The 10x Blog
Deep dives into AI Engineering, LLM orchestration, and the future of software development.
Building AI Apps: Data, Observability & Deployment (December 2025)
RAG pipelines, vector databases, MCP integrations, observability, and deployment—the complete guide to shipping AI features in production.
The JavaScript AI Tech Stack: SDKs & Frameworks (December 2025)
From raw SDKs to full frameworks—here's everything you need to know about building AI features in JavaScript, with clear recommendations for each approach.
How to Choose the Right AI Model for Your Project (December 2025)
GPT-5, Claude Sonnet 4.5, or Gemini 3 Pro? Stop guessing. Here's a practical decision framework based on what actually matters: your use case, quality requirements, and constraints.
AI Costs Explained: How Much Does It Really Cost to Run AI Features? (December 2025)
Stop guessing at AI costs. Here's exactly what you'll pay for GPT-5, Claude, and Gemini—with real calculations for chatbots, coding tools, and document processing at every scale.
Your First AI API Call: A Complete Guide for JavaScript Developers
Stop reading about AI and start building with it. This step-by-step guide takes you from zero to a working AI feature in 15 minutes.
5 AI Myths That JavaScript Developers Believe (And Why They're Wrong)
Think you need Python, a PhD, or expensive GPUs to work with AI? Think again. Let's debunk the myths keeping JavaScript developers on the sidelines.
The Difference Between AI Integration and AI Development
When you say you want to 'work in AI,' what do you actually mean? Understanding the difference between these two paths will save you months of studying the wrong thing.
When Should You Use AI in Your Application? (Decision Framework)
Just because you can add AI doesn't mean you should. Learn when AI is the right tool and when traditional code is better—with a practical decision framework for developers.
Tokens, Embeddings, and Context Windows: The LLM Glossary for Web Developers
Stop treating AI like a black box. Learn the three most important concepts in AI engineering—Tokens, Embeddings, and Context Windows—explained for JavaScript developers.
How Large Language Models Actually Work (Without the Math)
Demystifying the magic behind GPT-4 and Claude using simple analogies. Learn how LLMs predict the next word, understand context, and generate human-like text.
AI, ML, and LLMs Explained for JavaScript Developers
Understand Artificial Intelligence, Machine Learning, and Large Language Models using concepts you already know as a web developer.
How to Transition to AI Engineering: A Roadmap for Developers
A step-by-step guide for JavaScript/TypeScript developers to become AI Integration Engineers. Master the fundamentals, build RAG systems, and learn production evaluation.
Who is an AI Integration Engineer? (And Why Every Company Needs One in 2025)
The rise of LLMs has created massive demand for a new type of developer: engineers who can bridge AI capabilities with real products. Learn what this role entails, why it's exploding, and how you can transition into it.