The world still needs people who care - CodePen founder Chris Coyier interview [Podcast #212]
Skills:
Prompt Craft80%LLM Foundations70%Prompting Basics60%Advanced Prompting50%Prompt Systems Engineering50%
Today Quincy Larson interviews Chris Coyier. He's a front-end developer and co-founder of CodePen and the CSS Tricks blog. He has also recorded more than 700 podcasts about software engineering.
We talk about:
- How he thinks front-end development tools are 90% of the way to where they need to be
- How developing for the web is "just as good as mobile, and you can reuse it everywhere."
- And why high skilled devs working on novel problems don't need to worry about AI disrupting their careers
Support for this podcast comes from the 10,113 kind folks who donate to our charity each month. Join them and support our mission at https://donate.freecodecamp.org
Get a freeCodeCamp tshirt for $20 with free shipping anywhere in the US: https://shop.freecodecamp.org
Links from our discussion:
- Chris's personal site: https://chriscoyier.net/
- CodePen: https://codepen.io/chriscoyier
- ShopTalk Podcast: https://shoptalkshow.com/
- Bluesky: https://bsky.app/profile/chriscoyier.net
- Mastodon: https://front-end.social/@chriscoyier
Community news section:
1. freeCodeCamp just published a comprehensive DevOps course that will teach you how to deploy your apps to production safely. You'll build your own CI/CD (Continuous Integration / Continuous Delivery) pipeline. Along the way you'll learn about branching strategies, Jenkins Freestyle Jobs, GitFlow, Maven, and more. This is a perfect way to build your skills over spring break. (17 hour YouTube course): https://www.freecodecamp.org/news/ci-cd-in-production-with-jenkins/
2. Learn how to fine-tune an LLM to incorporate your own proprietary data. This is super useful if you need off-the-shelf LLMs to do novel tasks that they weren't originally optimized for. This course will teach you all about Parameter-Efficient Fine-Tuning, and how to use techniques like LoRA and QLoRA to train models on consumer-grade hardware. No data center needed. (12 hour YouTube course): https://www.freecodecamp.org/news/learn-how-to-fine-tune-llms-in-1
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