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How to Build an AI Agent from Your Existing REST API — Without an MCP Server

How to Build an AI Agent from Your Existing REST API — Without an MCP Server You already have a REST API. You don't want to rewrite it, run a dedicated protocol server, or learn JSON-RPC just to let…

  • RCP adds a GET /manifest route to describe API endpoints as tools
  • AI agents fetch manifest and call API using stateless HTTP
  • RCP is simpler than MCP but lacks stateful features

Prapatti AI: Restoring Digital Independence for the Disabled with Gemini-Powered Navigation

Modern digital infrastructure is fundamentally broken for millions of people. Despite strict global regulations, 95% to 98% of the world's top websites still fail basic web accessibility standards.

  • Prapatti AI aids disabled individuals with visual, motor, or cognitive impairments.
  • Uses multimodal vision-language models to bypass non-compliant HTML.
  • Operates on local Sense-Reason-Act loop with Google AI Studio and Gemini.

A one-day GenAI workshop syllabus for colleges (hands-on, no fluff)

Colleges ask for GenAI workshops and get slide decks about the history of neural networks. Students should leave a workshop with something running that they built, and a way to tell whether it works.

  • One-day GenAI workshop focuses on hands-on learning for practical project completion
  • Students equipped with laptops, Python knowledge, and code editor for workshop
  • Workshop includes PDF notes, manuals, and rulebook for post-session reference

AI Solutions for Managing Large Codebases: 2026 Guide

Originally published at nlocoding.com 57 million lines. That’s how much code Google maintains across its repositories as of 2026 (GitHub Octoverse, 2026). And no, it doesn’t crash every Friday.

  • Google manages 57 million lines of code, a number set to rise
  • Codebase bloat delays feature delivery by 43% for large teams
  • AI code search reduces discovery time by 68% compared to manual methods

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