Learn how to reduce hallucinations in LLM outputs using six proven techniques — better prompts, RAG, structured outputs, temperature tuning, and more.
Joyce Echessa
Fullstack Web Developer
I am a full-stack web developer working primarily with JavaScript, particularly the Next.js framework. Occasionally, I also dabble in Python.
Recently, I have been learning AI engineering and experimenting with integrating AI capabilities into web applications.
Latest Posts
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- Learn to build a Python AI agent using the Anthropic SDK, equipping Claude with custom tools to autonomously execute real-world tasks.
- A look at the Model Context Protocol (MCP) — an open-source standard that acts as a universal adapter, securely connecting AI models to your private files, databases, and tools so they can understand your specific context and provide genuinely personalized assistance.
- Let's take a quick look at React state, and see why immutability is the key to predictable UI updates.
- A deep dive into the mechanics of the Node.js event loop, its execution phases, and practical strategies for scaling asynchronous JavaScript applications gracefully.