The Architecture of Modern LLMs: From Attention to Agents
A deep dive into how large language models work under the hood — transformer architecture, attention mechanisms, and the emerging shift toward agentic systems.
A deep dive into how large language models work under the hood — transformer architecture, attention mechanisms, and the emerging shift toward agentic systems.
Kubernetes was never meant to be the thing you deploy your app on. It is the thing you build the thing you deploy your app on. That distinction matters.
Every schema change is a risk. Here is the battle-tested playbook for migrating production databases without taking your application offline.
TypeScript is not just JavaScript with types. It is a design tool that encodes business rules, prevents impossible states, and documents intent — if you use it right.
Most code reviews catch typos and style issues. They miss the bugs that matter. Here is how to restructure reviews around what actually improves code quality.
The industry overcorrected. Microservices solve real problems at scale, but most teams are not at that scale — and the complexity tax is killing their velocity.
You cannot improve what you cannot measure. Here is how to build automated evaluation pipelines that catch regressions before your users do.
When should you fine-tune a model versus engineering better prompts? A practical framework based on cost, latency, accuracy, and maintenance burden.
Retrieval-augmented generation promised to fix hallucinations. It helps, but the harder problems — reasoning, multi-step logic, conflicting sources — need something more.