Tagged: AI development
6 articles on ai development.
What the Teams Actually Shipping Coding Agents Have Figured Out
Coding agents are the most economically viable AI in production today. The patterns Devin, Cline, Amp, and others converged on, and what they mean for anyone building or using agents seriously.
Stop Shipping Features: Why AI Products Need an Experiment Mindset
12 features shipped in a quarter. Zero meaningful metrics moved. AI products aren't software projects. The roadmap is a hypothesis board, not a delivery schedule, and treating it otherwise is expensive.
When English Became a Programming Language
v0 just proved that English plus AI can replace traditional web development for most apps. That changes what it means to be a developer. An honest take on what shifts, what doesn't, and what to do about it.
You Are No Longer a Coder: The Shift from Execution to Direction
I stopped writing most of my own code. What changed, what I delegated to AI, what I found it can't do, and why the hardest part of the transition had nothing to do with technology.
Every Failed AI Product Has the Same Root Cause
The same failure pattern shows up everywhere: teams shipping fast and iterating on vibes instead of building systematic evaluation. Evals aren't a nice-to-have. They're the core competency of any serious AI product team.
Why I Stopped Using RAG for Coding Agents (And What I Do Instead)
The instinct when building a coding agent is 'I need RAG to handle large codebases.' The better instinct is giving the agent tools to explore code the way a senior engineer would: reading files, following imports, tracing execution.