WRITING

Writing

How Agents Make Plans: From Task Decomposition to Search and Replanning

A useful plan is executable, verifiable, and willing to change. This article separates task decomposition, search, feedback, and formal planning into the problems they actually solve.

What ReAct Actually Does: How an Agent Acts, Observes, and Adjusts

Starting with a failed CI run, see how Thought, Action, Observation, and the Runtime let an Agent adjust its next move from environmental feedback.

How Does an LLM Agent Actually Finish a Task?

From reading a codebase and running tests to changing course after an error, an Agent works through a repeated act-observe-adjust loop.

Why I Built Made by Arjun

A personal site can show the engineering judgment that a list of technologies leaves out.

How Transformers Build Context with Self-Attention

Starting with a single service call, follow one token through self-attention: see how it forms Query, Key, and Value vectors, computes attention weights, and gathers context with multi-head attention.