Context Engineering in Manus
R
rlancemartin.github.io 8
High resonance Write Soon
This article strongly resonates and has clear angles for your perspective
Quick Take
This is exactly the kind of deep technical breakdown Brian would want to write about - practical AI engineering patterns from a real production system. The context engineering strategies here are immediately applicable to his fintech work (webhook processing, analytics) and side projects, plus there's a clear contrarian angle about multi-agent architecture being about context isolation rather than role division.
Relevant Domains
AI/agents/future of software work - Primary focus Engineering craft/architecture/productivity - Context management patterns, system design Side projects/automation/earning from skills - Applicable to his Chrome extensions and automation tools
Blog Angles
1
"Context Engineering Patterns I Wish I Knew Before Building AI Features"
Thesis
Your Hook
2
"Why Your AI Agent Architecture is Backwards (And How to Fix It)"
Thesis
Your Hook
3
"The Filesystem is Your AI's Best Friend: Context Offloading in Practice"
Thesis
Your Hook
4
"Building AI Tools That Don't Break When Models Get Better"
Thesis
Your Hook
Key Quotes
Context engineering is the delicate art and science of filling the context window with just the right information for the next step
Simple, unopinionated designs often adapt better to model improvements
Tags
#ai-agents
#context-engineering
#system-architecture
#ai-cost-optimization
#production-ai
#developer-productivity
#bitter-lesson