I am not an engineer, I can't look at code and determine if it is good, performant, or elegant. However, I can look at designs and make a judgement. I'm curious to see how Claude Design changes how I think about AI and its capabilities.
I don’t think this is a spicy take at all. A PM’s job is to prioritise, and the most important/high priority projects will naturally be handled by Engineers enabled with AI-coding workflows. The high priority/impact work should be allocated to the folks with the highest level of skill.
I feel like PMs coding unlocks a whole new category of work, mainly addressing the long tail of cool ideas/small optimisations that ordinarily would not be addressed. Time will tell how valuable these items are in the long term.
I have been working on a web app called Beval - Simple evaluations for your AI product.
In my day to day as a Product Manager working in a team that ships AI products, I often found myself wanting to do 'quick and dirty' LLM based evaluation on conversation transcripts and traces. I found myself blocked by 'Gemini in Google Sheets', it was too slow and cumbersome, and it didn't handle eval changes well. And because I was exploring, it wasn't helpful to try and set up something more robust with the team.
To fix the problem I eventually learned to call the OpenAI API in python, but I really felt that I wanted a 'product' to help me and potentially help others.
Personally I find this kind of approach infantilizing. I don't think it's fair to have an expectation of yourself or of your colleagues to spell out in Google Calendar what you/they are spending their time doing throughout the day. People should look at gaps in people's diaries not as opportunities for new meetings, but as time someone is probably spending doing something important or interesting.
Honestly, I'd suggest a prioritsation matrix here.
Classify all the tasks with an impact / ease score from 0-5. Multiply the numbers together to understand the relative priority of each item.
It won't be perfect but it will a good place to start.
You also do this at a product level instead, and invest all your time onto one product to begin with. This might reduce your switching costs working between projects/products.
I’m an Obsidian user. I pay for Obsidian sync, and I love the philosophy behind their product. However, and I feel stupid for saying this, but I just find it confusing to use. It’s difficult for me to wrap my head around plugins, and understanding how it wants me to use it.
For now, I’m just sticking to using it for daily notes, but I feel there’s so much I’m missing.
Former Product Marketing Manager here. When I saw the word 'designs' on your landing page, I assumed the application would convert my screenshot into a Figma file/equivalent. Instead it looks like your app creates social ready images of screenshotted UI. I wonder if there's a better word to use than 'designs' that better captures what looks like the intended use case.
It's incredible to me how much worse this web page is than a comparable Apple one. Just from a cursory glance, I've seen some late loading elements, weird and confusing pricing before I've even seen the whole phone, and a weirdly masked and slightly pixelated video.
Slack must be happy that AI + LLMs came at a moment where the novelty of their product seemed to be wearing off, and similarly to how people now think about email, Slack seems to (sadly, in my opinion) be gaining a reputation as a place for noise, busywork, and distraction. AI can solve those problems (a second time, as Slack was designed to make workplace communication more efficient).
> Maybe for things like "ship war rooms" for product launches, or during holiday sale event for e-commerce websites?
That's interesting. If the use case is meant to be during one-off or exceptionally busy periods, do you anticipate team members having these on their desks the whole year round?
> This finding suggests that the key to a high score isn’t necessarily landing viral hits, but rather consistently sharing stories.
This is interesting. I find it's very difficult to predict which links do and don't perform on Hacker News, resulting in quite a diverse (to me at least) series of stories. Thanks for the analysis.
I just left a (non-engineering) role where I was a people manager of 7. It was great at first but I genuinely felt my skills atrophying, so I left to join a much smaller and flatter team.
I know HN is can sometimes come across as 'management-phobic', and having been on that side of the fence there is a lot value that can be added by managers.
That said, I do wonder how many of these managers who have been asked to become ICs might actually be relieved. In an increasingly competitive economic environment, some could see this as a good thing.
Thank you for sharing this. As a non-engineer but a bedroom guitarist, this video was helpful for me to grasp how impressive ChatGPT is, but also helped me understand the level of human input is necessary to create a useful result. I think I counted 30+ iterations and maybe around 3 hours of time expended by the creator of the video.
Very true.