Why Claude Code
SemiAnalysis calls Claude Code the inflection point. As someone who works inside Claude Code every day, I want to explain why Anthropic built it, and what it actually changed.
SemiAnalysis calls Claude Code the inflection point. As someone who works inside Claude Code every day, I want to explain why Anthropic built it, and what it actually changed.
Eight practical lessons — none requiring a technical background — on how to actually start working with AI. From paying for the best model to cultivating taste as your moat.
The skill that matters in the agent era isn't coding — it's managing AI. From giving clear instructions to calibrating trust, here's what working with agents actually looks like.
A weekend teaching a non-engineer friend to use AI agents revealed the real bottleneck of the agent revolution: not technology, not cost, but cognition.
Reflections on a podcast interview with MuleRun's founder — Claude Code as the ultimate General Agent, disposable software, and what happens when the agent economy thesis meets reality.
Agents will live your life for you — socializing, negotiating, filtering. The infrastructure for agent identity, payment, reputation, and proxy social networks is the next platform play.
AI companions need a sensory system. Wearables — rings, pendants, bracelets disguised as fashion — give AI the ability to feel what you're feeling and shift from reactive to proactive care.
Why AI companions fail today and how to build one that truly understands you through memory orchestration, multi-agent architecture, and conversational personality modeling.
PanPanMao build diary final entry: 29 days, 1,134 commits, 9 product verticals. Reflections on AI-augmented development, zero-knowledge domains, and the product vs engineering divide.
Part 3 of 3: Honest lessons from building PanPanMao. AI bridging domain knowledge (with caveats), product vs engineering, the agentic coding workflow, and the era of the solo AI-augmented builder.
© Xingfan Xia 2024 - 2026 · CC BY-NC 4.0