Skills build-perf-baseline
Establish build performance baselines and apply systematic optimization techniques. Only activate in MSBuild/.NET build context. USE FOR: diagnosing slow builds, establishing before/after measurements (cold, warm, no-op scenarios), applying optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start here before diving into build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE FOR: non-MSBuild build systems, detailed bottleneck analysis (use build-perf-diagnostics after baselining).
git clone https://github.com/dotnet/skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/dotnet/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/dotnet-msbuild/skills/build-perf-baseline" ~/.claude/skills/dotnet-skills-build-perf-baseline && rm -rf "$T"
plugins/dotnet-msbuild/skills/build-perf-baseline/SKILL.mdBuild Performance Baseline & Optimization
Overview
Before optimizing a build, you need a baseline. Without measurements, optimization is guesswork. This skill covers how to establish baselines and apply systematic optimization techniques.
Related skills:
— binlog-based bottleneck identificationbuild-perf-diagnostics
— Inputs/Outputs and up-to-date checksincremental-build
— parallel and graph build tuningbuild-parallelism
— glob and import chain optimizationeval-performance
Step 1: Establish a Performance Baseline
Measure three scenarios to understand where time is spent:
Cold Build (First Build)
No previous build output exists. Measures the full end-to-end time including restore, compilation, and all targets.
# Clean everything first dotnet clean # Remove bin/obj to truly start fresh Get-ChildItem -Recurse -Directory -Include bin,obj | Remove-Item -Recurse -Force # OR on Linux/macOS: # find . -type d \( -name bin -o -name obj \) -exec rm -rf {} + # Measure cold build dotnet build /bl:cold-build.binlog -m
Warm Build (Incremental Build)
Build output exists, some files have changed. Measures how well incremental build works.
# Build once to populate outputs dotnet build -m # Make a small change (touch one .cs file) # Then rebuild dotnet build /bl:warm-build.binlog -m
No-Op Build (Nothing Changed)
Build output exists, nothing has changed. This should be nearly instant. If it's slow, incremental build is broken.
# Build once to populate outputs dotnet build -m # Rebuild immediately without changes dotnet build /bl:noop-build.binlog -m
What Good Looks Like
| Scenario | Expected Behavior |
|---|---|
| Cold build | Full compilation, all targets run. This is your absolute baseline |
| Warm build | Only changed projects recompile. Time proportional to change scope |
| No-op build | < 5 seconds for small repos, < 30 seconds for large repos. All compilation targets should report "Skipping target — all outputs up-to-date" |
Red flags:
- No-op build > 30 seconds → incremental build is broken (see
skill)incremental-build - Warm build recompiles everything → project dependency chain forces full rebuild
- Cold build has long restore → NuGet cache issues
Recording Baselines
Record baselines in a structured way before and after optimization:
| Scenario | Before | After | Improvement | |-------------|---------|---------|-------------| | Cold build | 2m 15s | | | | Warm build | 1m 40s | | | | No-op build | 45s | | |
Step 2: MSBuild Server (Persistent Build Process)
The MSBuild server keeps the build process alive between invocations, avoiding JIT compilation and assembly loading overhead on every build.
Enabling MSBuild Server
# Enabled by default in .NET 8+ but can be forced dotnet build /p:UseSharedCompilation=true
The MSBuild server is started automatically and reused across builds. The compiler server (VBCSCompiler /
dotnet build-server) is separate but complementary.
Managing the Build Server
# Check if the server is running dotnet build-server status # Shut down all build servers (useful when debugging) dotnet build-server shutdown
When to Restart the Build Server
Restart after:
- Updating the .NET SDK
- Changing MSBuild tooling (custom tasks, props, targets)
- Debugging build infrastructure issues
- Seeing stale behavior in repeated builds
dotnet build-server shutdown dotnet build
Step 3: Artifacts Output Layout
The
UseArtifactsOutput feature (introduced in .NET 8) changes the output directory structure to avoid bin/obj clash issues and enable better caching.
Enabling Artifacts Output
<!-- Directory.Build.props --> <PropertyGroup> <UseArtifactsOutput>true</UseArtifactsOutput> </PropertyGroup>
Before vs After
# Traditional layout (before) src/ MyLib/ bin/Debug/net8.0/MyLib.dll obj/Debug/net8.0/... MyApp/ bin/Debug/net8.0/MyApp.dll # Artifacts layout (after) artifacts/ bin/MyLib/debug/MyLib.dll bin/MyApp/debug/MyApp.dll obj/MyLib/debug/... obj/MyApp/debug/...
Benefits
- No bin/obj clash: Each project+configuration gets a unique path automatically
- Easier to cache: Single
directory to cache/restore in CIartifacts/ - Cleaner .gitignore: Just ignore
artifacts/ - Multi-targeting safe: Each TFM gets its own subdirectory
Customizing
<!-- Change the artifacts root --> <PropertyGroup> <ArtifactsPath>$(MSBuildThisFileDirectory)output</ArtifactsPath> </PropertyGroup>
Step 4: Deterministic Builds
Deterministic builds produce byte-for-byte identical output given the same inputs. This is essential for build caching and reproducibility.
Enabling Deterministic Builds
<!-- Directory.Build.props --> <PropertyGroup> <!-- Enabled by default in .NET SDK projects since SDK 2.0+ --> <Deterministic>true</Deterministic> <!-- For full reproducibility, also set: --> <ContinuousIntegrationBuild Condition="'$(CI)' == 'true'">true</ContinuousIntegrationBuild> </PropertyGroup>
What Deterministic Affects
- Removes timestamps from PE headers
- Uses consistent file paths in PDBs
- Produces identical output for identical input
Why It Matters for Performance
- Build caching: If outputs are deterministic, you can cache and reuse them across builds and machines
- CI optimization: Skip rebuilding unchanged projects by comparing inputs
- Distributed builds: Safe to cache compilation results in shared storage
Step 5: Dependency Graph Trimming
Reducing unnecessary project references shortens the critical path and reduces what gets built.
