Product updates, tutorials and stories from the team building the infrastructure that lets AI agents ship real apps.
Compare Lovable, Bolt, v0, Replit, Base44, InsForge and DYPAI by build workflow, backend services and what you can do after launch.
Lovable Cloud runs on Supabase. DYPAI runs its own backend with visual and source-defined flows, agent tools, integrations and step-by-step execution traces.
Build real backend flows in DYPAI: branch on data, connect payments and messaging, run webhooks or schedules, and debug each step from Studio or your coding agent.
Create an AI agent inside your DYPAI app, give it selected endpoints as tools, and let users ask questions or complete actions with clear access controls.
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.
Compare Base44, Replit Agent and DYPAI on building, backend services, code control and operating a live app with AI.
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.
InsForge vs Supabase for AI agents: compare MCP, Postgres, deployment and workflows. See when DYPAI's flows and your Mate fit.
Set up DYPAI MCP in Cursor or Claude Code, then let your agent manage Postgres, auth, workflows, storage and deployment from your IDE.
Compare v0, Bolt, Lovable and DYPAI on full-stack building, backend workflows and what happens after your app goes live.
What does an AI app builder do? Compare prompt-led tools, coding agents and full-stack platforms by backend, workflow and life after launch.
Four real apps you can deploy in one click — gym, clinic, invoicing, contact landing. No starting from a blank schema.
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