Lyzo

What is Lyzo?

Lyzo is a standalone desktop IDE built around AI. It indexes your whole project, remembers your architecture and naming habits, and runs agents that write, review, test, and refactor code. A built-in DevOps layer handles CI/CD pipelines, Docker, and deployments, so you rarely need to leave the main editor window.

Top Features:

• Persistent memory: remembers architecture decisions, naming conventions, and coding style across sessions.
• Engineering agents: agents write, review, test, and refactor code across multi-step tasks.
• Built-in DevOps: set up CI/CD pipelines, Docker, and deployments from the editor.

Use Cases:

• Legacy cleanup: refactor an older codebase while the agent tracks past decisions.
• Feature delivery: describe a feature and let agents write, test, and ship it.
• Quick prototypes: turn a startup idea into a deployed prototype within hours.

Who Can Use Lyzo?

• Solo developers: handle boilerplate, debugging, and deployment without hiring a bigger team.
• Engineering teams: keep code patterns consistent and onboard new engineers much faster.
• Startup founders: test product ideas quickly while keeping technical debt under control.

Pricing

• Free Trial (free): one day of limited access to try the core features.
• Pro+ ($34 per month): 550 requests per day, Claude Sonnet 4.6, and priority support.
• Ultra ($59 per month): unlimited requests plus code review, unit tests, and project visualization.

Pros and Cons

Pros:

• Deep project context: the IDE reads your full codebase, so you rarely repeat yourself.
• All in one: editor, terminal, AI chat, and deployment tools share one app.
• Built-in skills: more than 40 skills cover areas like SEO, design, and sales.

Cons:

• Short trial: the free trial lasts one day before a paid plan is needed.
• New editor: teams must leave familiar editors like VS Code to use it.
• Public beta: the product is still in beta, so features may change.

FAQs:

1) Is Lyzo a VS Code extension?

No, it is a standalone desktop IDE you install like any other app.

2) Which languages does it support?

It supports over 40 languages, including JavaScript, Python, Go, Rust, and Swift.

3) Which AI model powers it?

Sessions currently run on Claude Sonnet 4.6, according to the company.

4) Is my code sent to the cloud?

Only the context each task needs is sent, encrypted, and never used for training.

5) Which systems does it run on?

It runs on Windows and macOS as a downloadable desktop app.