Engineering Notes

Engineering Notes

Thoughts and Ideas on AI by Muthukrishnan
05 Nov 2025

Agent Debugging and Observability for Seeing Inside the Black Box

Master the art of understanding, debugging, and monitoring AI agents through tracing, logging, and observability patterns
05 Nov 2025

Run Pre-Mortems, Not Post-Mortems

Most engineering teams are great at post-mortems—dissecting what went wrong after a failure. But elite teams do somethi...
04 Nov 2025

Design Ownership Boundaries, Not Org Charts

Most engineering managers scale teams by drawing org charts. The best ones design ownership boundaries first, then let ...
04 Nov 2025

Temporal Difference Learning and Q-Learning as the Engine of Agent Intelligence

**Temporal Difference (TD) Learning** and its most prominent variant, **Q-Learning**, are among the most influential al...
25 Oct 2025

Scaling Agent Intelligence Through Specialization with Mixture of Experts

**Mixture of Experts (MoE)** is an architectural pattern built around dynamic routing: instead of one generalist model ...
25 Oct 2025

Transform Failures Into Capability, Not Bureaucracy

Every organization faces failures: outages, security incidents, missed deadlines, botched releases. The critical questi...
24 Oct 2025

Build Leverage Through Documentation as Code

The best engineering managers don't just build products—they build systems that make knowledge transfer automatic, deci...
24 Oct 2025

Policy Gradient Methods and Actor-Critic Architectures

Master the mathematics and implementation of policy gradient methods and actor-critic architectures—the foundation of modern agent learning systems.
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...
23 Oct 2025

Decision-Making Under Partial Observability with POMDPs

**Partially Observable Markov Decision Processes (POMDPs)** are the mathematical framework for making optimal decisions...