The Supreme Court just struck down Trump’s tariffs — but tariffs were always the wrong tool. Automation removes a company’s obligation to the society it profits from without crossing any border. That’s the version of the problem accelerating right now.
Tariffs don’t bring jobs back — they make domestic automation more attractive than hiring. The full argument: why reshoring and robot replacement point the same direction, what the robot tax gets wrong, and what a real framework might look like.
The cost of software production is collapsing. But the outcome isn’t less software — it’s more ambitious software, built by smaller teams. The trillion-dollar one-person company is real. The question is whether you have the judgment to lead it.
Part 3 of a conversation with Claude Opus 4.6. After mapping the scenarios and the odds, I pushed for something more actionable: what actually moves the needle?
Part 2 of a conversation with Claude Opus 4.6. We got past the developer questions and into the bigger ones: UBI, blue collar automation, and what odds the AI gives us of coming out okay.
I asked Claude Opus 4.6 what happens when building software costs nothing. The answer was more honest — and more uncomfortable — than I expected.
After 2 failed attempts in early 2024, Claude 3.5 Sonnet (October 2024) finally had the instruction-following capability needed. Built a production deployment orchestrator in 3 days that saved weeks per use.
I’ve learned through experience that there’s a fundamental truth about AI-assisted development: AI enforcement is not assured. You can write the most detailed skill file. You can craft the perfect system prompt. You can set up MCP servers with every tool imaginable. But here’s the uncomfortable truth: the AI decides whether to follow any of it. That’s not enforcement. That’s hope. TL;DR: LLMs are probabilistic and can’t guarantee workflow compliance. Skills and MCP tools extend capabilities but don’t enforce behavior. Claude Code Hooks solve this by providing deterministic control points—SessionStart, PreToolUse, and PostToolUse—that ensure critical actions always happen. As AI-generated code scales, you need automated validation systems that codify architectural rules, business constraints, and design patterns. Workflow orchestration must live outside the AI. ...
Can machines think like humans? Explore the fascinating comparison between biological brains (20 watts, continuous learning) and artificial neural networks (megawatts to train, frozen after training). Understand thinking, creativity, and consciousness.
Built a fully functional Codecov MCP server in 2 hours using Claude Code to extend Claude Code itself. From zero to working server with authentication, API integration, and real-world lessons learned.