Code by Reason

Project Hamburg
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Code by Reason is a nonprofit podcast from Project Hamburg Research exploring practical AI, “vibe coding,” and building real systems the right way. Designed for students, builders, and curious learners, each episode shares workflows, tools, and habits that turn experimentation into sustainable skills. We focus on clean data, strong organization, and thoughtful AI use—helping you learn at your own pace and build projects that last.

Tập

  1. 26 THG 3

    Ep 2: Case Study 01: Human-in-the-Loop AI & The 2026 AFCON Legal Dispute.

    Correction: An earlier draft referred to the 1976 Morocco-Guinea AFCON match as a precedent involving a Moroccan walk-off followed by resumption of play. We no longer rely on that characterization. On further review, we have not identified a primary archival source sufficient to support that account as a settled historical fact, and the reference has therefore been removed from our argument. Our position does not depend on the 1976 analogy and rests instead on the text of the applicable regulations, the structure of the Laws of the Game, and the cited CAS authorities. What happens when a sports dispute leaves the pitch and enters the courtroom—and the legal strategy is drafted by an AI? In our first official case study on Code by Reason, we examine a mock legal appeal surrounding the highly controversial 2026 Africa Cup of Nations final. Following a 14-minute stoppage-time walk-off, the Confederation of African Football (CAF) stripped Senegal of their title. We tasked our custom AI agentic framework to review the governing rulebooks and precedents, and it returned an astonishingly detailed, hyper-literal textual defense. But our goal today is not to declare this AI-generated appeal a flawless legal victory. Instead, we are asking a critical question for builders and researchers: Does this output hold up to professional scrutiny? This episode is an open invitation to you, our listeners. Whether you have formal legal experience or simply a sharp analytical mind, we want you to evaluate the AI's reasoning. Where are the logical gaps? Can you spot any hallucinations, confident misinformation, or misinterpretations of the law? By sharing your feedback and pointing out these flaws, you directly help us refine our "human-in-the-loop" methodology and improve the agentic framework. We are testing the hypothesis that AI—when guided by clean data, strict rubrics, and proper oversight—can genuinely contribute to high-level research and discovery as a supportive tool, rather than a standalone replacement for human experts. Listen in, stress-test the AI's logic, and let us know where the system passes the test—and where it falls short. Code by Reason is a nonprofit podcast by Project Hamburg Research Inc. (projecthamburg.org), a 501(c)(3) based in Buffalo, NY, and Montreal, QC. We focus on bridging AI solutions with education, law, healthcare, and finance. Learn more and support our research at our website.

    19 phút

  2. 16 THG 2

    Ep 1: Don't Just Vibe, Build. The Future of AI Coding.

    Everyone is talking about "Vibe Coding," but are they actually building software that lasts? In our very first episode, we explore the research of Mordecai from Project Hamburg to find out how to use AI sustainably. We discuss the transition from the "Control-F" era to the "Agent" era, and why you need to stop acting like a prompter and start thinking like an architect. We discuss: Coding by Reason vs. Guesswork.Why you need an "Appendix" folder.Choosing the right AI model for the right job (Claude vs. Gemini).The danger of the "Gold Rush" mentality.Tune in to learn how to future-proof your skills in the age of AI.

    14 phút
  • 2 tập

Giới Thiệu

Code by Reason is a nonprofit podcast from Project Hamburg Research exploring practical AI, “vibe coding,” and building real systems the right way. Designed for students, builders, and curious learners, each episode shares workflows, tools, and habits that turn experimentation into sustainable skills. We focus on clean data, strong organization, and thoughtful AI use—helping you learn at your own pace and build projects that last.

Thông Tin

  • Nhà sáng tạo
    Project Hamburg
  • Năm hoạt động
    2 N
  • Tập
    2
  • Xếp hạng
    Sạch
  • Bản quyền
    © Project Hamburg
  • Trang web chương trình
    Code by Reason