Articles, tutorials, and deep dives into software engineering
An introduction to how Java handles garbage collection.
Are you taking in text input from your frontend? Then congratulations! You may be vulnerable to Cross-Site Scripting.
Git has only three core data structures behind the scenes. Once you understand them, everything else (branches, tags, the staging area) just clicks into place.
Every developer learns that 0.1 + 0.2 doesn't equal 0.3, but why? Dive under the hood of IEEE 754 to understand how floating point numbers are represented, why rounding errors happen, and the critical concept of Unit of Last Precision.
We're all feeling the pressure of higher and higher token costs. So can we use local models to avoid some of those costs?
Are you switching AI models mid-conversation? You might be throwing money out the window. The KV cache is a crucial optimization in Large Language Models that saves the context of your conversation. Discover how it works, why it eats up so much memory, and how it keeps inference fast and affordable.
Mixture of Experts (MoE) has emerged as a leading architecture for training large language models more efficiently. Instead of activating the entire model for every token, MoE uses a gating mechanism to route inputs to specialized sub-networks, or 'experts'. This allows models to scale to trillions of parameters while keeping inference costs manageable.
Prompt injection is one of the most pressing security concerns for Large Language Models, and recent research has shown that it's incredibly difficult to solve.
Dive into the mechanics of IPv4 exhaustion and what it means for the future of the internet.
Dive into the mechanics of SAML authentication, understanding the roles of IdPs, SPs, and the flows that make Single Sign-On (SSO) possible.
An overview of the Model Context Protocol (MCP), why it's needed, and how it safely connects AI agents to external systems.
How Docker image layers work and how to best use Docker layer caching to speed up your builds.
How to best use AI in your day-to-day software engineering tasks.
Prompt engineering was supposed to be the next big thing in AI. What happened?
Diving into the recent supply chain attacks and what we can do to protect ourselves.
Answering how time-based one-time passwords are generated
How to find out what your database is actually doing when you run a query.
An exploration of what tokens are and what it means for your wallet.
A deep dive into why Large Language Models can produce different answers even with the same input.
How cache locality can help speed up (or slow down) your programs.
An exploration of how modern AI agents bridge the gap from text generation to performing real world tasks.