Codembit Oy provides software engineering services to support customer software projects. Our core competence is embedded systems related software development.
The company was founded in 2022 by Toni Akkala to provide software engineering services. We have 20 years of experience in working with embedded systems using different microcontrollers, operating systems and bare metal firmware. We can help our customers in every phase of their project and use modern agile development methodologies and practices.
If you are looking for someone to help you with your software development, please contact us by sending your information to the following address and we will get back to you as soon as possible: info(at)codembit.com
We try to visualize our competence by introducing technology and software development related blog topics. See the latest blog posts from the blog page.
In the ever-evolving landscape of technology, Artificial Intelligence (AI) is making significant strides, transforming various industries, including software development. By integrating AI into the development process, businesses can enhance productivity, improve code quality, and accelerate time-to-market. Here's how AI is revolutionizing software development and why you should consider leveraging it for your projects.
In my previous post, I was setting up the environment to build and debug embedded Rust applications using STM32F0 discovery kit and vscode. In this post, I continue learning Rust in more detail and try to understand some of the concepts I was already using related to embedded development with Rust.
Some time ago, I was reading the Rust book to learn the differences between Rust and other programming languages. Because Rust is getting popular also in embedded systems, I wanted to setup an environment to practice programming embedded devices by using the Rust language. I had already browsed through the embedded Rust book and noticed that I had a similar development board that was used as an example in that book. This post covers setting up the environment to build and debug embedded Rust applications using STM32F0 discovery kit and vscode.