Skills build-parallelism

Guide for optimizing MSBuild build parallelism and multi-project scheduling. Only activate in MSBuild/.NET build context. USE FOR: builds not utilizing all CPU cores, speeding up multi-project solutions, evaluating graph build mode (/graph), build time not improving with -m flag, understanding project dependency topology. Note: /maxcpucount default is 1 (sequential) — always use -m for parallel builds. Covers /maxcpucount, graph build for better scheduling and isolation, BuildInParallel on MSBuild task, reducing unnecessary ProjectReferences, solution filters (.slnf) for building subsets. DO NOT USE FOR: single-project builds, incremental build issues (use incremental-build), compilation slowness within a project (use build-perf-diagnostics), non-MSBuild build systems. INVOKES: dotnet build -m, dotnet build /graph, binlog analysis.

install
source · Clone the upstream repo
git clone https://github.com/dotnet/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/dotnet/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/dotnet-msbuild/skills/build-parallelism" ~/.claude/skills/dotnet-skills-build-parallelism && rm -rf "$T"
manifest: plugins/dotnet-msbuild/skills/build-parallelism/SKILL.md
source content

MSBuild Parallelism Model

  • /maxcpucount
    (or
    -m
    ): number of worker nodes (processes)
  • Default: 1 node (sequential!). Always use
    -m
    for parallel builds
  • Recommended:
    -m
    without 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
    performancesummary
    and check Project Performance Summary — shows per-project time; grep for
    node.*assigned
    to check scheduling
  • Wide graphs (many independent projects) parallelize well; deep graphs (long chains) don't

Graph Build Mode (
/graph
)

  • dotnet build /graph
    or
    msbuild /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
    IMultiThreadableTask
    can run on multiple threads
  • Tasks must declare thread-safety via
    [MSBuildMultiThreadableTask]

Analyzing Parallelism with Binlog

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
    -m
    in 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 /graph
    works well with structured CI pipelines