Hey everyone,

I actually spent some time on it, researching the best practices, and tried hard to make it a useful reference for the future, than just another marketing blog.

Feedback on any improvement of the technical limitation, and just the language would be appreciated .

Also would love to understand anything that people do thats different than whats covered in the blog.

where did you migrate away to?

@dang now that he has made his point, shouldn't the thread be made undead?

My snark shall never be resurrected, lest it thirst for brains.

What does Peec AI, do differently than Profound, Athena and a 100+ other tools in this space?

I guess, we can all be a little supportive than putting our competitors down, the market is too big

> putting our competitors down I did not put anybody down. I am surprised people still start to build in this very crowded space. I was genuinely hoping for a unique twist/idea - like a focus on local, on non-western LLMs, etc.

But it seems that is not the case.

I am sure you meant well, but it was your word-choice. Show some grace to the founders trying to build stuff. Its easy to nit-pick ideas and execution. You could have ask the same thing politely.

Focus on local, non-western LLMs, is not a unique differentiation, I am sure Peec can implement it tomorrow, if you guys want to.

Or were you only looking for differentiation so you can build it at Peec.

If two products are solving the same problem, eventually they will converge on the same feature-set. You should know that better.

congrats on the launch, lots of competition in this space. (leap.new, replit etc). Even convex has their own app-builder.

thank you! There’s definitely a lot happening in this space, our focus is on making backends secure, robust, and understandable rather than just black-box codegen

do you guys have any blog posts technical releases, around LLM security?

just released https://changeloghub.com,

it automatically creates changelog pages from github PR commits. Still trying to nail down the PR diff to changelog generation, mostly context issues. Rn, I basically summarize each diff and then give that as a context for AI to generate structured changelogs. Works well for smaller diffs, larger diffs loose context.

its free, feedback would be appreciated

video showing how it works

https://youtu.be/bntgkZGncZ4

I will post this in defence of speed.

https://jsomers.net/blog/speed-matters

Can someone help me understand the value of this? I've build a vibe-coding product, and the existing model (both claude and openai) work well enough in apply. Its all a function of prompting/context.

it really matters when you care deeply about the product experience. The gap between something that works sometimes and something that works great everytime is what separated Cursor from the rest.

Try it out: https://morphllm.com/dashboard/playground/apply

I think both maybe using customers very loosely :)