Our CISO @mdorsi gets real about AI training. The principle is simple: no one should train on your code without your say-so.
🔹 No selling your code or content.
🔹 No AI training without an explicit opt-in.
🔹 Your work is yours.
We're here to help you build.
https://t.co/9KR5LcvvBH
A product that (almost) everyone uses from mid-sized tech companies and up but I rarely hear talked about: Grafana
In The Pragmatic Engineer 2025 survey, it had more mentions than Cursor, and dominates as the answer to "how do you turn information into graphs"
This is Grafana:
Hers's a tactic I use when Stakeholders come with solutions, NOT problems.
Don't work backwards, work forward.
What do I mean by that?
Commonly when a stakeholder comes w/ a solution we try to get them to work backwards to the problem.
But for some this is a stretch.
3/ Here's what actually works:
Before touching OKRs, answer these questions:
• What unique value can we deliver?
• Where do we have advantage?
• What capabilities do we need?
• How will we build them?
THIS is strategy. OKRs measure progress against it.
A PhD student used both Claude and Gemini as an AI therapist.
She vented her frustrations around getting a cancer diagnosis, and joked about how much it was costing the healthcare system.
The difference in responses is staggering.
@graceongrid Just finishing up a project for a nutritionist who offers different packages for her clients. We used @visualelectric to create some abstract artwork to represent each health goal!
I wanted to share the following 10 Tailwind techniques. These will come in handy next week.
For those who don’t use Tailwind, here be dragons!
1/10 - Let’s start simple. Set a CSS variable (width) based on state and use an arbitrary className.
Back to Kaifeng, the sheer mass of sharebikes on the weekend has lead to oceans of bikes parked all over Kaifeng. Many people took regional rail, buses, slugged taxis back to Zhengzhou or directly headed home on High Speed Rail from Kaifeng leading to complaints. Not my pics.
THE BEST visual explainer of how information propagates through a transformer.
If you want to have more than intuition about how the Transformer architecture is ruling the LLM world
→ open-source project explains everything about LLM Transformer Models!
→ A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including:
→ Self-attention mechanisms
→ Encoder-decoder architecture
→ Positional encoding
→ Multi-head attention
I had the chance to chat with the amazing @ridd_design about a bit of my journey and why I believe the future is builder > product designer.
Watch here - https://t.co/qOtYK3EoZJ
Pro tip for using Cursor that’s been a game changer for me: At the end of each feature build, ask Cursor to give you the full technical flow of what was implemented.
Start maintaining technical docs from the beginning. It gives you a clear roadmap of how things work and helps Cursor make smarter decisions down the line.
every AI power user I talk to has some workflow hack they think is obvious
eg: for me its voice. 10x faster for prompts than typing
what's your "obvious" AI workflow that others should know about?
A lot of exciting new hardware products I’ve come across recently.
Some of my favorites are Spout, Pawport, Casio, and SwitchBot.
Check out the latest updates and innovations: