Picture this: You've scheduled a Design Thinking workshop. The team is assembled, the whiteboards are ready, and everyone's excited to innovate. But then... silence. The dreaded blank page syndrome strikes, and your first hour disappears into tentative brainstorming and surface-level assumptions.

Colab Jetpack doesn't have to replace the process. Use it to conduct interviews before the workshop and let it do the hard work of getting a baseline to work from.
More about this process here:
https://colabjetpack.com/blog/do...
Would this be helpful to your team?

Colab Jetpack supports both interview types. Which do you prefer?

I recently hit a weird kind of burnout not from overworking, but from being constantly online.

Between coding, Slack, Twitter, YouTube, and checking analytics, my brain never really rests.

Even when I take a break, I open another app.

The @v0 by Vercel team recently dug into industry trends to publish the first State of Vibe Coding report.

My key takeaways:

1. Everyone can build: 63% of vibe coding users are non-developers, generating UIs (44%), full-stack apps (20%), and personal software (11%).

2. Adoption is everywhere, with significant adoption rates in APAC (40.7%), Europe (18.1%), North America (13.9%), and LATAM (13.8%).

3. 92% of US developers use AI coding tools every day

4. 30% of new code at @Google is generated by AI

5. 25% of @Y Combinator startups rely on AI-generated code

6. Rapid expansion has a cost. Vibe coding apps keep hitting vulnerabilities: exposing secrets, access misconfigurations, hardcoded credentials.

7. The future: going mainstream or hitting its sweet spot in working MVPs, the vibe coding trend is here to stay, and it's happening now.

I ve been here for almost three years, and over time, I ve started to see this platform as a social network.

I know that many people come to launch their products and, due to time constraints, do not have time to establish a strong presence here, but I m glad some regular users focus on building the community.

I m curious what you all devs and founders are relying on day-to-day in 2025. With the flood of new ai tools, it feels like every tool looks different depending on industry and workflow.

• What s ai tool working well for you right now?

• Which AI tools actually save you time?

• Which ones did you try but drop?

Would love to see how other folks are stacking their tools this year.

I'm super curious how everyone starts to vibe code? In the beginning I would simply jump into @bolt.new or @Cursor and just do a prompt and continue refining with the AI. I quickly realized this created a lot of issues as I didn't think about the structure, tech stack, and how I wanted the features to interact with each other and how the way I was building things would impact the user experience. I now do the following:

• Write down a simple problem statement: "what am I trying to solve?"

• Write down a simple solution statement: "what does the thing I'm building do (to solve the problem)"

• Share the above with @ChatGPT by OpenAI and word vomit my thoughts, ideas, how I want the user to interact with my app, etc and ASK ChatGPT to turn everything I said and want into an easy to understand directive and instructions for an Engineer.

• I then take the Engineer instructions and give it to a new chat in ChatGPT and ask it to turn those instructions into a prompt for an AI engineer and to break up the project into sections so that each time we focus on a section the app is shippable and keeps things easy to work on.

• I take the output and paste it into my notes. I then give it to Cursor.

• Once in Cursor, I create a new project folder and got at it!

Curious what everyone else does and if you've experience any things to avoid or must do

I'm super curious how everyone starts to vibe code? In the beginning I would simply jump into @bolt.new or @Cursor and just do a prompt and continue refining with the AI. I quickly realized this created a lot of issues as I didn't think about the structure, tech stack, and how I wanted the features to interact with each other and how the way I was building things would impact the user experience. I now do the following:

• Write down a simple problem statement: "what am I trying to solve?"

• Write down a simple solution statement: "what does the thing I'm building do (to solve the problem)"

• Share the above with @ChatGPT by OpenAI and word vomit my thoughts, ideas, how I want the user to interact with my app, etc and ASK ChatGPT to turn everything I said and want into an easy to understand directive and instructions for an Engineer.

• I then take the Engineer instructions and give it to a new chat in ChatGPT and ask it to turn those instructions into a prompt for an AI engineer and to break up the project into sections so that each time we focus on a section the app is shippable and keeps things easy to work on.

• I take the output and paste it into my notes. I then give it to Cursor.

• Once in Cursor, I create a new project folder and got at it!

Curious what everyone else does and if you've experience any things to avoid or must do