Lovable vs Stagewise (2026)

Lovable

by Lovable

Stagewise

by stagewise (YC S25)

Pros

• ✓Native Supabase and Lovable Cloud integration generates production-ready backends automatically: database schema, row-level security policies, authentication, and edge functions are provisioned without developer configuration, materially closer to shippable than Bolt.new's in-browser WebContainer execution.
• ✓Per-workspace pricing at $25/month shared across unlimited collaborators: Pro is dramatically cheaper than per-seat tools for small teams where multiple people need simultaneous access, and credits are shared rather than divided, unlike individual-seat subscription models.
• ✓MCP server support, Google connectors, Figma import, Stripe, Shopify, Perplexity, ElevenLabs, Wiz security scanning, and subagents for parallel execution all native: the integration surface is the broadest of any vibe-coding platform and continues expanding monthly.

Limitations

• ⚠Credit-based pricing creates cost unpredictability: Pro's 100 monthly credits and Business's 100 monthly credits exhaust quickly on iterative multi-cycle builds, and teams running Agent Mode on complex projects need to track credit burn carefully or face mid-month interruptions before the billing cycle resets.
• ⚠Platform reliability has had notable incidents: publicly disclosed reliability issues in April and June 2026 indicate that Lovable's rapid growth has at times outpaced infrastructure stability, a consideration for teams deploying customer-facing production applications.
• ⚠Generated code optimized for Lovable's deployment layer: migrating generated applications to AWS, GCP, Vercel, or self-managed infrastructure requires manual rework of Lovable-specific backend configurations, database connections, and deployment settings, limiting exit flexibility for teams with infrastructure requirements.

Pros

• ✓Multi-agent orchestration with parallel execution: run multiple agents simultaneously each implementing full features or fixing bugs in isolated contexts, with an average 87.6% cache hit rate enabling long-running tasks at lower cost than single-agent alternatives.
• ✓Universal model support with BYOK or subscription passthrough: connect OpenAI, Anthropic, Google Gemini, DeepSeek, Qwen, Kimi, and more via your own API keys or existing coding subscriptions, with no vendor lock-in.
• ✓Open-source AGPL-3.0 with live app previews and git workflows: full source auditable on GitHub, app preview rendering shows changes live during agent execution, and git workflow integration handles branching and commits natively.

Limitations

• ⚠macOS-only desktop app limits cross-platform team adoption: Windows and Linux support is not yet available, which is a hard constraint for teams that do not standardize on macOS development machines.
• ⚠No public pricing page: paid plans exist via Stripe but tier details are not publicly listed, requiring direct contact or app sign-up to understand costs before committing to a subscription.
• ⚠AGPL-3.0 license has commercial implications: teams embedding or distributing Stagewise as part of commercial products must comply with AGPL copyleft requirements, which may require legal review before enterprise adoption.