Technology media for practical people.

Four practitioners discuss using AI as a co-facilitator in high-stakes consulting, from large-group conversations and government work to due diligence and organisational change.

Three venture builders discuss how pausing to build a company brain helped them answer the right questions and create stronger foundations for growth.

A structured session on moving AI planning from vague ideas to commercial outcomes.

Robby Russell discusses maintaining existing software, makers and menders, responsible AI-assisted development, open source, Rails upgrades, and creating more room for curiosity.

Aleksandr Tynianov discusses how to review AI-generated code and turn it into secure, reliable software for a business.

Troy Mallory discusses combining electrical and software engineering with JRuby to build a more efficient operating-system kernel, alongside his earlier accessibility work.

What builders and buyers need to understand beyond AI-generated code, including concurrency, data privacy, recovery, testing, and the operational knowledge required to run reliable software.

Why software projects fail when implementation begins before the problem, outcome, ownership, and constraints are agreed—and how to reset the project around a clear purpose.

Six questions for deciding between refactoring and rewriting, covering architecture, hidden business knowledge, incremental change, continuity, and the value a rebuild would unlock.

Six practical questions for deciding whether to refactor, replace a component, migrate gradually, or commit to a full software rebuild.

How I designed a readable grotesque font with its own personality, a complete character set, and enough weights to work across apps and websites.

AI can widen your options and improve your information, but decisions about problems, trade offs, standards and accountability still belong to people.