#ai
7 notes tagged ai
-
Voice-Driven Development: Speaking to Machines
Why I use AI-powered voice dictation to communicate with AI agents, and what the future of human-machine interaction might look like.
-
My Approach to Software Engineering with AI in 2026
I outline my approach to AI-enhanced software engineering in 2026, informed by 30 years of experience and a couple of years deliberately leaning into AI as a core part of how I work.
-
Core Engineering Principles for AI-Augmented Workflows
Traditional engineering practices don't become obsolete when AI handles implementation. They become essential infrastructure. The engineer's role is to focus on defining what success looks like and less about inspecting how it was achieved.
-
My Principles for Leading AI-Assisted Development
Principles I'm following to maintain ownership, judgement, and good software engineering whilst using AI to handle execution.
-
Autonomous AI Development: Outsourcing Authorship, Not Ownership
A practical workflow for freeing AI agents to handle more code generation autonomously, whilst retaining ownership of quality and direction.
-
What Makes Humans Valuable When AI Handles Execution
When code production becomes cheap, human value shifts to judgement, trust, and imagination. Jevons' paradox suggests demand for software will only grow.
-
Staying Sharp in the Age of AI
The tension between leveraging AI for speed and maintaining the technical instincts that make that leverage possible.