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As AI coding agents become autonomous, the real skill is not writing code—it is engineering the context that makes AI agents effective. A deep dive into the evolving craft of software development.
Every few years the tech industry realizes point-to-point custom wiring is a terrible way to build anything. Model Context Protocol is that moment for AI agents.
The gap between top engineers and the median has always been wide — but AI is making it seismic. While the industry debates AI agents and reasoning models, a quieter revolution is reshaping what it means to be a valuable engineer. Implementation is getting cheaper by the day. Judgment is getting more expensive. Here's what that means for hiring, team structure, and the future of software engineering.
Why do AI systems work brilliantly in demos but fail in production? The answer is almost never the model — it's the context. Context Engineering is the emerging discipline of designing, structuring, and optimizing the information pipeline that feeds an AI model. This article explores the four layers of Context Engineering and why it matters more than prompt engineering.
Current AI agent frameworks conflate memory, state, and context into a single mechanism — the context window. This architectural limitation causes agents to degrade in coherence over long conversations. Here's what the industry is finally doing about it.
The AI agent boom is real, but the gap between demos and real-world performance is wider than the hype suggests. Microsoft's CORPGEN paper reveals four specific failure modes that emerge under real multitasking conditions — and a memory architecture that fixes them.
As frontier AI labs gate their most powerful models behind exclusive partnerships, a two-tier AI economy is taking shape. This piece examines Project Glasswing, Claude Mythos, and the structural forces driving the open-to-restricted shift — and what it means for builders who assumed the best AI would always be a public API call away.
The AI arms race has been framed as a battle of model capability, but the more important competition is happening one layer up: who can build the best interface between human intent and machine capability. That interface is context. This article explores why context windows are the new RAM, and what it means for builders.
GitHub just allowed repos to disable Pull Requests for the first time in history. In 21 years, the PR went from invention to industry default to potential extinction. Here's the technical, cultural, and economic story of why AI is about to kill the most fundamental workflow in modern software development — and what comes next.