Tony Alicea (@anthonypalicea) 's Twitter Profile
Tony Alicea

@anthonypalicea

Bestselling Udemy & Pluralsight Instructor - The Smyth Group - tonyalicea.dev/courses - thesmythgroup.com

Don’t imitate, Understand.

ID: 820354128

linkhttps://www.udemy.com/user/anthonypalicea/ calendar_today12-09-2012 21:11:03

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9,9K Followers

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I'm looking to massively update my React course landing page. I don't think I'm currently selling the true value of an under-the-hood, source-code-level course. Looking for honest feedback on it's current state. Thoughts welcome! I can take it! understandingreact.com

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I have multiple courses in production…but work has begun on my first AI course (the first of a few). It will be a fundamentals course on effectively using Generative AI for software development, starting from first principles of how AI works. Stay tuned.

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You shouldn’t think of prompts as “instructions”. LLMs aren’t deterministic systems, they’re pattern matchers. Think of prompts as just another form of context. A more immediate context, yes, but a part of the whole.

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Current status: lectures on how LLMs work and how understanding that enables you and your team to use them well in AI-assisted software development. Coming to Udemy.

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Change happens. New tools appear. AI is the latest (huge) example of that. As change blows through, I believe that fundamental understanding is an anchor. The safest most assured way to have a long, enjoyable dev career. That's why I teach what I teach the way I teach it.

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I think 'context engineering' and 'prompt engineering' set poor mental models for doing it well. A better term, for a number of reasons, would be 'context authoring'. I feel like writing a blog post on this.

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The must-have skill for getting the best output from AI has actually been around for a long time. It's called "information architecture". Good context/prompt engineering is just information architecture for language models.

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I feel like there's a big need for a hype-free workshop for execs and managers on safely and wisely adding AI to your organization. But my audience is mostly devs.🤔

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I'm sorry but all these 10x agentic coding stories of a single dev getting a ton of code pushed...reviewing code *takes time* (tests or no tests). Performance, logic, edge cases, etc. all need human eyes at some point. 10x technical debt is not the flex you think it is.

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Someone just left a 3-star review on my new React course on Udemy because it didn’t cover “new React methods like signals”. They also said they are a “seasoned React developer”. 😳😳😳

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If you can’t be bothered to take the time to write a post yourself, (so you post AI slop)…why should I take the time to read it?