AI in transportation: Implementation examples and best engineering practices
AI in transportation is bigger than self-driving demos and chatbots. Explore use cases, real-world examples, and main engineering challenges behind its deployment.
Why automotive IoT is harder than it looks – and what makes it work
Automotive IoT is more complex than it looks. Explore real-world use cases, challenges, and connectivity stack based on projects from Bamboo Apps and other market players.
From phone to car dashboard: HMI apps development in 2026
For years, the car screen acted as a mirror for the smartphone. Platforms such as Apple CarPlay or Android Auto projected selected mobile apps onto the dashboard. While the phone handled the logic, the car display served as a controlled interface with strict design limits. That model still works for many vehicles. Yet, the automotive…
Choosing an automotive software company. What leaders look for
At major automotive industry forums, the conversation around vehicle software has become remarkably consistent.
Automotive software development in 2026: new skills, stacks, and roles
An expert interview on automotive software development in 2026, covering SDVs, AUTOSAR Adaptive, AI, Android Automotive, and key developer skills.
Connected car features that actually improve driver experience (and those that don’t)
Connected vehicles are often described as the next big leap for the industry after electrification. But it comes with a paradox: surveys show that while half of drivers are ready to switch to cars with smarter features, frustration with these features is also on the rise. Some of them feel genuinely useful, while others come across as inconvenient, redundant, or solving problems drivers never had.