Show HN: AI co-worker for system software development (Rust,C,C++,pdf)
H2LooP.AI accelerates system software development by converting unstructured data into structured datasets for model fine-tuning, offering tools for debugging and emphasizing user control over data and models.
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H2LooP.AI offers a solution for accelerating the development and debugging of system software by converting unstructured technical specifications, design documents, and code into structured datasets suitable for model fine-tuning. The platform addresses common challenges faced by developers, such as ineffective recommendations from tools like GitHub Copilot and the lengthy process of debugging system issues. H2LooP.AI enables users to prepare training datasets, build coding models that comprehend technical specifications, and deploy these models in a secure and cost-effective manner. The service includes tools for uploading crash logs to expedite debugging. H2LooP's approach combines AI with human oversight to produce high-quality, pre-vetted training datasets tailored for software development. The company emphasizes the importance of user control over data and models, promoting a philosophy of "Your data, Your LLM, Your cloud." The H2LooP team consists of experienced engineers specializing in platform and system software engineering, positioning H2LooP as a leading AI tool for system engineers.
- H2LooP.AI converts unstructured tech specs and code into structured datasets for model fine-tuning.
- The platform helps prepare training datasets and build coding models that understand technical specifications.
- It offers tools for faster debugging by allowing users to upload crash logs.
- H2LooP emphasizes user control over data and models for secure deployment.
- The team comprises seasoned professionals with expertise in system software engineering.
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8 commentsDo you have clients using this now ? how are you thinking to land inside semiconductor-ish corporates ?
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!