Capacity
PagoSobre Capacity
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Como avaliar Capacity antes de adotar
Compare esta ferramenta com outras da mesma categoria, valide integração com seu fluxo e confirme custos para o seu volume de uso. Em Programação & Desenvolvimento, normalmente vale testar duas opções em paralelo.
Recursos
- Spec Coding methodology: Structured, specification‑first flow (brief, UX, design) so AI generates code that follows clearly defined requirements instead of guessing from vague prompts.
- AI Cofounder workspace: An AI “cofounder” that helps brainstorm ideas, refine concepts, and translate them into scoped features and coding tasks, keeping product vision and implementation aligned.
- True agentic coding: Project‑aware AI agents that understand the codebase, support multi‑file refactors with dependency tracking, and automatically fix many errors and bugs across files.
- Full‑stack generation: Builds database‑backed apps with auth, storage, and real‑time updates on top of Supabase, along with frontend and backend code in a production‑ready stack.
- Credit‑based workflow: Every interaction with the AI uses credits based on task complexity, which lets users scale usage from quick tests to large projects without changing tools.
- Code export and hosting: Users can export the entire codebase, connect GitHub, and still rely on Capacity’s managed hosting when they do not want to run infrastructure themselves.
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