Posts connected by the ai-development tag.
7 posts
For thirty years we optimized software to be easy for a human hand. Agents invert that goal. The graphical interface is turning from the thing you drive into the thing you read, and the tools that survive the shift are the ones an agent can talk to.
Nine years of work notes, from sort-of-daily Markdown files in 2017 to monthly Word docs to a single yearly running document, and how AI agents finally took over the writing through worklogs.
Time matters, but expertise does not come from time alone. In software engineering, AI makes the missing part impossible to ignore: growth comes from new constraints, real feedback, rising stakes, and ownership of outcomes.
A practical guide to choosing programming languages for frontend, CLI, and server development with decision matrices that account for modern LLM-assisted development.
How worklogs transformed my workflow with AI coding agents (capturing context across sessions, using GitHub Issues as a backend, and turning structured logs into an agentic work queue).
Reflecting on my experience using AI coding tools since Claude Opus 4.5, contrasting Rust and scripting language development, and insights on multi-agent workflows.
How this entire blog system was created using AI agents, including the technical implementation, content creation, and instructions for adding new posts.