Blog
AI engineering insights, practical advice, and things I'm learning.
Prompt Engineering
Why Prompting Isn't About Magic Words
Prompt cheat sheets and frameworks miss the point. The skill behind good prompting is clear thinking, not secret syntax.
Prompting · Ai · Critical Thinking
Ai Coding
How to Use AI for Code Review
AI catches patterns, style issues, and common bugs fast. It misses business logic and architecture problems. Here's the practical workflow for using AI code review effectively.
Code Review · Ai Coding · Developer Tools
Ai Coding
Stop Over-Planning, Start Building: How AI Changed the Cost of Being Wrong
AI collapsed the cost of building software. That changes how you should think about planning, prototyping, and experimentation.
Ai · Productivity · Prototyping
Career
AI Didn't Make Expertise Optional. It Made It More Valuable
The narrative that AI replaces the need for deep skills is backwards. AI amplifies what you already have. If that's depth, you win. If it's not, you're just building problems faster.
Ai · Career · Expertise
Ai Engineering
How to Choose a Vector Database in 2026
Pinecone, Weaviate, Qdrant, pgvector, or Chroma? Here's how to pick the right vector database for your AI application based on scale, infrastructure, and actual needs.
Vector Database · Embeddings · Rag
Career
Your Experience Is Your Biggest AI Advantage
When AI output looks professional by default, spotting what's actually right becomes the scarce skill. That skill comes from experience.
Career · Ai · Experience
Ai Engineering
GPT vs Claude vs Gemini: Which AI Model Should You Use?
A practical comparison of GPT, Claude, and Gemini. Their real strengths, pricing, context windows, and which model fits which task in 2026.
Gpt · Claude · Gemini
Ai Engineering
AI Agent Frameworks Compared: LangChain vs CrewAI vs LlamaIndex
A practical comparison of the top AI agent frameworks in 2026. When to use LangChain, CrewAI, or LlamaIndex, their strengths, tradeoffs, and what actually works in production.
Langchain · Crewai · Llamaindex
Ai Coding
Best AI Coding Assistants Compared (2026): Cursor vs Copilot vs Windsurf
A practical comparison of Cursor, GitHub Copilot, and Windsurf. Features, pricing, strengths, weaknesses, and which one fits your workflow in 2026.
Coding Assistants · Cursor · Copilot
Career
Why Most AI Advice Is Terrible
Most AI advice falls into hype or fear. Neither helps. What actually matters: understanding the mechanics, building real skills, and thinking for yourself.
Ai · Career · Critical Thinking
Ai Engineering
How to Build a RAG Application (Step by Step)
A practical walkthrough of building a RAG pipeline from scratch: chunking documents, generating embeddings, storing vectors, retrieving context, and generating grounded answers.
Rag · Retrieval Augmented Generation · Embeddings
Ai Engineering
How to Run LLMs Locally on Your Machine
Running AI models locally gives you privacy, speed, and zero API costs. Here's what hardware you need, which tools to use, and how to choose the right model.
Local Llms · Ollama · Llama
Ai Engineering
Structured Output from LLMs: JSON Mode Explained
LLMs generate text, but applications need structured data. Here's how JSON mode, function calling, and schema enforcement turn free-form AI output into reliable, typed data.
Structured Output · Json Mode · Function Calling
Ai Coding
The AI Coding Workflow That Actually Works
The practical coding workflow with AI: what to hand the model, what to review line by line, and when to throw the output away.
Ai Coding · Developer Tools · Workflow
Ai Engineering
Fine-Tuning vs RAG: When to Use Each Approach
RAG changes what the model knows. Fine-tuning changes how it behaves. Here's when to use each approach, their real tradeoffs, and why the answer is usually both.
Fine Tuning · Rag · Llm
Ai Agents
What Are AI Agents and How Do They Work?
AI agents can plan, use tools, and take action autonomously. Here's what they are, how they work under the hood, and what separates useful agents from overhyped demos.
Ai Agents · Llms · Automation
Ai Engineering
What Is the Model Context Protocol (MCP)?
MCP standardizes how AI models connect to tools and data. Here's what the Model Context Protocol is, how it works, and why it matters for developers building AI applications.
Mcp · Model Context Protocol · Ai Agents
Ai Engineering
What Is RAG? Retrieval-Augmented Generation Explained
RAG lets AI models pull in real data before generating a response. Here's how retrieval-augmented generation works, why it matters, and where it breaks down.
Rag · Retrieval Augmented Generation · Llms
Ai Coding
What Is Vibe Coding? The Developer's Guide
Vibe coding means describing what you want in natural language and letting AI write the code. Here's what it actually looks like, where it works, where it fails, and how to do it well.
Vibe Coding · Ai Coding · Developer Tools
Ai Engineering
What Are Embeddings in AI? A Technical Explanation
Embeddings turn text into numbers that capture meaning. Here's how they work, why they matter for search and RAG, and how to choose the right model for your use case.
Embeddings · Vector Search · Ai Architecture