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Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

h2loop.ai

11–20 of 20 posts

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#11
Long ago, I was a system developer. Now I think of it - I feel the whole development / logs / debugging / deploying was all abysmally slow. To even load software via JTAG took about 5 minutes! So there is big room to improve things in this space.

Do you have clients using this now ? how are you thinking to land inside semiconductor-ish corporates ?

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#12
post #11

Long ago, I was a system developer. Now I think of it - I feel the whole development / logs / debugging / deploying was all abysmally slow. To even load software via JTAG took about 5 minutes! So there is big room to improve things in this space. Do you have clients using this now ? how are you thinking to land inside semiconductor-ish corporates ?

Yes rnavi,I have the same experience as well.The complete system software development can be expedited using AI.Yes, we are doing private beta with a Japanese semiconductor conglomerate.We go with a philoshopy like your data, your model and your cloud.We create instruction dataset from their tech spec and code.Everything on-prem.We have partnered with AMD and Nvidia for on-prem GPU deployment.We help them selecting the right small language coding model and deploying it with securely.

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#14

Is this another kind of co-pilot ? what kind of performance improvement you see than the other established copilots in h2loop.

Hey cjtechie,It's not an another co-pilot.Existing coding co-pilot can only do code generation,code comprehension But not allow you to upload your technical datasheet or crash log etc.Most of the coding agents are SaaS based and SOC2, GDPR and even HIPAA certified. However, these certifications do not guarantee data privacy since they are relatively easy to obtain. Moreover, most SaaS make use of third party providers for different sub-processes (LLMs, embeddings, reranking…), resulting in private data being transferred and stored on numerous servers across the internet.privacy-aware coding SaaS services anonymize sensitive data before sending it to AI. This approach combines the ease of adoption and power of SaaS with data privacy. However, it comes with a single point of failure, which is the anonymization algorithm itself.We solve it by genarting coding datsets and finetuning a small open source coding model on-prem.You can compare the response in a side by side view to gpt-4o model in our platform.

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#15
post #12
post #11

Long ago, I was a system developer. Now I think of it - I feel the whole development / logs / debugging / deploying was all abysmally slow. To even load software via JTAG took about 5 minutes! So there is big room to improve things in this space. Do you have clients using this now ? how are you thinking to land inside semiconductor-ish corporates ?

Yes rnavi,I have the same experience as well.The complete system software development can be expedited using AI.Yes, we are doing private beta with a Japanese semiconductor conglomerate.We go with a philoshopy like your data, your model and your cloud.We create instruction dataset from their tech spec and code.Everything on-prem.We have partnered with AMD and Nvidia for on-prem GPU deployment.We help them selecting t…

.. and how does it fare with devin/cognition etc - have not tried them just youtube videos.

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#16
post #15
post #12

Earlier quoted context omitted.

Yes rnavi,I have the same experience as well.The complete system software development can be expedited using AI.Yes, we are doing private beta with a Japanese semiconductor conglomerate.We go with a philoshopy like your data, your model and your cloud.We create instruction dataset from their tech spec and code.Everything on-prem.We have partnered with AMD and Nvidia for on-prem GPU deployment.We help them selecting t…

.. and how does it fare with devin/cognition etc - have not tried them just youtube videos.

Devin and Cognition are great as co-workers for application software. They're proficient in JavaScript and Python and excel at solving logical problems in software. However, they aren't trained in or familiar with system software, which typically runs on physical devices and requires verification against technical specifications for programming.

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#17
very cool! ive been using chatgpt for OS dev, to summarize specs and try to make bulletpoints for stuff todo etc. but its a nightmare :'). 100k documentation pages is a pain to chew through to find what u need and can be hard to read :/. will definitely give it a whirl!

update: tried some basics questions on general stuff during the boot phase. its really nice honestly. that stuff to looong to figure out 10 years back :') all the examples etc. are usually for unix type stuff. chatgpt mixes and mashes tons of things so its basically unusable. this gave some really nice pointers, good structures and mixes a bunch of complex topics into quite coherent responses which so far dont disagree with what ive managed to pick up. amazing!

Re: Show HN: AI co-worker for system software development (Rust,C,C++,pdf)

#18
post #17

very cool! ive been using chatgpt for OS dev, to summarize specs and try to make bulletpoints for stuff todo etc. but its a nightmare :'). 100k documentation pages is a pain to chew through to find what u need and can be hard to read :/. will definitely give it a whirl! update: tried some basics questions on general stuff during the boot phase. its really nice honestly. that stuff to looong to figure out 10 years bac…

Thanks for validating the pain point..I was also using chatGPT.It's was a pain.We are building something really big to solve the problem of the system developers.Stay tuned.
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