this week’s highlights.

📅 Today’s Picks

Vulture – Scan Python Projects for Dead Code

Problem

Dead code creates maintenance cost without adding value to the current workflow. However, asking an LLM to find dead code can be expensive and inconsistent.

It only sees the context you provide, may invent usage patterns that do not exist, and can return different cleanup suggestions for the same project.

Solution

Vulture scans your code locally with static analysis, so the same input produces the same findings without token cost.

You can use Vulture for the repeatable dead-code scan, then bring in an LLM for the refactor.

Repomix – Turn GitHub Repos into AI-Ready Context

Problem

You might want an AI assistant to scan a repo so it can understand how the files work together.

But without controlled context, it may read generated files, old tests, docs, or unrelated modules before reaching the code that matters.

Solution

Repomix turns the repo into a prepared context file with filtering, compression, and token counts.

You decide what gets packed before sending it to the AI, so the prompt stays focused and cheaper.