1M Hackathon 💜
just like old times
🐙 Hi friend, how’s it going?
WE DID IT! 1M Celebration Hackathon X Livestream!
I don’t know how to describe last weekend except it felt like the old days again. 💜
Hanging out with you all on the livestream, it reminded me of when this whole journey first started.
We received so many impressive submissions from AI meeting alignment tool (I think this will really help couples) to AI dialysis health tracker. You guys genuinely blew my mind.
Huge congratulations to all the participants and winners. 🏆 Thank you again for spending your time with me. 💜💜
🌻 Interesting Things (I think)
🖊️ Learning
🧠 The Future of Jobs & How We Work
I’ve been diving into this year’s World Economic Forum Future of Jobs Report. If you’re feeling overwhelmed by all the change in AI and jobs market, this report is worth bookmarking. It highlights the roles that are growing fastest, the ones shrinking, and (most importantly) the skills that matter most moving forward.
I’ve also been thinking a lot about how leadership needs to change when teams start working with AI agents. McKinsey has a great article on what management looks like when you’re leading both humans and AI systems.
🤖 AI
🧑💻 Agents
This week I went down a rabbit hole after Google Cloud released a 54-page “Introduction to Agents” document. These ideas stuck with me the most:
The Agentic Loop: Think → Act → Observe
Every agent follows this cycle. It sounds simple, but it’s basically the foundation of autonomy. Reflecting on a goal, taking action, then learning from what happened.
5 levels of agentic systems
1️⃣ Core reasoning
2️⃣ Problem solving with tools
3️⃣ Long-term planning
4️⃣ Multi-agent teamwork
5️⃣ Agents that can create new agents 👀
Agent Ops could be the new MLOps
It’s not just about prompts anymore. It’s about monitoring, debugging, evaluating and improving agents the same way we treat real software. This makes a lot of sense now that agents are being used in complex workflows.
📚 Books
📖 13 things mentally strong people don’t do
I revisited this book recently and every time I pick it up, I’m reminded how much mindset matters especially when the world is changing so quickly.
These ideas hit me this time:
Detaching from things you can’t control
Being okay with discomfort while you grow
Choosing long-term meaning over short-term mood
It’s not a “hype” book, it’s more like a grounding reminder to build emotional resilience alongside technical skills. I think it actually pairs quite well with learning AI!
🤝 Sponsored
Lately, I’ve been thinking a lot about how much AI is changing the way developers actually build.
It’s no longer just about writing lines of code, it’s about orchestrating agents and shipping products faster without losing control of the process. That’s why I’ve been testing out Warp, an Agentic Development Environment (ADE) designed for developers who want to build software that actually matters.
What’s different about Warp is how it handles planning. Before an agent even starts running, it writes out a detailed plan to a notebook and you can edit or steer it before it executes. It’s like having an assistant who tells you exactly what they’re about to do before touching your codebase. 🧠
Users have already launched over 100 million agents on Warp. If you’ve been curious about how AI fits into your dev workflow, this is one of the best places to start.
👉Try Warp’s AI features for free
🎥 This Week’s Video
🎥 This Week’s Livestream
P.S. All constructive feedback is greatly appreciated!
I love your mind and passion.
Tina!!!!