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What is Labs?

These features are experimental, so they might be modified or be removed at any time.

Labs is accessible under your Settings > Accounts Settings tab.

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Chat Mode

Lovable’s Chat Mode is an experimental feature designed to enhance your workflow by allowing you to interact with Lovable through chat without directly editing your project. It was launched a couple weeks ago and have gotten very good feedback from early testers. We have now started to extend its capabilities and its starting to feel like talking to a seasoned CTO who knows your projects and goals inside and out.

Because these capabilities come with additional costs, messages in Chat Mode will now start counting towards your message limit.

  • Debug efficiently by explaining errors, offering step-by-step breakdowns, and resolving issues when Lovable got stuck in loops.

  • Optimize feature implementation by identifying the minimal necessary changes required for new functionality.

  • Architect systems efficiently, planning database structures, relationships, and scalability strategies.

  • Streamline development by collecting and refining feature ideas before implementation. Manage product decisions, such as debating whether to fork a product or consolidate functions.

  • Enhance documentation and knowledge storage, keeping development organized and reducing redundant prompts.

  • Debug Lovable itself, such as redeploying edge functions when Supabase connections were lost.

  • Guide non-specialists by serving as an AI tutor for troubleshooting, from password resets to API integrations.

  • Generate and refine prompts, improving development workflows through clearer instructions.

  • Assist in decision-making, helping analyze multiple solutions before executing changes.

  • Facilitate product management, structuring features, onboarding flows, and pricing models.

  • Support collaboration, acting as a bridge between developers and non-technical founders.

  • Reduce trial-and-error, preventing mistakes before they happen and saving hours of work.

  • Improve AI-generated code quality, refining generated code for better maintainability, performance, and adherence to best practices.

  • Provide real-time feedback on coding patterns, offering suggestions to improve readability, efficiency, and adherence to best practices.

More information here.

Prompt EngineeringPrecise Edits