Contents
agileguy
Contents, continued
Page 2 of 2. 19 essays in all.
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Why CLI Tools Beat MCP Servers for Agentic AI (And When They Don't)
The command line is 55 years old. MCP is 15 months old. One of them is winning the AI tooling race. Three independent AI researchers investigate.
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How I Built a Quantitative Penny Stock Screener in Python
Penny is a Python CLI tool for screening, analyzing, backtesting, and simulating trades on OTC penny stocks. It combines technical indicators, multi-factor risk assessment, composite scoring, automated exit strategies, and campaign-based backtesting.
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The Science of Human Flourishing: What 200,000 People Across 22 Countries Taught Us About Living Well
What 200,000 people across 22 countries taught us about living well. Based on the largest flourishing study ever conducted.
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My Open Source CLI Arsenal: A Tour of Published Packages
Why do developers love CLIs? Because GUIs are for people who like clicking around—we prefer to get straight to the point. I've been on a CLI-building spree lately,
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How I Built a Ghost CLI in 45 Commits with an Orchestra of AI Agents
Building a production CLI with an orchestra of AI agents: ProjectManager, parallel Engineers, and multi-perspective Code Reviewers working in harmony.
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Building LogView: A Tale of AI-Assisted Development and Relentless Code Review
Or: How We Built a Production-Ready TUI in 136 Commits with Claude, Cursor, and an Unhealthy Amount of Coffee The Setup Picture this: You're debugging a production issue. You
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I Built a 25,000-Line TUI in 72 Hours and All I Got Was This Lousy FlowState Bug
The Confession Let me be clear about what this post is not: it's not a triumphant tale of AI-powered development where everything went smoothly. It's not a
