Build & CI Acceleration

Your Developers Shouldn’t Wait 45 Minutes for a Build. Here’s the Fix.

As embedded software programs scale – more ECUs, more safety-critical modules, larger C++ codebases – build and CI times become a direct drag on release velocity. A team running 45-minute compile cycles loses 4 to 6 developer hours per person, per day to idle wait time.
Spark Magic’s build acceleration portfolio cuts that to under 5 minutes for programs that previously ran 40+ minutes.

Incredibuild

Cut C++ and Embedded Build Times by Up to 90% with Distributed Compilation

Incredibuild distributes C, C++, and build tool workloads across idle CPU cores already present in your network – on-premises or cloud – without requiring source code changes or toolchain modifications.

Embedded development teams using GCC, Clang, MSVC, or vendor-specific compilers consistently report 80-90% reduction in clean build times after deployment.

Key capabilities:

Transparent integration with Visual Studio, CMake, SCons, Ninja, Makefiles, and custom build systems
Works with Yocto, Buildroot, and embedded Linux cross-compilation pipelines
CI/CD integration with Jenkins, GitLab, Azure DevOps, and Kubernetes clusters
On-premises, cloud (AWS/Azure/GCP), or hybrid deployment
Available as SaaS or perpetual licenseSpark Magic deploys Incredibuild into automotive, industrial, and large-scale embedded C++ programs – including full Qt build acceleration and Yocto-based embedded Linux programs.

CI Pipeline Optimization

Beyond Compilation: Test Selection, Caching & Parallelization

Incredibuild handles compilation acceleration. Spark Magic also helps embedded programs implement intelligent CI caching strategies that address the full pipeline

Build artifact caching – skip unchanged module compilation entirely
Dependency graph optimization – identify and eliminate redundant rebuild triggers
Test impact analysis – run only tests affected by a specific code change, not the full regression suite
Parallel test execution – distribute test workloads across available computeFor embedded Linux and Qt-based programs, our CI optimization engagements deliver measurable pipeline duration reductions and infrastructure cost improvements across Jenkins, GitLab CI, and Kubernetes environments.

CI Pipeline Acceleration

Speed up software delivery lifecycle with higher reliability, intelligent caching, and parallelization and distribution.

End the issue of sluggish Kubernetes deployments by creating faster pipelines with smart caching strategies and reducing build time. Dynamic dependency tracking leads to reduced resource usage, optimization of costs, speedy iteration, and faster deployment.