I would add to your great post that the changes in market and personal needs as world change and the importance one the role of data which play now in the world. So developers should change and get more professional at least in fields of ML, LLM.
Also, these apps should have a no code editor mode for regular people with 0 dev experience. The current desktop experience is not the most ideal and they could just ask the users about their developer experience at the start and taylor the UI experience accordingly (replit had a better UI for this compared to bolt.new but a worse AI agent)
This is a great point. A more adaptive UI based on user experience levels could make these tools much more approachable. Ideally, we'll see more tools bridge this gap - giving non-devs an intuitive entry point while maintaining power for advanced users.
I was already cautiously optimistic about the role of AI in software engineering, but you've shown me a whole other facet of this revolution that I really like!
Interesting perspective, thanks! I am however skeptical that this area will develop beyond personal TODO/notes and basic apps (basically anything you can already do with something like Notion)
Loved the take on personal software in this post. Fresh perspective that is not doom and gloom.
I used Replit over the weekend and I was impressed. With no experience in front end, I could build a fullstack app for myself. I don't want to or need to sell it.
The hard part is going to stay focused on one app 😀
the more i see the AI development work develop, i am personally so confused what direction i should go in and what should i improve on. Solution mentioned in the article are good but still have kinks and even something a bit complex trips them up. I as a software engineer with a bit of experience under my belt has no idea what i should improve on :( (apart from communication skill and documentation writing aspects or other soft skills).
You're not alone in feeling this way. AI is evolving fast, and even experienced engineers are figuring out where to focus. While communication and documentation are great skills to refine, I'd also look at higher-level problem-solving, system design, and how to guide AI tools effectively. AI-assisted coding is shifting the skillset from "writing every line" to "orchestrating and validating outputs."
I would add to your great post that the changes in market and personal needs as world change and the importance one the role of data which play now in the world. So developers should change and get more professional at least in fields of ML, LLM.
Also, these apps should have a no code editor mode for regular people with 0 dev experience. The current desktop experience is not the most ideal and they could just ask the users about their developer experience at the start and taylor the UI experience accordingly (replit had a better UI for this compared to bolt.new but a worse AI agent)
This is a great point. A more adaptive UI based on user experience levels could make these tools much more approachable. Ideally, we'll see more tools bridge this gap - giving non-devs an intuitive entry point while maintaining power for advanced users.
I was already cautiously optimistic about the role of AI in software engineering, but you've shown me a whole other facet of this revolution that I really like!
Interesting perspective, thanks! I am however skeptical that this area will develop beyond personal TODO/notes and basic apps (basically anything you can already do with something like Notion)
Why?
Loved the take on personal software in this post. Fresh perspective that is not doom and gloom.
I used Replit over the weekend and I was impressed. With no experience in front end, I could build a fullstack app for myself. I don't want to or need to sell it.
The hard part is going to stay focused on one app 😀
Great post👍
Much appreciated!
Good article 👍
Thank you!
the more i see the AI development work develop, i am personally so confused what direction i should go in and what should i improve on. Solution mentioned in the article are good but still have kinks and even something a bit complex trips them up. I as a software engineer with a bit of experience under my belt has no idea what i should improve on :( (apart from communication skill and documentation writing aspects or other soft skills).
You're not alone in feeling this way. AI is evolving fast, and even experienced engineers are figuring out where to focus. While communication and documentation are great skills to refine, I'd also look at higher-level problem-solving, system design, and how to guide AI tools effectively. AI-assisted coding is shifting the skillset from "writing every line" to "orchestrating and validating outputs."
Sounds like Geocities but for small applications. I think that's a good thing.
Thanks for this! Great perspective, as always!