Engineering Notes

Engineering Notes

Thoughts and Ideas on AI by Muthukrishnan
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.