Author

Mert Batur

Co-Founder, Techsy.io

Articles by Mert Batur

236 articles

  1. Model Context Protocol: Build Your First MCP Server Today

    ยท 22 read

    A hands-on developer guide to the Model Context Protocol (MCP) -- from architecture and core primitives to building your first server in Python and TypeScript. Covers the 2026 spec, Streamable HTTP, security with OAuth 2.1, and the full ecosystem.

  2. Lovable vs Bolt.new vs v0: What Your Code Looks Like After

    ยท 18 read

    We tested Lovable, Bolt.new, and v0 with the same prompt and compared the generated code, real-world costs, and security posture. Here is what each tool actually produces -- and when the AI stops being enough.

  3. Reliable JSON from Any LLM: Pydantic + Zod Patterns for 2026

    ยท 20 read

    Structured output went from experimental to production standard. This guide covers constrained decoding, multi-provider implementation (OpenAI, Anthropic, Gemini), Pydantic and Zod patterns, and the libraries that make it all work.

  4. LLM Function Calling: The Complete Multi-Provider Guide [2026]

    ยท 22 read

    Implement function calling across OpenAI, Anthropic, and Google Gemini with the same get_weather tool. Side-by-side code, parallel calling patterns, error handling, security best practices, and a decision framework for function calling vs structured outputs vs MCP.

  5. LLM Evaluation: Metrics, Frameworks, and What Actually Works in 2026

    ยท 20 read

    Most teams shipping LLM features have no systematic way to know if their outputs are good. This guide covers the metrics, methods, frameworks, and pipeline design you need to go from vibes-based evaluation to automated confidence -- plus EU AI Act compliance before the August 2026 deadline.

  6. LangGraph vs CrewAI vs OpenAI Agents 2026: Ship Speed Test

    ยท 18 read

    LangGraph gives you full graph control, CrewAI lets you assemble role-based teams in minutes, and OpenAI's Agents SDK strips everything to four primitives. Here's how they compare for real production agent systems.