ARAD (AI Agent's Backend Developer)
AI agents → ARAD → live app. No Git. No downtime
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Ravikant Kumar

ARAD (AI Agent's Backend Developer) - AI agents → ARAD → live app. No Git. No downtime

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AI-Native Enterprise Development on Liferay DXP — Without the Token Waste One platform. Structured ecosystem. Deterministic backend generation. 70–90% Token Reduction

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Ravikant Kumar
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Your AI-native development costs are higher than they need to be. Here's why. Every time an AI agent regenerates boilerplate, rewrites a CRUD API, or spirals through a debug loop — you're paying for tokens that should cost nothing. Usual vibe coding burns 10M–100M tokens per project. Most of it on work that's 100% predictable. We added MCP layer in ARAD to fix this. ARAD deterministically generates everything repetitive — APIs, schemas, migrations, admin interfaces, deployment scripts — so AI agents focus only on what requires creativity. ✅ 60–80% fewer tokens consumed ✅ 3–6x faster time to delivery ✅ Zero boilerplate cost ✅ Built on Liferay's enterprise-grade foundation The future of enterprise AI development is metadata-driven, not prompt-driven.