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This is a demo I build with the acorn framework that checks if a Show HN project is ready to be adopted in prod.

Checks GitHub maturity markers (LICENSE, CONTRIBUTING, tests, CI/CD) and mines HN comments for technical concerns. Returns a Production Readiness Grade (A–F).

Free to use, but you might get rate limited by the model provider. You can also use your own keys to test it out.


If people are looking for a free free geo ip service I I built this project some time ago: https://github.com/onel/freegeoip

You can deploy it and run it for free on Google app engine. Only works for requests that come from the client directly. So you can't ask for a specific IP.


Have you been using it? How useful do you find it?


I am a software engineer, but I think code pales in comparison to the impact of every book, speech and essay had on our society throughout history.


https://github.com/askmanu/acorn

A straightforward and simple AI agent framework. It puts a lot of emphasis on the loop and the steps in that loop. You can change in real time the model, the temperature, the tools, the history. You're also able to spin-off work on a branch and then add the result of that work on the main branch. Still early but developing very fast.


I notice you mentioned dspy - do you also support prompt optimization?


The biggest unlock for me happened because of claude code. It has allowed me and my team to ship features much faster. I use it to work on the main product, but also to build a lot of in-house tools. We have observability and testing tools for our AI agent that helps us improve the main product. With Claude we can iterate much faster on them and add the features that we specifically need. And not use off-the-shelf products. These are not user facing products/code bases so maybe the quality bar is not that high. But without claude we would have taken resources away from working on the main product to build them.

Testing is no yet the main focus, so we haven't looked into automating that. But we will in the future. We have automated most of our documentation updates though. After releases or big merges we use askmanu to automatically update/create the docs. These are internal docs, but super useful for us and Claude.

Disclaimer: I'm the founder of askmanu


That is not true, though. You have to opt in for them to train on your data


I've built an agent that builds documentation for code bases and you are 100% right. Having big picture documentation is important, but having bite size explanations about why some components work a certain way is more important. Making sure the AI doesn't have to infer behavior from code is really powerful. Even going as low level of reference docs. Even though devs would prefer that a method be self-Explanatory, it helps to also have plain english explanation about what's happening in a class or method.


I'm building a way to automatically keep code base documentation updated. https://github.com/apps/askmanu

Right now we're focusing on reference docs and soon the app will be able to write full documentation content.

We want to focus on incremental changes to docs (one PR at a time) so the content is easy to verify and merge.


This is brilliant. Nice work


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