I just created a massive dataset of all the AI generated metadata of the videos of the WeAreDeveloper World Congress and I wanted to extract only the tags.

The dataset is a huge array with each item containing a description, generated title, an array of tags, the original and their title, like this:

{
  "description": "The talk begins with an introduction to Twilio…", 
  "generatedtitle: "Enhancing Developer Experience: Strategies and Importance",
  "tags": ["Twilio", "DeveloperExperience", "CognitiveJourney"],
  "title": "Diving into Developer Experience"
}

What I wanted was an alphabetical lost of all the tags in the whole dataset, and this is a one-liner if you use flatMap():

data.flatMap(d => d.tags);

You can sort them alphabetically with sort():

data.flatMap(d => d.tags).sort();

And you can de-dupe the data and only get unique tags when you use Set():

new Set(data.flatMap(d => d.tags).sort());

You can try this in this codepen.

I am currently working on creating the new Call for Papers for the next WeAreDevelopers World Congress and one of the feedback items we got was that levels like “Expert, Intermediate and Beginner” don’t make much sense. First of all, speakers do not choose the right level as they are worried that a beginner or expert talk will not attract enough audience. Secondly, attendees might feel peer pressure to not watch the “beginner” talk, as that might be more suited to be a workshop.

So I thought that instead of levels, I ask speakers for classifications:

• Case Study – “How we use Kololores.js in company Blumentopferde and how it made us 30% more effective”
• Deep Dive – “Looking under the hood of Kokolores.js and why it works so well”
• Technology Introduction – “How Databaserandomising will change the way you think about structured databases”
• Tool Explanation – “Taking the pain out of Kokolores.js with Pillepalle – a visual interface and API to get you started quicker”
• Thought Piece – “Kokolores.js isn’t the answer – we need to approach this in a different way”
• Expert Advice – “How we scaled Kokolores.js to 231242 users and what to look out for”
• Level Up – “So you started using Kokolores.js – here is how to become more efficient with it”
• Learnings – “How we got rid of Kokolores.js and what it meant for our users”
• Creative – “Did you know you can use Kokolores.js to do Pillepalle?”

This should make it easier for audiences to pick a talk without having to value themselves. What do you think?

Hier sind die Resourcen meines Artikels im AI Magazin zum selbst nachlesen:

• The road to one Billion developers keynote by Thomas Dohmke and Demetris Cheatham of GitHub at WeAreDevelopers World Congress
• Amazon Cloud CEO Predicts a Future Where Most Software Engineers Don’t Code — and AI Does It Instead
• In a leaked recording, Amazon cloud chief tells employees that most developers could stop coding soon as AI takes over
• Visual Studio Code
• Microsoft Bets On Chatbots As New Way To Interact With Devices and Applications
• First GPT-4 demo building an app from a prompt
• Devin, the AI engineer
• Is Devin a fake?
• GitHub Copilot for VS Code
• Gemini AI platform accused of scanning Google Drive files without user permission
• Nvidia Sued for Scraping YouTube After 404 Media Investigation
• AI Startup Anthropic Faces Backlash for Excessive Web Scraping
• Ex-Google CEO Eric Schmidt says successful AI startups can steal IP and hire lawyers to ‘clean up the mess’
• Eric Schmidt transcript
• List of AI web crawlers to block
• FOSS funding vanishes from EU’s 2025 Horizon program plans
• The European Union must keep funding free software
• Open sourcerers say suspected xz-style attacks continue to target maintainers
• Assessing the Y, and How, of the XZ Utils incident
• What we need to take away from the XZ Backdoor
• How I discovered a 9.8 critical security vulnerability in ZeroMQ with mostly pure luck and my two cents about xz backdoor
• Timeline of the xz open source attack
• Everything I Know About the XZ Backdoor
• The XZ Backdoor CVE-2024-3094
• The Xz Backdoor Highlights the Vulnerability of Open Source Software—and Its Strengths
• Deep Dive into XZ Utils Backdoor – Columbia Engineering, Advanced Systems Programming Guest Lecture
• EU AI Act: first regulation on artificial intelligence
• Slack AI can be tricked into leaking data from private channels via prompt injection
• Data Exfiltration from Slack AI via indirect prompt injection
• GitHub comments abused to push malware via Microsoft repo URLs
• Microsoft is binding employee bonuses and promotions to security performance)
• [Local AI Stack](https://github.com/ykhli/local-ai-stack)
• Microsofts gestohlener Schlüssel mächtiger als vermutet

Die meisten dieser Artikel waren Teil des Dev Digest Newsletters, den ich jede Woche an 150,000 subscriber schicke.