Comparison · ArchStage vs Lovable

You keep the code.
Not a hosted URL.

Lovable turns a prompt into a prototype you can share by link. ArchStage turns a sentence into a scaffolded codebase on your machine — with a full sprint pipeline, version-controllable files, and zero hosting lock-in.

Capability ArchStage Lovable
Where your code livesYour local folderLovable's cloud
Offline capableYes — desktop appNo — browser-based
Version controlAny git workflowBuilt-in, per-project
Stack choiceReact, Tailwind, Kotlin, Material, vanilla HTMLReact + Tailwind only
Sprint / phase historyPersistent per projectChat-style edit log
Pricing modelOne-time €38 (launch) / €59Monthly subscription
AI creditsPay Anthropic directlyBundled + rate-limited
Data privacyLocal-first, no telemetryCloud-hosted projects
Deploy anywhereAny host, any platformLovable hosting preferred
01 · Ownership

Real files, your folder.

ArchStage writes source code to a path you choose. Open it in any editor, push it to GitHub, fork it, archive it, forget about ArchStage — the code stays yours. Lovable projects live inside Lovable; exporting is possible but not the default path.

02 · Workflow

Spec-driven, not chat-driven.

Each ArchStage project generates a tech spec, an implementation plan, and phase files before any code is written. You can inspect or edit them. Lovable operates more like a continuous chat — great for iteration, harder to audit.

03 · Beyond the web

Mobile & desktop too.

ArchStage ships Kotlin + Material for Android, plus vanilla HTML and desktop tool scaffolds. Lovable focuses on React web apps. If your roadmap includes a mobile app, ArchStage covers that in the same tool.

04 · Pricing

One price, not a subscription.

ArchStage is a one-time purchase for the desktop app. Claude usage is billed by Anthropic directly — no middleman markup, no per-seat tax. Lovable uses recurring monthly pricing with credit limits.

Pick ArchStage if you want the code.

Lovable is excellent for a sharable prototype in the browser. ArchStage is the better fit when the prototype is a starting point, not the product — when you plan to keep iterating, push it to production, and own the files.

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