It will truly bring a breath of fresh air to the embedded development
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@ozkaya anyone who has spent hours digging through stm32 datasheets for pin assignments knows this pain. ai suggesting optimal configurations based on peripheral requirements is a huge time saver.
cubemx import is smart. most embedded projects already have ioc files so migration is easy.
one click compile and flash without external tools is what the stm32 workflow always needed.
two questions: does it support other stm32 series beyond m4 and m7 like f1, f0, g0? and which ai model powers the pin suggestion feature?
Yes we absolutely support other series beyond M4 and M7 including F1, F0, and G0. We are also working hard every day to expand our hardware compatibility even further.
On the technical side, we are currently leveraging the Claude infrastructure for our pin suggestion engine. However, we are in the middle of fine tuning our own dedicated model specifically for embedded systems. We’re planning to transition to our proprietary model very soon to provide even more precise and hardware-aware suggestions. Stay tuned
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This idea sounds interesting! I’m sure it will bring so much value to embed development. What models you supported currently?
Devlop Ai
@ozkaya anyone who has spent hours digging through stm32 datasheets for pin assignments knows this pain. ai suggesting optimal configurations based on peripheral requirements is a huge time saver.
cubemx import is smart. most embedded projects already have ioc files so migration is easy.
one click compile and flash without external tools is what the stm32 workflow always needed.
two questions: does it support other stm32 series beyond m4 and m7 like f1, f0, g0? and which ai model powers the pin suggestion feature?
Devlop Ai
@topfuelauto Great questions,
Yes we absolutely support other series beyond M4 and M7 including F1, F0, and G0. We are also working hard every day to expand our hardware compatibility even further.
On the technical side, we are currently leveraging the Claude infrastructure for our pin suggestion engine. However, we are in the middle of fine tuning our own dedicated model specifically for embedded systems. We’re planning to transition to our proprietary model very soon to provide even more precise and hardware-aware suggestions. Stay tuned