Two copies of the truth are one too many
Most teams keep docs in two places, Markdown in GitHub and a polished copy in an editor, and both drift. Two-way sync keeps them one shared document.
Notes from Apoorva Shete
Docs-as-code as simple as Google Docs
Customer guides, onboarding flows, API references: they live in the codebase, where the people who write them can't easily edit. So they keep a working copy somewhere else and maintain two versions of the same thing, forever.
How others build agent memory, and what I took from each
ChatGPT, Claude Code, and Letta have each built production memory systems for AI agents. Looking at the differences shaped how I built agent signals for Falconer.
Agent Personalization: an agent that knows you
Falconer now tailors every response to who you are. Agent Personalization builds a lightweight, transparent profile of your role, team, and preferences — fully editable, with every attribute traced back to its source.
Rethinking data ingestion as a DAG
How we reduced data ingestion time from hours to minutes by reimagining our pipeline as a directed acyclic graph. This post covers the architectural shift from async workflows to job queues, the migration strategy we used to preserve behavior, and the observability patterns that helped us identify and isolate bottlenecks at scale.