466: All about keynotes with Aji Slater
Episode
43 min
Read time
2 min
Topics
Productivity, Design & UX, Software Development
AI-Generated Summary
Key Takeaways
- ✓Keynote Selection Process: Conference organizers often elevate strong CFP submissions to keynote slots rather than only using invitations, particularly when proposals align with conference themes and come from established speakers with proven presentation skills.
- ✓Effective Keynote Strategy: Focus on one or two major ideas audiences can follow in real-time rather than attempting grandiose statements. Avoid trying to say everything at once, which causes talks to lose focus and fail to provide actionable takeaways.
- ✓Learning with LLMs: Large language models excel at explaining unfamiliar code and frameworks when you lack the vocabulary to search effectively, though they struggle generating new code for unique library combinations. Best used for directional guidance rather than code generation.
- ✓Conference Community Building: Each conference creates a temporary community where keynotes provide shared conversation points. Successful keynotes punctuate ongoing community discussions and inspire dialogue throughout the event, connecting attendees through common reference points and experiences.
What It Covers
Aji Slater discusses preparing a keynote for the final RailsConf by analyzing every keynote in the conference's history, sharing insights on effective keynote design, speaker preparation, and audience engagement strategies.
Key Questions Answered
- •Keynote Selection Process: Conference organizers often elevate strong CFP submissions to keynote slots rather than only using invitations, particularly when proposals align with conference themes and come from established speakers with proven presentation skills.
- •Effective Keynote Strategy: Focus on one or two major ideas audiences can follow in real-time rather than attempting grandiose statements. Avoid trying to say everything at once, which causes talks to lose focus and fail to provide actionable takeaways.
- •Learning with LLMs: Large language models excel at explaining unfamiliar code and frameworks when you lack the vocabulary to search effectively, though they struggle generating new code for unique library combinations. Best used for directional guidance rather than code generation.
- •Conference Community Building: Each conference creates a temporary community where keynotes provide shared conversation points. Successful keynotes punctuate ongoing community discussions and inspire dialogue throughout the event, connecting attendees through common reference points and experiences.
Notable Moment
Slater watched ninety-three hours of RailsConf keynotes without predetermined conclusions, allowing themes to emerge organically rather than fitting speaker narratives to a preconceived story, discovering insights he never anticipated from the comprehensive historical analysis.
Episode Transcript
Have you ever set up auto scaling on your production app? Maybe you know how painful it is to use built in auto scalers on platforms like AWS and Heroku, the confusing settings, unreliable metrics, and no clear visualization of what's really happening. Judo scale is the auto scaler built to make your life easier. With smart defaults and beautiful charts, you'll be auto scaling in minutes. The result, a much lower hosting bill and a bulletproof prod environment that easily handles traffic spikes. You can use Judo Scale on AWS, Heroku, Render, fly.io, and more. It's free for low traffic apps, and unlimited plans start at $25 per month. Autoscale on easy mode at judoscale.com. Hello, and welcome to another episode of the Bike Shed, a weekly podcast from your friends at Thoughtbot about developing great software. I'm Joel Kenville. And today, I'm joined by fellow Thoughtbotter, Aji Slater. Hey there, cats and kittens. And together, we're here to share a bit of what we've learned along the way. So, Aji, what's new in your world? Well, right now, my current client has an application whose front end is in Angular. This is not a technology I've really worked before. It's got a Rails back end, so I'm pretty comfortable there. And, you know, we have to we have to learn new things all the time, find ourselves in new environments, figure our our way around. That's just kinda what we do as consultants. But because of the timing of where in the world this project is happening, it's been a fun experiment for me to try an alternate way to learn a new framework in a new environment. I've been using a lot of LLM tools to learn my way around, not necessarily the application itself, but learn my way around Angular, being able to ask it questions to explain something that might not match up exactly what's in the docs. And it's been interesting experiment. I think things have gone well as far as, like, the project is concerned, but I've come away with a a lot of learning as to how I can best interact with these new tools. How has the experience been using LLM for effectively documentation search versus a traditional Google search? It is definitely helpful in that I don't need to know what keyword I have to look for beforehand, especially in a completely new environment. You don't always know those terms. Right? And so it's been fantastic for that because I can put a line or two of code into it and be like, can you explain this to me? And, you know, give it the different libraries and packages, things that we're we're using. So it's certainly helpful for that. I have not found it to be very good generating new code for this environment. There are a couple of unique, probably not unique, but there's a combination of libraries supporting the way that this application works that is not …
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