The AI Defender Problem: Your Security Copilot Might Refuse to Investigate the Attack
When attackers have autonomous agents but defenders have restricted assistants, safety controls become part of the battlefield.
Architecture
8 articles in this category.
The AI Industry Has an Efficiency Problem Because It Confused Intelligence With Scale
Scaling created extraordinary AI capability. The next efficiency frontier is architectural: put models, memory, retrieval, tools, routing, and verification where each does the least wasteful work.
Latent Image Recurrence: Why AI Image Generators Keep Producing the Same Picture
When diffusion models keep returning the same composition after prompt edits, they are usually not repeating an image. They are converging toward the same high-probability basin in latent space.
What a Good Engineering Ticket Looks Like
Most teams do not have a ticketing tool problem. They have a clarity problem expressed through tickets. A good ticket is a bounded design contract that makes execution predictable.
RAG Didn’t Solve AI. It Made AI a Systems Engineering Problem.
RAG became the default way to ground LLMs on enterprise data, but that did not solve AI reliability. It exposed a harder reality: retrieval is infrastructure, and the real work is systems design, governance, and evaluation.
Large Context Windows Don’t Make AI Smarter. They Make It Scarcer.
Large context windows feel like intelligence in demos, but in production they behave like memory allocation and throughput scarcity. The bottleneck moves from retrieval logic to hardware capacity and system design.
My Current Stack in 2026: What Stayed, What I Dropped
This is not a tools list. It is the decision philosophy behind a durable stack: what survived hype cycles, what I dropped, and how I evaluate what to keep next.
Scaling WebRTC Applications: From One-to-One to Many-to-Many
Learn how to scale WebRTC applications beyond simple peer-to-peer connections to support multiple participants, large audiences, and enterprise deployments.