Posts connected by the agents tag.
📅 July 10, 2026
⏱️ 11 min read
Agentic tooling made pull requests cheap and plentiful, so the bottleneck moved from writing code to trusting it. The answer is not another review loop but front-loaded rigor: invest the engineering effort ahead of time to build a full, production-shaped synthetic environment you run locally, so that validation itself becomes cheap and the PR turns into a context-sharing mechanism instead of an approval gate. Tools like .NET Aspire and Dapr show what that inner loop can look like, and the same principles carry over to homegrown systems.
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📅 July 03, 2026
⏱️ 6 min read
Kahneman's two modes of thinking (fast System 1 and slow System 2) map onto learning to ride a bicycle. Attention gives way to automaticity, and that same arc is a methodology for thinking about agents, leverage, and engineering systems.
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📅 July 03, 2026
⏱️ 6 min read
Blameless engineering, borrowed from Google's SRE culture, is usually filed under postmortems. But the postmortem is only the last place the culture shows up. Blamelessness shifts all the way left into how you design systems, and it lands on one uncomfortable rule: the team is the unit of work, and heroes are a symptom of a system that is not yet well crafted. In the age of agents, where there is no one to blame, that rule stops being a nicety and becomes the only way to debug at all.
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📅 June 29, 2026
⏱️ 6 min read
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.
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📅 June 27, 2026
⏱️ 8 min read
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.
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📅 April 19, 2026
⏱️ 7 min read
When working with AI agents, craftsmanship, judgment, and taste are what humans contribute. Craftsmanship builds expertise through exploration, judgment determines what you control versus delegate, and taste guides what's worth building. These map to searching, being driven, and renewal in the Quest Engine.
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📅 April 08, 2026
⏱️ 11 min read
Quest Engine is a methodology built on three recursive action steps that help you solve problems at any scale. Through Searching, Being Driven, and Renewing (you compound your capability continuously). AI coding agents amplify these natural processes as tools that multiply your leverage.
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📅 March 28, 2026
⏱️ 10 min read
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).
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📅 February 07, 2026
⏱️ 9 min read
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.
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📅 December 11, 2025
⏱️ 9 min read
A deep dive into how a keyboard configuration project evolved from manual Go programming to agent-assisted development, and the surprising realization that having agents make direct changes is simpler than writing code to automate everything.
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📅 September 13, 2025
⏱️ 5 min read
How this entire blog system was created using AI agents, including the technical implementation, content creation, and instructions for adding new posts.
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