Can Kilo Code work on my existing project, not just greenfield?

Yes — that is the main difference. Kilo works directly in your existing repository inside VS Code or JetBrains. Lovable is optimized for generating new apps from scratch in its hosted environment.

How does Kilo's pricing compare to Lovable's credits?

Kilo charges per token at exact provider rates with zero markup — no credit system, no monthly cap. Lovable charges $25–$50 for 100 credits. Kilo's pricing is more predictable for heavy usage.

Do I need to export my project to keep coding?

With Kilo you never export — your project lives in your own IDE and git repo from day one. With Lovable, when you outgrow the builder you must export to GitHub and switch tools.

Does Kilo Code support deployment like Lovable?

Yes. Kilo includes one-click deployment to various platforms. You can also deploy to any service you prefer — Vercel, Netlify, AWS, Railway — since your code lives in your own repo.

Can I try Kilo Code without paying?

Yes. Kilo Code is free forever for individual developers. Use BYOK with any provider at zero platform fee, or run local models via Ollama and LM Studio. There is no credit card requirement and no usage quota on BYOK.

Is Kilo Code really open source?

Yes — Apache-2.0. You can inspect every prompt Kilo sends, audit how context is assembled, and fork the project on GitHub. There are no hidden server-side prompt rewrites.

Does Kilo Code support teams and enterprises?

Yes. Kilo Code for Teams adds centralized billing, usage analytics, and role-based access starting at $15 per user per month. Enterprise plans add SSO, SCIM, audit logs, and an SLA.

Kilo Code vs Lovable

Kilo Code is an agent inside your real codebase and IDE — not a hosted no-code app builder.

See Full Comparison

Try Kilo Code Free

Quick Comparison

Pricing

Kilo Code

No usage cap — pay-per-token at provider rates

Lovable

$25–$50 for 100 credits

AI Models

Kilo Code

500++, switch anytime

Lovable

Fixed selection

Works on existing codebases

Kilo Code

Yes — any repo

Lovable

Optimized for greenfield

Continue in IDE

Kilo Code

Native — no export needed

Lovable

Export to GitHub required

Open source

Kilo Code

Lovable

	Kilo Code	Lovable
Pricing	No usage cap — pay-per-token at provider rates	$25–$50 for 100 credits
AI Models	500++, switch anytime	Fixed selection
Works on existing codebases	Yes — any repo	Optimized for greenfield
Continue in IDE	Native — no export needed	Export to GitHub required
Open source

Your real codebase, your real IDE

Kilo edits files in your existing repository in VS Code or JetBrains. Lovable operates inside its own hosted browser environment on generated scaffolds.

500+ models, zero markup

Route every mode — autocomplete, chat, and agents — through whichever model fits the task. Use BYOK with any provider at exact provider rates, or stay fully local with Ollama and LM Studio.

Fully open source (Apache-2.0)

Inspect every prompt, audit context windows, self-host if you want to. Nothing about how Kilo drives the model is hidden — the prompts, the context policy, and the tool layer are all readable in GitHub.

Why developers choose Kilo Code over Lovable

Kilo Code plugs into your real IDE and codebase — Lovable is a hosted AI app builder optimized for greenfield prototyping.

Your real codebase, your real IDE

Kilo edits files in your existing repository in VS Code or JetBrains. Lovable operates inside its own hosted browser environment on generated scaffolds.

500+ models, zero markup

Route every mode — autocomplete, chat, and agents — through whichever model fits the task. Use BYOK with any provider at exact provider rates, or stay fully local with Ollama and LM Studio.

Fully open source (Apache-2.0)

Inspect every prompt, audit context windows, self-host if you want to. Nothing about how Kilo drives the model is hidden — the prompts, the context policy, and the tool layer are all readable in GitHub.

From prototype to production — no export cliff

Build visually in App Builder, then seamlessly continue in your IDE, CLI, or Cloud Agents. Lovable requires exporting to GitHub when you outgrow the builder.

