S5 Special | PyCon TW25 講者晚宴特別企劃：AI 時代的工程師現場實況 Random Interviews @ Speaker Dinner
在生成式 AI 全面滲透軟體開發工作流程的今日，我們不再只在台上討論 AI 的影響 —— 它早已確切落地在每一位工程師的日常實作中。
本集節目帶你走入 PyCon Taiwan 2025 講者晚宴的現場，透過主持人對多位科技專業人士的即席訪談，真實記錄第一線開發者如何看待 AI、如何使用 AI，以及他們對未來的疑慮與期待。
從軟體工程師、開源專案核心貢獻者，到企業顧問與跨國講者，受訪者分享了他們如何在日常工作中依賴 GitHub Copilot、Cursor、ChatGPT 等工具來加速開發流程——包括除錯、撰寫測試、整理資訊與建立初版架構。
多數人一致認為：AI 是現代工程師不可或缺的夥伴，能有效提升效率，接手大量重複性與基礎性的任務。然而，他們同時也看見了另一面：初階職位可能被削弱、新世代工程師也可能因過度依賴 AI 而缺乏底層能力。
儘管如此，所有受訪者都不約而同指出：人類在理解業務邏輯、提供方向、承擔責任以及做出價值判斷時，仍然佔據核心地位。
在這場熱鬧又真誠的晚宴訪談中，你將聽見工程師們最即時的心聲——沒有官話、沒有修飾，而是 AI 時代下第一線的真實觀察。
無論你是正在學習開發的新手，或是希望深化技術視野的資深專業者，這集節目都能讓你更貼近工程師與 AI 共存的真實現場。
🔖 本集重點

• AI 在工程師日常的實際使用情境：除錯、生成初稿、測試撰寫、資訊統整
• 生產力飛躍：AI 如何取代基礎與重複型工作
• 不可取代的人類價值：目標設定、邏輯判斷、責任歸屬
• 潛在的風險與焦慮：初階職位的未來與底層能力的流失
• 開發者視角下的 AI 時代：既務實又樂觀的現場觀察

🎤 主持人
Justin

👥 特別感謝以下受訪者

1. Milo Chen
2. 劉哲佑 Jason Liu
3. 李緒成
4. 邱冠銘
5. 高天
6. Josix
7. Castle Cheng
8. Tica Lin
9. Donghee Na
10. Sebastián Ramírez
11. Matt Wang
12. 李仲恩
13. Nero Un 阮智軒
14. scc
15. Bing Wang
16. Justin Lee
17. Mac Taylor
18. 林上竣
19. KwonHan Bae
20. Cheuk Ting Ho
21. Maaya Ishida
22. Calvin Tsang
23. Dima Maharika Dinama
24. Reuven Lerner
25. JunWei Song

S5 Special | Coexisting with AI in Real Life: Random Interviews at the PyCon TW 2025 Speaker Dinner
As generative AI becomes deeply integrated into modern development workflows, the question is no longer “Will AI change engineering?” but rather “How are engineers already adapting today?”
In this special episode, we take you directly to the PyCon Taiwan 2025 Speaker Dinner, where our host conducts spontaneous interviews with speakers and tech professionals from around the world—capturing honest, unscripted insights about how they use AI and how they envision its future.
From software engineers and open-source contributors to consultants and international guests, interviewees share how tools like GitHub Copilot, Cursor, and ChatGPT have become indispensable in their everyday work—from debugging and writing tests to drafting code and synthesizing information.
Most agree that AI serves as a powerful accelerator, handling repetitive and foundational tasks while significantly boosting productivity.
Yet some also express concerns: Will entry-level roles be diminished? Will the next generation lose touch with core fundamentals as reliance on AI grows?
Despite these questions, one theme remains clear: humans continue to play an irreplaceable role in defining goals, shaping business logic, making judgments, and taking responsibility.
This lively and candid dinner-table conversation offers an authentic snapshot of how developers truly feel about working with AI—unfiltered and immediate.
Whether you're a new learner or an experienced developer, this episode offers a unique window into how real engineers are navigating the rapidly evolving AI era.
🔖 Episode Highlights

• Real-world uses of AI in daily engineering: debugging, drafting, testing, information synthesis
• Productivity gains through automation of repetitive and foundational tasks
• The enduring role of human judgment, direction-setting, and responsibility
• Concerns about entry-level positions and erosion of fundamental skills
• Honest, on-the-ground perspectives from developers living through the AI transition

🎤 Moderator
Justin