Audit the Dependency Graph
# Visualize the dependency graph dotnet build /bl:graph.binlog # In the binlog, check project references and build times # Look for projects that are referenced but could be trimmed
Techniques
Remove Redundant Transitive References
<!-- BAD: Utils is already referenced transitively via Core --> <ItemGroup> <ProjectReference Include="..\Core\Core.csproj" /> <ProjectReference Include="..\Utils\Utils.csproj" /> </ItemGroup> <!-- GOOD: Let transitive references flow automatically --> <ItemGroup> <ProjectReference Include="..\Core\Core.csproj" /> </ItemGroup>
Build-Order-Only References
When you need a project to build before yours but don't need its assembly output:
<!-- Only ensures build order, doesn't reference the output assembly --> <ProjectReference Include="..\CodeGen\CodeGen.csproj" ReferenceOutputAssembly="false" />
Prevent Transitive Flow
When a dependency is an internal implementation detail that shouldn't flow to consumers:
<!-- Don't expose this dependency transitively --> <ProjectReference Include="..\InternalHelpers\InternalHelpers.csproj" PrivateAssets="all" />
Disable Transitive Project References
For explicit-only dependency management (extreme measure for very large repos):
<PropertyGroup> <DisableTransitiveProjectReferences>true</DisableTransitiveProjectReferences> </PropertyGroup>
Caution: This requires all dependencies to be listed explicitly. Only use in large repos where transitive closure is causing excessive rebuilds.
Step 6: Static Graph Builds (/graph
)
/graphStatic graph mode evaluates the entire project graph before building, enabling better scheduling and isolation.
Enabling Graph Build
# Single invocation dotnet build /graph # With binary log for analysis dotnet build /graph /bl:graph-build.binlog
Benefits
- Better parallelism: MSBuild knows the full graph upfront and can schedule optimally
- Build isolation: Each project builds in isolation (no cross-project state leakage)
- Caching potential: With isolation, individual project results can be cached
When to Use
| Scenario | Recommendation |
|---|---|
| Large multi-project solution (20+ projects) | ✅ Try — may see significant parallelism gains |
| Small solution (< 5 projects) | ❌ Overhead of graph evaluation outweighs benefits |
| CI builds | ✅ Graph builds are more predictable and parallelizable |
| Local development | ⚠️ Test both — may or may not help depending on project structure |
Troubleshooting Graph Build
Graph build requires that all
ProjectReference items are statically determinable (no dynamic references computed in targets). If graph build fails:
error MSB4260: Project reference "..." could not be resolved with static graph.
Fix: Ensure all
ProjectReference items are declared in <ItemGroup> outside of targets (not dynamically computed inside <Target> blocks).
Step 7: Parallel Build Tuning
MaxCpuCount
# Use all available cores (default in dotnet build) dotnet build -m # Specify explicit core count (useful for CI with shared agents) dotnet build -m:4 # MSBuild.exe syntax msbuild /m:8 MySolution.sln
Identifying Parallelism Bottlenecks
In a binlog, look for:
- Long sequential chains: Projects that must build one after another due to dependencies
- Uneven load: Some build nodes idle while others are overloaded
- Single-project bottleneck: One large project on the critical path that blocks everything
Use
grep 'Target Performance Summary' -A 30 full.log in binlog analysis to see build node utilization.
Reducing the Critical Path
The critical path is the longest chain of dependent projects. To shorten it:
- Break large projects into smaller ones that can build in parallel
- Remove unnecessary ProjectReferences (see Step 5)
- Use
for build-order-only dependenciesReferenceOutputAssembly="false" - Move shared code to a base library that builds first, then parallelize consumers
Step 8: Additional Quick Wins
Separate Restore from Build
# In CI, restore once then build without restore dotnet restore dotnet build --no-restore -m dotnet test --no-build
Skip Unnecessary Targets
# Skip building documentation dotnet build /p:GenerateDocumentationFile=false # Skip analyzers during development (not for CI!) dotnet build /p:RunAnalyzers=false
Use Project-Level Filtering
# Build only the project you're working on (and its dependencies) dotnet build src/MyApp/MyApp.csproj # Don't build the entire solution if you only need one project
Binary Log for All Investigations
Always start with a binlog:
dotnet build /bl:perf.binlog -m
Then use the
build-perf-diagnostics skill and binlog tools for systematic bottleneck identification.
Optimization Decision Tree
Is your no-op build slow (> 10s per project)? ├── YES → See `incremental-build` skill (fix Inputs/Outputs) └── NO Is your cold build slow? ├── YES │ Is restore slow? │ ├── YES → Optimize NuGet restore (use lock files, configure local cache) │ └── NO │ Is compilation slow? │ ├── YES │ │ Are analyzers/generators slow? │ │ ├── YES → See `build-perf-diagnostics` skill │ │ └── NO → Check parallelism, graph build, critical path (this skill + `build-parallelism`) │ └── NO → Check custom targets (binlog analysis via `build-perf-diagnostics`) └── NO Is your warm build slow? ├── YES → Projects rebuilding unnecessarily → check `incremental-build` skill └── NO → Build is healthy! Consider graph build or UseArtifactsOutput for further gains