Discover how AI coding agents are revolutionizing embedded software development, CI/CD workflows, and DevOps practices for resource-constrained systems.
Autonomous development tools that understand embedded constraints and optimize for performance. Learn how AI agents assist with code generation, unit testing, refactoring legacy firmware, and navigating complex hardware abstraction layers—all while respecting memory limits and real-time requirements.
DevOps strategies for resource-constrained devices, from ARM Cortex to RISC-V processors. Explore techniques for managing build environments, cross-compilation toolchains, debugging on target hardware, and handling the unique challenges of bare-metal and RTOS-based development in modern DevOps workflows.
Streamlined pipelines for firmware deployment, OTA updates, and hardware-in-the-loop testing. Discover best practices for automated build systems, continuous testing with emulators and real hardware, version control for firmware artifacts, and secure deployment strategies for IoT and edge devices.
Deep dives into AI-powered DevOps tools, embedded system optimization, and industry trends.
*Interested in diving deeper? Stay tuned for upcoming posts on AI-assisted hardware-software co-design workflows and predictive maintenance techniques for embedded IoT systems.*
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