Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
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23
Oct 2025
Debug Organizational Velocity, Not Individual Productivity
Most engineering managers obsess over individual productivity. They measure story points, track commit frequency, and o...
22
Oct 2025
A Multi-Agent AI Ecosystem for Self-Improving Software
In the relentless pursuit of robust and secure software, developers have long relied on a combination of automated test...
22
Oct 2025
Building a Multi-Agent Debate System with LangGraph
## Introduction Multi-agent systems are a fascinating area of AI development, where multiple autonomous agents collabo...
21
Oct 2025
Make Trade-offs Explicit as a Clarity Multiplier
The most powerful thing you can do as an engineering manager isn't making better decisions—it's making the trade-offs b...
20
Oct 2025
Engineer the Handoffs Where Most Productivity Dies
Most engineering managers optimize for individual productivity. They focus on hiring great people, improving code quali...
19
Oct 2025
Invest in Compounding Leverage
The difference between good engineering managers and exceptional ones isn't how much they do—it's how much compounds ov...
18
Oct 2025
Build Conviction Through Small Bets
The best engineering managers don't make big decisions through perfect analysis—they build conviction through strategic...
17
Oct 2025
Scale Culture Through Defaults, Not Rules
Most engineering managers try to scale culture through policies, rules, and guidelines. They write extensive playbooks,...
16
Oct 2025
Manage Your Attention Budget as Your Scarcest Resource
You can always hire more engineers. You can negotiate for a bigger budget. You can even extend deadlines. But you cann...
14
Oct 2025
Design Your Feedback Loops
The difference between a mediocre engineering organization and an exceptional one often comes down to a single variable...
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