Ranking repos by stars favors visibility over fit. That can be a fair first filter—stars are cheap and usually mean someone noticed the project—but treating the count as proof of quality, maintenance, or production readiness is the common mistake. What follows is what stars actually measure, where they mislead, and what to check on the […]
Read More →The ecosystem of “AI skills” — modular instruction packs that extend an LLM with task-specific know-how, whether they’re called Skills, plugins, agents, MCP servers, system-prompt templates, or tool bundles — has exploded fast enough that “which one should I use?” has become the dominant question. The answer is rarely obvious from a README, and almost […]
Read More →“Most people are using MCP wrong,” said MCP’s co-creator, David Soria Parra. I agree. Because I made the same mistake. Engineers would do the obvious thing: wrap each REST endpoint as an MCP tool and shove them into a custom registry. The result? Zero value over just calling the APIs directly. Worse than zero, honestly. […]
Read More →Claude Code can show a status line at the bottom of the terminal: a thin bar that updates as you work. It is easy to ignore until you start hitting context limits or wondering what a session actually cost. The bar keeps that kind of signal in peripheral vision so the main transcript stays focused on the […]
Read More →Getting productive in an open source project usually means understanding someone else’s repository before you can ship a useful issue or PR. The default playbook is familiar: clone the repo, read whatever README or contributing guide exists, search the tree, skim recent commits, and hope the architecture becomes clear before you lose momentum. That path […]
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