Trusted by developers at the world's most innovative companies

Complete Feature Comparison

An honest look at where Kilo wins, where Lovable wins, and where they're comparable

Platform & Environment

Works in your own IDE

Kilo Code

Lovable

Works on existing codebases

Kilo Code

Lovable

Optimized for greenfield

Browser-based building

Kilo Code

Lovable

Continue in IDE after building

Kilo Code

Lovable

Export to GitHub required

CLI support

Kilo Code

Lovable

AI & Model Flexibility

AI model choice

Kilo Code

500+

Lovable

Fixed selection

BYOK support

Kilo Code

Lovable

Local models

Kilo Code

Lovable

Pricing

Pricing model

Kilo Code

Pay-per-token at cost

Lovable

$25–$50 for 100 credits

Usage cap

Kilo Code

No cap

Lovable

Credit limit

Open source

Kilo Code

Lovable

Deployment & Production

One-click deploy

Kilo Code

Lovable

Live preview

Kilo Code

Lovable

Deploy to any platform

Kilo Code

Lovable

Limited

Long-lived production codebases

Kilo Code

Lovable

Optimized for prototypes

Platform & Environment

Feature	Lovable	Kilo Code
Works in your own IDE
Works on existing codebases	Optimized for greenfield
Browser-based building
Continue in IDE after building	Export to GitHub required
CLI support

AI & Model Flexibility

Feature	Lovable	Kilo Code
AI model choice	Fixed selection	500+
BYOK support
Local models

Pricing

Feature	Lovable	Kilo Code
Pricing model	$25–$50 for 100 credits	Pay-per-token at cost
Usage cap	Credit limit	No cap
Open source

Deployment & Production

Feature	Lovable	Kilo Code
One-click deploy
Live preview
Deploy to any platform	Limited
Long-lived production codebases	Optimized for prototypes

Specialized agent modes Lovable doesn't have

Orchestrator, Architect, Debug, Code, and Ask — each mode purpose-built for a different part of your workflow. Plus 500+ models and inline autocomplete.

Agentic Engineering

Glide through your workflow with a mode for every step

Ask mode

A knowledgeable technical assistant focused on answering questions without changing your codebase

Switch in under 5 minutes

No complicated setup. No vendor lock-in. No risk.

1

Install Kilo Code

Install from VS Code/JetBrains marketplace or use the App Builder in your browser. One click to start.

1 min

2

Open or clone your project

Open your existing repo or clone your Lovable project from GitHub. Kilo works with any codebase.

1 min

3

Start Building

Use the App Builder visually or prompt agents in your IDE — your choice. No export cliff.

Immediate

Install Kilo Code

Common Questions About Switching from Lovable

Everything you need to know about moving to Kilo Code.

Compare Kilo Code with more alternatives

See how Kilo stacks up against every major AI coding assistant.

See all Kilo Code alternatives

Ready to upgrade your AI coding experience?

Keep Lovable running side-by-side if you want to switch at your own pace.

Get Started with Kilo

Book a demo for teams

✓ No credit card required✓ Free forever for individuals✓ 500+ models, zero markup

Kilo Code vs Lovable

Quick Comparison

Your real codebase, your real IDE

500+ models, zero markup

Fully open source (Apache-2.0)

Why developers choose Kilo Code over Lovable

Your real codebase, your real IDE

500+ models, zero markup

Fully open source (Apache-2.0)

From prototype to production — no export cliff

Trusted by developers at the world's most innovative companies

Complete Feature Comparison

Platform & Environment

AI & Model Flexibility

Pricing

Deployment & Production

Platform & Environment

AI & Model Flexibility

Pricing

Deployment & Production

Specialized agent modes Lovable doesn't have

Glide through your workflow with a mode for every step

Ask mode

Switch in under 5 minutes

Install Kilo Code

Open or clone your project

Start Building

Common Questions About Switching from Lovable

Compare Kilo Code with more alternatives

Kilo Code vs Cursor

Kilo Code vs GitHub Copilot

Kilo Code vs Windsurf

Kilo Code vs Claude Code

Ready to upgrade your AI coding experience?