Product updates, tutorials and stories from the team building the infrastructure that lets AI agents ship real apps.
Every 'best AI app builder' list ranks the same names against each other without asking the question that actually matters: where does the AI operate from, and does it own the backend?
Most AI app builders start from a text prompt, at best a Figma import. DYPAI also starts from the documents you already have — a spec, a pricing sheet, a data export.
Both now ship an MCP server. The real differences are the data model your agent has to reason about, and who owns the infrastructure underneath.
Base44 hides the backend completely. Replit Agent hands you all the code and none of the infrastructure. Here's the real tradeoff, and why DYPAI doesn't force you to pick a side.
2,000+ vulnerabilities across 5,600 audited AI-generated apps, 400+ exposed secrets, misconfigured row-level security in a fifth of one platform's production apps. Here's what's actually going wrong, and what closes the gap.
Supabase added an MCP server. InsForge built agent-as-operator from day one. Here's what actually changes for your agent — and where DYPAI fits as the full-stack option.
MCP lets your coding agent operate a real database, auth, and storage — not just generate frontend code. Here's how the connection actually works.
All four get called AI app builders. The real difference isn't the AI — it's where it operates from, and how much of your stack it actually owns.
Prompt-to-app tools, no-code platforms, and agent-native infrastructure all get called 'AI app builders' — they're not the same thing. Here's how to tell them apart.
Four real apps you can deploy in one click — gym, clinic, invoicing, contact landing. No starting from a blank schema.
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