
Build Parallelism
- 18 installs
- 466 repo stars
- Updated July 25, 2026
- managedcode/dotnet-skills
Helps with ai & agent building tasks.
About
build-parallelism is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- build-parallelism
- AI & Agent Building
- AI-coding skill
Build Parallelism by the numbers
- 18 all-time installs (skills.sh)
- +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #10,710 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
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| Installs | 18 |
|---|---|
| repo stars | ★ 466 |
| Last updated | July 25, 2026 |
| Repository | managedcode/dotnet-skills ↗ |
What it does
Helps with ai & agent building tasks.
Files
MSBuild Parallelism Model
/maxcpucount(or-m): number of worker nodes (processes)- Default: 1 node (sequential!). Always use
-mfor parallel builds - Recommended:
-mwithout a number = use all logical processors - Each node builds one project at a time
- Projects are scheduled based on dependency graph
Project Dependency Graph
- MSBuild builds projects in dependency order (topological sort)
- Critical path: longest chain of dependent projects determines minimum build time
- Bottleneck: if project A depends on B, C, D and B takes 60s while C and D take 5s, B is the bottleneck
- Diagnosis: replay binlog to diagnostic log with
performancesummaryand check Project Performance Summary — shows per-project time; grep fornode.*assignedto check scheduling - Wide graphs (many independent projects) parallelize well; deep graphs (long chains) don't
Graph Build Mode (/graph)
dotnet build /graphormsbuild /graph- What it changes: MSBuild constructs the full project dependency graph BEFORE building
- Benefits: better scheduling, avoids redundant evaluations, enables isolated builds
- Limitations: all projects must use
<ProjectReference>(no programmatic MSBuild task references) - When to use: large solutions with many projects, CI builds
- When NOT to use: projects that dynamically discover references at build time
Optimizing Project References
- Reduce unnecessary
<ProjectReference>— each adds to the dependency chain - Use
<ProjectReference ... SkipGetTargetFrameworkProperties="true">to avoid extra evaluations <ProjectReference ... ReferenceOutputAssembly="false">for build-order-only dependencies- Consider if a ProjectReference should be a PackageReference instead (pre-built NuGet)
- Use
solution filters(.slnf) to build subsets of the solution
BuildInParallel
<MSBuild Projects="@(ProjectsToBuild)" BuildInParallel="true" />in custom targets- Without
BuildInParallel="true", MSBuild task batches projects sequentially - Ensure
/maxcpucount> 1 for this to have effect
Multi-threaded MSBuild Tasks
- Individual tasks can run multi-threaded within a single project build
- Tasks implementing
IMultiThreadableTaskcan run on multiple threads - Tasks must declare thread-safety via
[MSBuildMultiThreadableTask]
Analyzing Parallelism with Binlog
Primary: binlog MCP (preferred)
Use the binlog MCP server (Microsoft.AITools.BinlogMcp, exposed under the binlog MCP namespace):
1. Use expensive_projects tool → find the slowest projects and compare individual vs total build time 2. Use expensive_targets tool → find bottleneck targets 3. Use project_target_times tool → drill into a specific project's target-level timing 4. Ideal: build time should be much less than sum of project times (parallelism) 5. If build time ≈ sum of project times: too many serial dependencies, or one slow project blocking others
Fallback: text-log replay (when MCP is unavailable)
Step-by-step:
1. Replay the binlog: dotnet msbuild build.binlog -noconlog -fl -flp:v=diag;logfile=full.log;performancesummary 2. Check Project Performance Summary at the end of full.log 3. Ideal: build time should be much less than sum of project times (parallelism) 4. If build time ≈ sum of project times: too many serial dependencies, or one slow project blocking others 5. grep 'Target Performance Summary' -A 30 full.log → find the bottleneck targets 6. Consider splitting large projects or optimizing the critical path
CI/CD Parallelism Tips
- Use
-min CI (many CI runners have multiple cores) - Consider splitting solution into build stages for extreme parallelism
- Use build caching (NuGet lock files, deterministic builds) to avoid rebuilding unchanged projects
dotnet build /graphworks well with structured CI pipelines
{
"version": "0.1.0",
"category": "Core",
"compatibility": "Requires a .NET repository with MSBuild project or solution files."
}