eschnou

This is the little experiment I did here, building an AI-SAST by wrapping CodeQL with an agentic layer. It makes it so easy to use CodeQL that I’m now revisiting past projects and discovering quite a few surprises!

The agent is used to:

- write custom codeql queries based on the code and a prompt

- triage SARIF output and group issues, extract most important ones

- investigate issues for risk, false positive, etc

- prepare pull requests with fixes

Github: https://github.com/eschnou/patchsmith

Blog post with more details: https://blog.transcode.be/patchsmith-ai-codeql-cli/

What other interesting open source tool could benefit from a AI driven UI/UX wrapper layer?

I built a simple tool to help software development teams benchmark their AI adoption (in a AI Native Dev spirit).

Every team says they’re “doing AI,” but maturity levels vary a lot. This tool asks 12 short questions across 6 dimensions (coding, process, governance, people, culture, value). It then gives a 1–5 maturity score, plus a radar chart showing strengths and gaps.

I originally built it for conversations with companies, VCs and dev teams I work with — but I thought it might be useful for others here as well.

I’d love feedback: - Do the questions feel relevant to real-world teams? - What dimensions do you think are missing?

Thanks for taking a look!

PS: Share your scores below and let's discuss how to improve :-)

https://blog.wonderpod.ai/posts/2025/from-local-to-global-mu...

One thing that didn't work are the references. All errored (Information not found).

One thing I missed is the ability to add some custom data. In this case I would have like to give a few points on what my product is, what keywords are important for SEO, what is the spin I'd like to give the post.

However, the issue you will quickly encounter is resources/costs. For a simple mode like llama3-7b you need at least a g5.2xlarge on AWS. If you want a 'chat gpt equivalent' model, you need something like llama3-70b or command-r-plus etc. These will require at least a g5.48xlarge that will cost you $20 an hour

An alternate approach is going hybrid: self-hosted UI which takes care of user access, shared documents (RAG), custom prompts etc but that you hook to a LLM provider where you pay per token (could be OpenAI platform or anything from Huggings).

Let me know if this helps! Also note that I'm lead dev of an open source project addressing these kind of needs: https://opengpa.org - Feel free to jump on our Discord to discuss.

Key features: - Self-hostable ChatGPT-like agent - Extensible with custom Actions for enterprise data/APIs - Built in Java/Spring for easy enterprise integration

I built this to explore agentic AI development and its potential in enterprise software. Looking for feedback, use cases, and contributors.

What challenges do you see in integrating AI agents into enterprise systems? What features would be most valuable to you?

http://cs224d.stanford.edu/

Hence why I'm using combination of a dumbphone (that I must charge weekly) and a 7'' wifi tablet. This gives me best of both world and also makes it easier to 'disconnect' from the twitter addiction while staying reachable for emergencies.

Increasing demand and thus supply, requires increasing use of energy, land, raw material, etc. Which is at some point limited by the physical realities of our world.

There is a limit to growth. Have we reached it?

Huh?? Just because you are a US citizen, you have to pay taxes to the US wherever you live? Is any other country in the world having such policies?

Where did you get that? I'm based in EU and I need a GamePass at 150€ to watch games, or pay 12€ per week.

Last time I tried, I could easily receive mails, but a lot of people complained my mail ended up in their spams. Never managed to configure that part properly thus I gave up.

Many wonder if fake. Not much evidence pointing one way or the other.

[1] http://indiewebcamp.com/

Thanks for taking the time to comment and highlight your concerns on the acronym.