Audio Engineer Builds Mix Analysis Tool with Claude Code

An audio engineer has built a mix analysis tool using Claude Code that provides direct feedback on audio mixes. The tool addresses common problems like muddy low-mids, insufficient headroom, and vocals buried in the mix.
How It Works
The tool uses the Web Audio API to analyze frequency balance, dynamics, stereo width, and loudness. Claude then generates a detailed breakdown of what needs work, functioning like an engineer friend who provides honest feedback without sugarcoating.
Features
- Free tier: Provides a quick roast highlighting main issues
- Paid pro report: Offers deep dive analysis with frequency-by-frequency notes and specific plugin suggestions
Technical Implementation
The entire application was built with Claude Code, including:
- Frontend development
- Analysis logic
- Prompt engineering for roast output
The developer noted that the most challenging aspect was getting the Web Audio API to extract meaningful data from audio files before sending it to Claude for interpretation.
The tool is available at roastyourmix.com.
📖 Read the full source: r/ClaudeAI
👀 See Also

ComfyUI Skill Enables AI Agents to Queue and Batch Image Renders via Natural Language
A new open-source skill allows OpenClaw agents to construct ComfyUI workflows, submit jobs, and manage renders through natural language commands like 'Make 50 variations of this concept with different seeds' or 'Compare these 4 prompts side by side at 1024x1024'.

NLA Transforms Gemma 3’s Internal Activations into Readable Text for Any Token
Anthropic released Natural Language Autoencoders (NLA) that decode a model’s internal state into text. Paired with Gemma 3, the Auto Verbalizer explains what the model was “thinking” for any generated token. Weights are on Hugging Face; demo on Neuronpedia.

LightMem: Lightweight Memory System for LLM Agents with 10×+ Gains and 100× Lower Cost
LightMem is a modular memory system for LLM agents that achieves up to 10.9% accuracy improvement while reducing tokens by up to 117×, API calls by up to 159×, and runtime by over 12×. It's designed for scalable long-context reasoning across agent workflows.
Using an adversarial Claude chat to catch kickoff ambiguities before they cost you
A developer added a second Claude chat whose only job is to adversarially review kickoffs for ambiguous specs and silent failures, saving an estimated $150-400 in Claude Code rework across a project phase.