@Xudong07452910: A master's exchange student recently joined our lab from the Department of Computer Science at the University of Toronto. When I talked with her today about AI tools, I found that she knows many tools and understands how AI will affect her future job prospects, but she is still conservative in her own use—she rarely uses Codex and still relies on Gemini.
Summary
The blogger found that a master's exchange student from the University of Toronto's computer science department knows about AI tools but uses them conservatively on her advisor's advice.
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@tan_maty: This girl is incredibly driven. At 20, she taught herself computer science for two years and landed a job at Microsoft as an AI engineer. I checked her GitHub repo — it's impressive. She has generously shared everything she learned about CS and AI over those two years, and it's definitely worth our time. For incoming college freshmen and current students, and honestly even us veterans...
A 20-year-old woman taught herself computer science for two years and became an AI engineer at Microsoft, sharing her learning notes and resource repository X-Plore.
@MaxForAI: I laughed when I saw this post claiming AI can't replace professionally trained people. A bunch of people are nitpicking over the fact that big influencer Kazike doesn't understand CDN details. Then they smugly say, "See? They still need us, the professionally trained ones." I don't get what they're so smug about… Hu Yanbin's Vibe coding app had some bugs recently, and a bunch of people were cheering about that too. Let me remind these friends: the reason "non-professionals" make many rookie mistakes now is essentially because AI isn't strong enough yet. Tomorrow, the day after, these bugs will become fewer and fewer. Clinging to "today's knowledge gap" as a moat is basically betting that AI won't improve. The real point here isn't whether "professionals have an advantage"—it's that for the first time, AI allows a person to cross into a completely unfamiliar field at low cost, to understand, build, and produce. This is a paradigm shift. So the question should be flipped: you people who are already experts in your own fields—why aren't you using AI or software engineering to conquer other domains, instead of sitting in your moat feeling superior by pointing out others' bugs? Don't resist evolution.
Discusses how AI development enables non-professionals to produce across fields, and that professionals should not cling to knowledge gaps but embrace AI tools.
@xiaogaifun: A Major Pitfall Our Team Encountered with Codex. I want to sincerely share a topic we discussed in our weekly meeting. This might be a common pitfall for many people using agent products like Codex. In short, if we just keep issuing commands and accepting suggestions from Codex without understanding or judgment, then these...
The team shares the problem of over-reliance on AI leading to a lack of deep understanding among members when using Codex. It emphasizes that humans should act as leaders of AI, not mere messengers, and need to understand the principles and logic, turning AI output into their own experience.
@blueskylh1: The most painful thing about solo product development or leading an AI team is being a "mindless messenger" between different chat windows. After the PM writes the requirements, I have to copy and paste them into the developer's chat. After seeing the sharing from Jason @jxnlco, a developer experience engineer on the OpenAI Codex team, I set up a workflow without...
Introduces a multi-AI agent collaborative workflow based on local plain text files and OpenAI Codex, allowing PM, backend, frontend, and QA to efficiently develop via file relay without copy-pasting.
@xilo2991: https://x.com/xilo2991/status/2070051136187621452
A comprehensive beginner's guide to the AI tool Codex (similar to Cursor), covering its interface, shortcut commands, project management, automation tasks, and how to use it to create efficient workflows (e.g., e-commerce video editing) to help zero-basic users quickly get started.