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BlackBadger

Black Badger

Build real software with Lovable, limits and all

166 guides on what you can actually ship with Lovable and AI tools, when it is the right call, and when it is not. Written by the team that builds production systems this way, so nothing here pretends the ceilings are not there.

Latest

  • Lovable Comparisons

    When to Migrate Away From Lovable

    Leaving Lovable makes sense for a narrow set of reasons, and scale isn't one of them. Here's what the exit path actually looks like now, and the fixes worth trying first.

    / 10 min read

  • Lovable Comparisons

    Lovable vs Monday.com for Internal Tools

    Lovable builds custom internal apps. Monday.com organises work that already exists. Here's how the two really compare on cost, limits and team size.

    / 10 min read

  • Lovable Errors and Troubleshooting

    The Biggest Limitations of Lovable Today

    Lovable is fast for prototyping, but its generated code needs review, credit costs are hard to predict, and it leaves out tests, staging and security checks. Those gaps decide whether an app is production ready, and they can be fixed.

    / 5 min read

  • Lovable Use Cases

    Real-World Lovable Use Cases That Actually Work

    The Lovable builds that survive real users are boring in the best way. Client portals, internal tools, directories and quote calculators, plus what the platform still can't do.

    / 10 min read

  • Lovable Pricing and Costs

    Does Lovable Pricing Make Sense for Agencies?

    Lovable sells credits, not seats, and everyone in your workspace shares one pool. Here is how the pricing actually works for agency projects, and where it falls down.

    / 11 min read

  • Lovable Scaling and Architecture

    Scaling Lovable Apps Beyond MVP Stage

    Lovable added database health checks, query analysis, compute resizing, backups and automatic security scans in 2026. Here's how to scale past MVP without a panicked rebuild.

    / 11 min read

  • Lovable How-To Guides

    How to Design Reliable Workflows in Lovable

    Reliable Lovable builds come from process, not clever prompts. Here's how knowledge files, Drafts, follow-ups and automatic rule tests fit together, and where they still fall short.

    / 11 min read

  • Lovable Use Cases

    Is Lovable Good for Long-Term Products?

    Lovable added monitoring, security scans, database migrations, and two way code sync. Here's an honest look at whether it can carry a product for years, and where it still falls short.

    / 10 min read

  • Lovable Capabilities

    Can Lovable Support Complex Business Logic?

    Lovable handles conditional rules, permissions, pricing tiers and payment flows well. Here's where business logic gets too complex for AI generation, and what the 2026 updates changed.

    / 11 min read

  • Lovable Errors and Troubleshooting

    Why Lovable Apps Sometimes Lose Context

    Lovable forgets decisions in long chats, and the symptoms look like confident nonsense rather than errors. Here's why it happens and the 2026 features that help.

    / 10 min read

  • Lovable Errors and Troubleshooting

    Debugging Logic Errors in Lovable Apps

    Debugging AI-generated code in Lovable requires a systematic approach beyond trial-and-error fixes, using the 4x4 Framework and hybrid strategies that combine native features with external analysis tools. The black box nature of AI code makes comprehensive data gathering and strategic error handling essential for maintaining app stability.

    / 5 min read

  • Lovable Scaling and Architecture

    How Lovable Handles Performance at Scale

    Lovable apps run on Supabase and standard hosting, so there is no fixed user count or load time ceiling. Performance depends on query design, indexes, front end weight and operations, and each of those can be fixed.

    / 7 min read

All 166 guides