Whispering to the Machine: Take Three
Five months after Take Two, the third snapshot. The agents work nights now, the world pushed its way into the workflow, and the most durable thing on my machine is the record.
Engineering
From Tools to Framework
Frameworks are inevitable. They emerged for Ruby, Python, and PHP. Now they're emerging for agentic development. Here's the one that evolved on my workbench, and what it taught me about working with AI.
Context Architecture
AI agents are only as good as the information they can find. Context architecture is the skill of building structured environments where agents reliably retrieve exactly what they need.
Specification Precision
The highest-demand AI skill in 2026 isn't coding. It's writing instructions so precise that a machine can't misinterpret them.
The System That Built Itself
Six months of surviving as a one-person engineering team produced something I didn't expect: a layered AI operating system that grew organically from daily necessity.
Eliminating Waste in the SDLC
When AI can use the same tools you use, Jira and GitHub and Sentry and GCloud, everything about the software development lifecycle changes. Not because AI writes the code. Because it eliminates the waste around the code.
Whispering to the Machine: Take Two
Eight months after writing about AI-powered development, the ground has moved so far that the original piece reads like a dispatch from another era. Here's what the work actually looks like now.
The One-Person Engineering Team
The role of the software engineer is changing. What happens when one person with AI agents can cover the ground that used to require a full team?
Whispering to the Machine
What collaborating with AI in software development actually looked like in mid-2025. The workflow, the lessons, and the shift from writing code to orchestrating it.