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
#llm
11 posts
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 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 Tried Too Many Coding Agents. Here Is What I Would Actually Pay For
A subjective comparison of Claude Code, Codex, Cursor, OpenCode, and the models inside them, based on ordinary application work rather than benchmarks.
Your AI Agent Should Be a Folder
After testing agent frameworks for personal automation, I realized the best personal AI agent is not a platform—it is a well-organized directory of Markdown, scripts, logs, and state.
AI Doesn't Need to Become a Better Doctor. It Needs to Become a Better Historian.
When AI spends 30 minutes patiently building a complete medical history and a doctor gets 10, the comparison isn't about intelligence — it's about information. Here's why we should be building AI historians, not AI doctors.
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.
I Tried Building My AI Agent With Existing Agent Frameworks. Then I Chose the Boring Deterministic Way.
After evaluating multiple AI agent frameworks, I found that deterministic automation with an LLM inside beats magic autonomy for real operational work.
Not Everyone Needs Frontier LLMs for Coding
Frontier models are brilliant, but many everyday coding tasks run just fine on smaller models — if your workflow is clear. Stop buying the hype and choose tools for your actual use case.
Why Use LangGraph for Your First Agentic AI Project
LangGraph forces you to learn state management, tools, routing, and human-in-the-loop approval — the fundamentals that survive framework churn in the fast-moving agentic AI space.