How I think about AI, how I use it daily, and what it changes about building software.
AI didn't just speed up my workflow — it changed where the real work lives. Writing code is no longer the bottleneck. Clear thinking, architecture, constraints, and verification are.
AI is excellent at execution, but it depends entirely on human intent: deciding what should exist, why, and how it should behave. Used well, AI doesn't replace engineers — it amplifies them.
Reasoning through system design, trade-offs, and component boundaries before writing any code.
Generating boilerplate, scaffolding, and repetitive code so I can focus on the interesting parts.
Second pair of eyes on pull requests, error analysis, and catching edge cases I might miss.
Writing clear READMEs, API docs, and inline explanations that I'd otherwise skip.
Generating test cases, edge conditions, and validation sequences for critical paths.
Rapid prototyping of UI patterns, layouts, and copy before committing to implementation.
Today I spend more time reasoning about systems, validating assumptions, and designing boundaries than typing code. AI handles the mechanical work, which frees me to focus on trade-offs, correctness, and long-term structure.
That shift makes it possible for individuals to build things that once required entire teams. The definition of "developer" is evolving — from writing every line to directing, verifying, and deciding.
The landscape has changed. My focus is on mastering Cloudflare's edge ecosystem end-to-end, using AI as a force multiplier to shrink the gap between idea and execution.
In-editor code completion and chat agent
Deep reasoning, architecture, long-context analysis
Quick questions, brainstorming, general research
Phil Gibson