Carbon Chooses, Silicon Scales
AI may become better than humans at many forms of thinking without replacing humanity. The real question is whether the intelligence extending us will remain accessible to everyone.
Posts tagged
#software-engineering
10 posts
AI Feels Faster. The Data Is Less Certain.
AI coding tools feel transformative, but the productivity evidence is mixed. Part 2 of the LogCTL series on AI-native engineering examines the gap between perceived speed and measured outcomes, and why review is becoming the new bottleneck.
AI-Native Software Engineering Isn’t About AI
AI-native software engineering is not defined by how much AI a company uses. It describes a development model in which AI is treated as a primary participant in software construction rather than an occasional assistant.
The Future of Software Engineering Is an Operating Model
AI-native engineering is not defined by removing humans from software development. Part 5 of the LogCTL series examines how roles, teams, economics and accountability change when implementation is no longer the dominant activity.
The Model Is Only One Part of the System
A useful AI-native workflow requires more than a better prompt. Part 3 of the LogCTL series maps the practical method: specifications, context engineering, agent workflows and the harness that enforces permissions, boundaries and stopping conditions.
When Agents Scale, Coordination Becomes the Product
One agent can misunderstand a requirement. Several agents can misunderstand it in different ways. Part 4 of the LogCTL series on AI-native software engineering maps coordination, multi-agent orchestration, layered verification and governance at scale.
The Model Is Not the Development Environment
I spent 12 million input tokens on a small monorepo change. The problem was not the model. It was the development environment around it.
AI Speeds Up Coding, Not Engineering
An opinionated workflow for building good-enough software with AI coding agents without surrendering architecture, judgment, or security.
I Couldn't Become a 10x Developer
The pursuit of becoming a 10x developer through context-switching across six projects, multiple languages, and AI agents — and the quiet realization that 1.5x is honest work.
Learning in an AI-Driven World is a Paradox
AI has fundamentally changed the feedback loop between learning and building. I build faster than ever, yet some days I feel like I know less than ever. Here is what that paradox actually means for developers.