massCode

What is massCode?

massCode is a free, open-source developer workspace that keeps code snippets, Markdown notes, HTTP requests, drawings, and calculations in one desktop app. Everything stays on your machine as plain files that work offline. A built-in AI assistant connects to your chosen model to edit code, organize notes, and run API checks.

Top Features:

• Snippet library: store code in folders with tags, fragments, and syntax highlighting.
• HTTP client: run requests in sequence, pass values between steps, and inspect results.
• AI assistant: connect a cloud or local model to edit snippets and notes.

Use Cases:

• Reusable code: keep tested functions and config blocks a few keystrokes away.
• API testing: build request collections with assertions and trace where a flow fails.
• Technical notes: link docs to the snippets and requests they explain in a graph.

Who Can Use massCode?

• Software developers: gather snippets, notes, and API calls instead of juggling separate apps.
• Privacy-minded teams: keep code and notes local, synced only through tools you choose.
• API engineers: test endpoints and debug failed checks without a separate HTTP tool.

Pricing

• Desktop app (free): the full workspace for macOS, Windows, and Linux under AGPL v3.
• AI assistant (own API key): cloud model usage is billed directly by your chosen provider.
• Local models (free): run the assistant through Ollama or LM Studio for free.

Pros and Cons

Pros:

• Local-first storage: files stay as Markdown on disk, readable outside the app.
• No cost: every feature is free, with optional sponsorship to support development.
• Flexible sync: use iCloud, Dropbox, Syncthing, or Git to move work between devices.

Cons:

• No team sharing: collaboration depends entirely on your own folder sync or Git setup.
• Bring your own key: cloud AI features need a paid account with a provider.
• Desktop only: there is no web or mobile version for access on the go.

FAQs:

1) Is it really free?

Yes, it is free and open source, funded by sponsors and donations.

2) Where is my data stored?

Everything is saved as Markdown files in a local folder you control.

3) Which AI models can I connect?

Major cloud providers with your own key, or local models through Ollama.

4) Can AI agents read my snippets?

Yes, through MCP, external AI clients can search snippets and run requests.

5) Which platforms are supported?

It runs on macOS, Windows, and Linux, with Homebrew install on Mac.