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The evolution of software engineering from FORTRAN to LLMs: With an in-depth look at major AI coding milestones


Implementing magic link authentication using Replit for our new and improved data room app.


I'll release the source code once I have the auth flow added.


Thanks for your feedback! I agree that I shouldn't have called commits checkpoints. That was lazy, I'll fix it.

Could you please tell me more about your bug tracking flow and what tools you use?


I wrote about some vibe coding observations and best practices. I'd love to hear your feedback.


Check out this survey of cross-company data transfer and sharing methodology.


Data exchange is integral to every business partnership. Yet data exchange practices today are highly manual, prone to data leaks, difficult to validate, inherently impossible to monitor, and costly to audit. We're building General Folders to enable secure, secure, and auditable data exchange.


In this post, I present a framework to help understand how some enterprise products make it and become market darlings.

I also talk about how to think about the difference between bundled products like Notion vs universal products like Excel.

See more examples and discussions throughout!


Nice post, still looking it over, but like the format.

Three questions for now; please feel free to ignore any you’re not interested in replying too:

(1) As the title states, topic is enterprise B2B product development. Have you seen any similarly formatted posts on consumer product development? If not, based on your experience what are the likely most common major differences?

(2) Clearly you’re actively practicing B2B product development and as noted in footer got feedback, but curious if you did any research specifically for the post and anything notable that inspired the post and/or patterns you noticed that were helpful in doing research; for example, noticed when research overly broad topics, like B2B sales, that appending “table of contents” was frequently useful.

(3) Are you aware of any open source projects that openly manage product development? Related to question already posted here:

- https://news.ycombinator.com/item?id=32676919


Thank you for reading!

(1) I haven't but I'm sure there are many blog posts covering methods to build enterprise products people want. With respect to this particular categorization, I haven't seen one. Ones I've seen usually tackle a single category. For example, they will talk about when bundling is the right choice vs not. Or how to make it easy for customers to buy a product via PLG, etc.

(2) I should add a list of references for articles that might have inspired this post. There wasn't any direct reference that I was building upon. Most of these ideas come from my observations as a user and now as a builder of these products.

(3) I am not, and would be interested to know more!

Thanks again for reading!


Thanks, so after reading over the post, one thing I noticed was how to take a specific category, for example, configurability — and build it out based on real customer demand. While might not be what you meant, one example would be reporting systems that basically let an end user build a report for anything. If you’re asking customers if they want it, frequently they well say yes, but regardless of if they know how to use it, frequently only build fix set of reports and never make adhoc reports. So, not expecting you to answer, but the question is, how do you identify if XYZ request is real, validate it, onboarding for customer success is appropriate, and kill it off correctly if users don’t use it to avoid pilling on tech debt.

Next, actually remember seeing customer feature request trackers and found a few, though have tried to find someone actively managing these in the open:

https://sourceforge.net/software/compare/Canny-vs-UserVoice-...

Again, thanks — good luck getting your startup going!


Thank you!

I guess the post doesn't get into "how" to optimize across each vector, but rather "what" those vectors are in the first place.


Can you share a bit more about your motivation writing and what drove you to the topic?


I would start here: https://djpardis.com/


Thank you!

I've been recently working on a new enterprise product and so was following the conversations and critiques about the existing products closely.

Some of the conversations on bundling and unbundling in the data tooling space, was what really got me to start writing the post. Here's a thread on some of those conversations: https://twitter.com/djpard1s/status/1563365541720444930?s=20...

My ultimate goal with the post is to add some structure to some of those discussions as we all build in the space.


Data toolmakers and the larger data community have long been reclaiming water terms to refer to products, services, actions, and concepts.

I wrote a post, gathering a list of fifty-three terms shared between the two domains. Please take a look and let me know if there is anything missing.


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