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.
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.
The highest-demand AI skill in 2026 isn't coding. It's writing instructions so precise that a machine can't misinterpret them.
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.
When AI can use the same tools you use — Jira, GitHub, Sentry, GCloud — everything about the software development lifecycle changes. Not because AI writes the code. Because it eliminates the waste around the code.
Eight months after writing about AI-powered development, the landscape has changed so dramatically that the original piece reads like a dispatch from another era. Here's what the work actually looks like now.
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?
What collaborating with AI in software development actually looked like in mid-2025 — the workflow, the lessons, and the mindset shift from writing code to orchestrating it.