GitLab uses this demo to show how its DevSecOps platform unifies planning, source code management, CI/CD, security and compliance for embedded and firmware teams. Instead of stitching together separate tools, development, security and operations share one pipeline that builds, tests, scans and packages releasable device software images for microcontrollers and Linux-based edge hardware. https://about.gitlab.com/platform/
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Field CTO Darwin Sanoy walks through an embedded workflow built around merge requests as the single source of truth for each change. Policy-based pipelines attach relevant static and dynamic security findings, surface only issues in the code that changed, enforce approval rules and block merges when risk thresholds are exceeded. For embedded teams, this shift-left DevSecOps approach shortens cycle time between iterations while preserving traceability for audits and regulated work.
A central theme is bringing real hardware into the CI loop. GitLab Runner on a backpack PC controls a pet-toy robot dog and boards such as Raspberry Pi Pico and Raspberry Pi 5. Firmware is compiled and flashed as part of the pipeline, then Robot Framework tests validate behaviour on the physical device before results flow back into the merge request. The same pattern underpins GitLab’s on-prem embedded device cloud, which allocates boards on demand for software-in-the-loop and hardware-in-the-loop testing and returns them to a shared pool when jobs complete.
The interview also highlights GitLab’s AI capabilities, which extend beyond code generation. AI assistants integrated across the platform can explain failing CI jobs, unfamiliar CI YAML or inherited C/C++ code, and suggest next steps directly inside merge requests, IDEs and logs. For embedded specialists who are not full-time DevOps engineers, this AI layer lowers the barrier to adopting robust CI/CD and security practices without replacing human review.
Recorded at Embedded World North America 2025, the session shows how GitLab can sit at the centre of an embedded organisation’s tooling, treating every firmware build as a releasable artefact rather than an ad hoc binary. With policy-driven pipelines, device-cloud style hardware orchestration and platform-wide AI assistance, the same workflows can support pet toys, industrial controllers or IoT gateways. It is a practical view of DevSecOps applied to real boards on a busy trade-show floor instead of a slide-only deck.
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