Top 10 Tips to Get the Most Out of Compile PlusCompile Plus is a powerful build tool designed to speed up compilation, reduce iteration time, and streamline large-scale development workflows. Whether you’re working on a single developer machine or coordinating builds across a CI cluster, these ten practical tips will help you extract maximum performance, reliability, and developer productivity from Compile Plus.
1) Understand how Compile Plus works
Before optimizing, get a clear picture of Compile Plus’s architecture: its caching layer, dependency graph, parallel execution engine, and remote execution/caching features. Knowing which parts handle file change detection, which parts are network-bound, and which are CPU-bound lets you focus optimization efforts where they matter.
2) Enable and configure caching correctly
Compile Plus’s local and remote caches are central to speedups.
- Use local caching for fast iteration on a single machine.
- Configure remote caching for shared artifacts between developers and CI.
- Set appropriate cache size and eviction policies so frequently used artifacts remain available.
- Ensure cache keys are stable (avoid embedding timestamps or machine-specific paths).
3) Use fine-grained dependency declarations
Explicit, minimal dependency lists let Compile Plus avoid unnecessary rebuilds.
- Break large modules into smaller, well-defined components.
- Declare header-only or interface-only dependencies where appropriate.
- Prefer explicit file-level dependencies when the build system supports them.
4) Parallelize builds thoughtfully
Compile Plus can execute many tasks in parallel, but you need to balance resources.
- Set concurrency to match available CPU cores and IO bandwidth.
- Reserve headroom for other processes (IDEs, tests).
- For remote execution, size worker pools to avoid queuing delays while keeping resource costs manageable.
5) Optimize input/output patterns
IO can become a bottleneck, especially on network file systems.
- Use fast local SSDs for build working directories or symlink the build outputs to local storage.
- Minimize unnecessary file writes during compilation (e.g., temp files).
- Aggregate small file writes where possible.
6) Leverage remote execution and remote caching
For large teams and CI, remote features dramatically reduce wall-clock build time.
- Use remote execution for expensive, parallelizable compile steps.
- Configure authentication, access control, and resource quotas to prevent abuse.
- Monitor remote cache hit rates and tune which artifacts are uploaded.
7) Profile builds and fix hotspots
Data beats guesswork.
- Run Compile Plus’s built-in profiler or tracing to find long-running tasks.
- Identify and optimize hot files, slow generators, or heavy linking stages.
- Consider incremental improvements: precompiled headers, faster linkers, or splitting large translation units.
8) Keep toolchain and plugins up to date
Compile Plus performance improves with newer toolchains and plugin versions.
- Update compilers, linkers, and related tools when stable releases add performance fixes.
- Test plugin updates in a staging environment before rolling out globally.
- Maintain reproducible toolchains (containerize or use toolchain pinning) to avoid “works on my machine” problems.
9) Integrate with CI/CD effectively
Make Compile Plus part of your CI feedback loop.
- Cache build artifacts between CI jobs.
- Use remote cache hits to speed up pull-request validation.
- Run heavy, non-blocking builds in the background while keeping fast checks for developers.
10) Educate the team and document best practices
Tooling is only as good as the people using it.
- Document project-specific Compile Plus settings and reasons for them.
- Share common troubleshooting steps for cache misses, failures, and performance regressions.
- Run periodic workshops or “build clinic” sessions to spread knowledge and gather feedback.
Conclusion
By understanding Compile Plus’s internals, configuring caching and remote execution properly, profiling builds, and sharing best practices, teams can drastically reduce build times and developer friction. Start with low-effort wins (caching, parallelism tuning) and iterate toward deeper structural changes (modularization, remote execution) as you measure improvements.