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Developer Tutorials & Hands-on Setup Guides
Production-ready code walkthroughs, CLI setup guides, and local LLM deployment instructions.
How to Build an AI Agent from Scratch
Complete developer tutorial on building autonomous AI agents with Python, ReAct loops, MCP tools, and memory subsystems.
Read Tutorial →Self-Hosting DeepSeek-R1 & V3
Step-by-step guide to hosting DeepSeek-R1 locally or on cloud GPUs using vLLM and SGLang.
Read Tutorial →Model Context Protocol (MCP) Setup Guide
Learn how to build and connect custom MCP servers to Claude Code and Cursor.
Read Tutorial →Prompt Caching Implementation Guide
How to structure System Prompts to slash API token input costs by up to 90%.
Read Tutorial →Local LLM Serving for Developers
Compare Ollama, LM Studio, and Jan.ai for local code completion setups.
Read Tutorial →Guaranteed JSON & Structured Outputs
Enforcing strict JSON schemas across OpenAI, Claude, and DeepSeek APIs.
Read Tutorial →AI Subscription & Usage Refresh Cycles Guide
Understand rolling 5-hour windows, monthly seats, and rate limits across Claude Pro, ChatGPT Plus, Cursor, and Copilot.
Read Tutorial →Context Pruning & Prompt Compression
How to use Microsoft LLMLingua to compress large prompts by up to 20x for faster, cheaper inference.
Read Tutorial →Agentic Testing & Code Verification
Using autonomous coding agent loops to dynamically write, run, and self-correct unit tests.
Read Tutorial →vLLM OpenAI-Compatible Server Setup
Host local open-weights LLMs supporting the standard OpenAI API protocol for drop-in replacement.
Read Tutorial →Coding Agents in GitHub Actions CI/CD
Integrate autonomous coding agent loops into pull request events for automatic bug fixing and reviews.
Read Tutorial →