- The Vision, Debugged;
- Posts
- What We’d Learn If We Were Starting AI Today
What We’d Learn If We Were Starting AI Today
Tezan Sahu & Sandra Anil
May 29th, 2025
Howdy Vision Debuggers!🕵️
Some of our best discoveries happen when we're supposed to be doing something else entirely. This week, a 2 AM coding detour turned into the ultimate AI engineering starter pack – and we're about to make this newsletter even better with your help.
Here’s a sneak peek into today’s edition 👀
“World’s first robot kickboxing tournament” was held in China
Simon Sinek shares his take on the AI-powered future on a podcast
5 GitHub gems will actually enable you to build in Gen AI
Time to jump in!😄
PS: Got thoughts on our content? Share 'em through a quick survey at the end of every edition It helps us see how our product labs, insights & resources are landing, so we can make them even better.
Whatcha Got There?!🫣
Buckle up, tech fam! Every week, our dynamic duo “Spark” ✨ & “Trouble”😉 share some seriously cool learning resources we stumbled upon.
 | ✨ Spark’s Selections
|
 | 😉 Trouble’s Tidbits
|
Product Labs🔬(kind of...)
Spark here with a confession: We were supposed to dissect a juicy product today, but Trouble got completely lost in a GitHub rabbit hole at 2 AM (again) and emerged with something arguably more valuable than our planned teardown. You know how it is – one "quick peek" at a repo turns into a full-blown exploration of the AI engineering universe.
But hey, before we dive into Trouble's latest obsession, we want to take a moment to appreciate YOU – our incredible readers who've stuck with us through 110+ editions of controlled chaos. 🙌
We're always looking to make this newsletter even more valuable for you, brilliant minds, and we need a quick favour from you.
Could you spare just 60 seconds to help us understand what makes you tick?
Trust us, it won't take more than a minute, and your insights will directly shape what Spark & Trouble cook up next!
Now, let's talk about what Trouble stumbled upon during that midnight coding session...
If Spark & Trouble Were Starting Over in AI…
Learning AI Engineering from scratch can feel like debugging spaghetti code without a stack trace. But what if you had a starter kit curated by Spark & Trouble themselves?
We found this gem of a post on LinkedIn and knew it belonged in “The Vision, Debugged”. Whether you're a dev looking to break into GenAI or a PM trying not to get left behind, these 5 GitHub gems will actually help you build things:
📚 Awesome GenAI Guide by Aishwarya Naresh
A master playlist of research papers, online courses, and tooling to level up your GenAI skills. Trouble binge-watched it over the weekend. (⭐️ 11k stars)🧠 AI Notes by Latent Space + Shawn
Stay updated with crisp write-ups from the brightest AI scientists and engineers. Like The Economist, but for AI nerds. (⭐️ 5k stars)🛣️ Roadmap to GenAI by Krish Naik
A structured path to learn Python and deep learning. Spark calls it the “yellow brick road” of AI. (⭐️ 3k stars)⚙️ AI Engineer Toolkit by Break Into Data
Think of it as your AI Swiss Army knife — packed with frameworks, tools, and integrations to go from idea to shipped product. (⭐️ 1.2k stars)🔍 How it Works by Hai
Okay, this one’s not a repo — it’s a tool. Paste in any GitHub repo and it’ll explain how it works. Think CliffsNotes for repos. Spark says it's her secret weapon for onboarding fast.
Your move: Pick one, bookmark the rest, and thank us later when you're the AI engineering wizard your team never knew they needed.
Spark & Trouble’s Synergy Check🧩
Well, that’s a wrap! Until then, |  |
 |  |
Reply