Comparison

Lucid Train compared with Cursor.

Cursor is where you write code. This is where you decide what to build before writing it, and both can be true at once.

Download for macOS

v0.1.33 · .dmg · Apple Silicon & Intel

Signed & notarized by Apple · opens without a Gatekeeper warning

sha256 698955a0187bc039f4c74f5d05a9f10fbb27376a45788a0a241d1326b73873c7

Download for Windows instead

$curl -fsSL https://lucidtrain.com/install.sh | sh

What Cursor is better at

Being an editor. Inline completion, multi-file edits with the whole project in context, and the everyday loop of writing and refactoring code are what it is built for and it is very good at them. If you spend your day in a file, Cursor is a better place to spend it than a diagram canvas, and nothing here competes with that.

Where Lucid Train is different

It starts one step earlier. Before code exists, the question is what the components are and how they fit, and that is a design conversation better held on a canvas than in a file. Lucid Train draws the architecture, then converts that diagram into a markdown specification and starts a coding turn with it. The diagram becomes the instruction rather than documentation written afterwards.

Understanding code you did not write

The common case now is inheriting a codebase produced across many agent sessions, where nobody has seen the shape as a whole. Reading files, even with a good editor, is a slow way to build that picture. A generated diagram is faster, and being able to ask questions of it faster still.

Local models and cost

Cursor is a subscription with model usage included, which is convenient and means your code goes to their infrastructure. Lucid Train is $3 a month and you bring your own model: local Ollama at no cost and full offline operation, or your own API key billed by the provider. For organisations that cannot send source code to a third party, that is the deciding difference rather than a preference.

Side by side

	Lucid Train	Cursor
Primary purpose	Design the system, then implement	Write and edit code
Architecture diagrams	Yes, generated	No
Diagram as specification	Yes	No
Inline code completion	No	Yes
Runs fully offline	Yes, with local models	No
Bring your own model	Yes, any OpenAI-compatible endpoint	Limited
Code leaves your machine	No, with a local model	Yes
Price	CLI free; desktop $3/month	Subscription, higher tier

FAQ

Questions

Can I use both?

Yes, and that is the common pattern: design and understand here, write code there. Neither has an opinion about the other.

Does Lucid Train write code?

Yes. It has a coding agent with reviewable diffs and a plan-then-apply flow. The distinguishing part is that a turn can start from a diagram used as the specification.

Which is better for a large existing codebase?

For editing it, Cursor. For understanding it before editing, a generated architecture diagram is a much faster route in than reading files.

Affiliation

Lucid Train is an independent product and is not affiliated with, endorsed by, or connected to the product described on this page. All names and trademarks belong to their respective owners. Pricing and features were checked on 19 August 2026 and change without notice; check the vendor's own site before deciding.

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