Real codebases. Real prompts. Real numbers. How power users prototype faster, scale agents in big repos, and pick the tech stack combinations that actually work.
Six months of running an autonomous agent against a real iOS codebase. Where it shines, where it breaks, and the five workflow patterns that became habit.
A real walkthrough of a side-project that shipped to TestFlight in an afternoon. Tech stack, prompts, pitfalls, and what was worth automating vs. what wasn't.
A breakdown of which model gets which task, with cost-per-PR numbers across Claude, GPT, DeepSeek, Gemini, and LingModel over a quarter of real work.
We're commissioning field notes from engineers running LingCode in production. Real codebases, real numbers, your name on the byline. Honoraria for accepted pieces.
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