Articles
In-depth technical articles that go beyond our YouTube videos — fresh research, benchmarks, and production insights.
Amazon Bedrock Pricing Deep Dive — Real Costs at 1M, 10M, and 100M Tokens
Real Bedrock costs at scale: Sonnet vs Nova, the OpenSearch trap, and three discounts that cut bills in half. Numbers the marketing page hides.
Self-Hosting LLMs in 2026 — When It Makes Sense and When It Doesn't
The break-even is 500M tokens a day. Below that, APIs win. Here's the actual math, the hidden costs, and the four conditions that justify your own GPUs in 2026.
Vibe Coding in 2026 — What It Actually Means for Engineering Teams
The term Karpathy coined is already obsolete. Here's what vibe coding does to engineering teams in 2026 — adoption, productivity, security, the playbook.
Amazon Bedrock AgentCore: From Idea to AI Agent in Minutes
AgentCore is AWS's modular agent platform — Runtime, Memory, Gateway, Identity, and Observability you can adopt one piece at a time. Here is what it actually does.
Amazon Bedrock vs Google Vertex AI vs Azure AI — The Real Architecture Difference
The architectural choices behind the three big enterprise AI platforms — and the trade-offs every team hits in production.
MCP: The Complete Developer Guide to Model Context Protocol
How Model Context Protocol actually works under the hood — primitives, transports, security, and the production patterns nobody warns you about.
Vector Databases at Scale: pgvector vs Pinecone vs Qdrant
The real trade-offs between pgvector, Pinecone, and Qdrant — benchmarks, cost at 1M/10M/100M vectors, and the scaling walls that hit at 3 AM.
GPT-5.5 vs DeepSeek V4: The Real Cost Gap Nobody Talks About
A 10 QPS RAG system costs $15K/month on OpenAI. The same workload on self-hosted DeepSeek V4 runs at $2,500. Here is what actually changes.
Multi-Agent AI: How Teams of Agents Replace Single Models
Why single-agent AI fails at complex tasks and how production multi-agent systems work — orchestrators, specialized agents, tools, shared memory, and routing.
LLM Inference: How to Cut Your GPU Bill from $60K to $6K
Five production techniques that reduce LLM serving costs by 90% — continuous batching, KV cache management, quantization, model parallelism, and intelligent routing.
Building Efficient RAG Pipelines with Vector Databases
The five stages of a production RAG pipeline — and the chunking, embedding, and retrieval mistakes that silently kill accuracy.