Context Engineering on Bruce on AI Engineering

Context Engineering: The Most Underrated AI Development Skill in 2026

Tue, 10 Mar 2026 10:00:00 +0800

Everyone talks about prompt engineering. Courses sell for hundreds of dollars teaching you to write better prompts. But in 2026, the developers building the most impressive AI-powered systems are not spending their time crafting clever prompts — they are engineering context.

This is the skill that separates someone who occasionally gets good results from ChatGPT from someone who builds reliable, production-grade AI workflows that work consistently across thousands of interactions.

Context Engineering: The Most Underrated Core Skill in AI Programming (Stanford CS146S Deep Dive)

Tue, 24 Feb 2026 07:30:00 +0800

This is Part 2 of the “Stanford Vibe Coding Course Deep Dive” series. See the series navigation at the end of this article.

If I had to pick just one week from the entire 10-week CS146S curriculum for a deep dive, I would choose Week 3 without hesitation.

Not because it is the flashiest – that would be Week 8’s “build an app with one sentence.” Not because it is the most hardcore – that would be Week 6’s security deep dive. It is because what Week 3 covers directly determines the ceiling of your AI programming capability.

AI Agent Memory Systems: RAG vs Context Engineering

Sat, 21 Feb 2026 10:00:00 +0800

Every AI coding agent has a fundamental problem: amnesia. Start a new session with Claude Code, Cursor, or any LLM-powered tool, and it has zero memory of yesterday’s work. The architecture decisions you spent two hours discussing, the bug you finally tracked down, the coding conventions you carefully established — all gone.

This is not a bug. It is how large language models work. Each session starts with a blank context window, and when that window fills up or the session ends, everything evaporates.