Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Home
All posts
AI Agents
Engineering Manager
About
Resume
Tags & Stats
10
Nov 2025
Architect Your Teams Communication Protocol
Most engineering managers focus on processes, tools, and org structure while ignoring the most critical infrastructure:...
10
Nov 2025
Planning with Backtracking and Replanning for Resilient Adaptive Agents
Learn how backtracking and replanning enable AI agents to recover from failures and adapt to dynamic environments
09
Nov 2025
Build Abstractions That Accelerate, Not Complicate
Most engineering managers understand abstractions theoretically—they reduce duplication, hide complexity, and enable re...
09
Nov 2025
Semantic Routing and Intent Classification in AI Agent Systems
## Concept Introduction **Semantic routing** determines which tool, model, or workflow should handle a user request. I...
08
Nov 2025
Codify Your Quality Bar and Make Standards Executable
The best engineering managers don't just set standards—they make them impossible to ignore by encoding them into the de...
08
Nov 2025
Meta-Learning and Few-Shot Adaptation in AI Agents
How agents learn to learn, adapting rapidly to new tasks with minimal examples through meta-learning and few-shot learning techniques.
07
Nov 2025
Agent Communication Protocols and Message-Passing Patterns for Coordination
Master the protocols and patterns that enable AI agents to communicate, coordinate, and collaborate effectively in multi-agent systems
07
Nov 2025
Create Clarity Artifacts to Turn Ambiguity into Executable Alignment
The skill that separates senior engineering managers from everyone else isn't technical brilliance or charisma—it's the...
06
Nov 2025
Build Organizational Memory, Not Institutional Knowledge
Most engineering managers worry about losing "institutional knowledge" when people leave. But that's the wrong frame. K...
06
Nov 2025
How Transformers Power Modern AI Agents with Attention and Reasoning
Understand how attention mechanisms enable AI agents to reason, maintain context, and make intelligent decisions in modern LLM-based systems.
← Prev page
Next page →