unvibecode 0.3.2

Turn complex code into connected LLM context, business workflows, and critical risk findings

UnvibeCode

Vibe the prototype. Unvibe the codebase.

Turn complex vibe code into verified engineering—understand its connections, business workflows, and critical business risks.

Vibe coding works well for prototypes. As a repository grows, behavior becomes spread across files, services, state changes, and external calls. UnvibeCode reviews that repository as one connected system and produces customer-ready HTML reports plus reusable LLM context.

Install and review in two commands

python -m pip install --upgrade unvibecode

python -m unvibecode review --repository "/path/to/repository"

Windows example:

python -m unvibecode review --repository "D:\upstox"

macOS or Linux users can use python3 when that is their installed Python command:

python3 -m pip install --upgrade unvibecode
python3 -m unvibecode review --repository "/Users/example/repository"

That is the complete customer setup:

• No activation or access key.
• No OpenAI API key or .env file.
• No virtual environment, wheel, ZIP, or PATH configuration.
• The repository path is the only required input.
• Results save automatically to ./shipready_results.

What UnvibeCode produces

1. Connected Code Map for LLMs

Large repositories are difficult to understand one file at a time. The interactive code map shows meaningful file, symbol, import, and call connections. Select a file to download a compact package containing that file and its relevant connected code, ready to give to an LLM.

2. Complete Repository Context

Repeatedly rebuilding repository context for every LLM conversation is slow and inconsistent. UnvibeCode creates one normalized ZIP containing ordered code chunks, verified connections, context selections, metadata, and usage instructions for later LLM or API workflows.

complete_repository_context_for_llm.zip
├── manifest.json
├── chunks.jsonl
├── connections.jsonl
├── selections.jsonl
└── README.md

3. Business Workflow Map

A technical file tree does not explain what the software does for customers or the business. UnvibeCode reconstructs related code paths as understandable workflows, showing what starts a workflow, the important decisions and state changes, and the resulting business outcome.

4. Business Risk Findings

Technical scanners can miss failures that emerge across a connected business workflow. UnvibeCode identifies critical business workflow risks in the code and shows the supporting evidence. Each finding explains the trigger, what the code does, the business rule, the downside, affected customers or assets, what to change, and how to verify the correction.

If no candidate passes the evidence threshold, the report clearly records a no-findings outcome for the completed review scope.

The images are illustrative examples. Workflows and findings are generated from the repository being reviewed.

Customer results

For a supported repository, the automatically created results folder contains:

shipready_results/
└── analysis_<timestamp>/
    └── customer_results/
        ├── 01_connected_code_map_for_llm.html
        ├── complete_repository_context_for_llm.zip
        ├── 02_business_workflow_map.html
        └── 03_business_risk_findings.html

The terminal displays continuous progress. When the review completes, the HTML reports open automatically.

Large repositories

Repositories above approximately two million estimated source tokens receive the Connected Code Map and Complete Repository Context. The deeper business workflow and risk review does not run above that threshold.

Initial public observation period

During the initial two-day public observation period, UnvibeCode requires no activation, access key, customer API key, usage charge, or customer quota. Technical request-size and concurrency protections remain in place to keep the service reliable. Usage controls may be introduced in a later package version after actual demand is understood.

Data processing

Repository scanning, graph construction, connected-context preparation, and report rendering run on the customer's computer. Relevant structured code context is sent securely to the hosted UnvibeCode analysis service for the business workflow and risk review. Customers do not provide an OpenAI key.

Review only repositories you are authorized to process.

Requirements

• Python 3.11 or newer.
• Internet access for the hosted business analysis.
• Read access to the repository being reviewed.

Installation troubleshooting Error: No module named unvibecode

This normally means that UnvibeCode was installed into a different Python environment from the one used to run it.

On Windows, reinstall through the same Python command:

python -m pip install --upgrade --force-reinstall unvibecode python -m unvibecode --help

Then run the review again:

python -m unvibecode review --repository "D:\upstox"

On macOS or Linux:

python3 -m pip install --upgrade --force-reinstall unvibecode python3 -m unvibecode --help