Build perf diagnostics
Skill dotnet/skills/plugins/dotnet-msbuild/skills/build-perf-diagnostics
Repository for skills to assist AI coding agents with .NET and C#
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Diagnose MSBuild build performance bottlenecks using binary log analysis. USE FOR: identifying why builds are slow by analyzing binlog performance summaries, detecting ResolveAssemblyReference (RAR) taking >5s, Roslyn analyzers consuming >30% of Csc time, single targets dominating >50% of build time, node utilization below 80%, excessive Copy tasks, NuGet restore running every build. Covers timeline analysis, Target/Task Performance Summary interpretation, and 7 common bottleneck categories. Use after build-perf-baseline has established measurements. DO NOT USE FOR: establishing initial baselines (use build-perf-baseline first), fixing incremental build issues (use incremental-build), parallelism tuning (use build-parallelism), non-MSBuild build systems.
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SKILL.md
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Performance Analysis Methodology
- Generate a binlog:
dotnet build /bl:{} -m - Use the binlog MCP server (
Microsoft.AITools.BinlogMcp, exposed under thebinlogMCP namespace) which is bundled with this plugin
Alternate flow when MCP is unavailable: binlog replay to text logs
- Generate a binlog:
dotnet build /bl:{} -m - Replay to diagnostic log with performance summary:
dotnet msbuild build.binlog -noconlog -fl -flp:v=diag;logfile=full.log;performancesummary - Read the performance summary (at the end of
full.log):grep "Target Performance Summary\|Task Performance Summary" -A 50 full.log - Find expensive targets and tasks: The PerformanceSummary section lists all targets/tasks sorted by cumulative time
- Check for node utilization: grep for scheduling and node messages
grep -i "node.*assigned\|building with\|scheduler" full.log | head -30 - Check analyzers: grep for analyzer timing
grep -i "analyzer.*elapsed\|Total analyzer execution time\|CompilerAnalyzerDriver" full.log
Key Metrics and Thresholds
- Build duration: what's "normal" — small project <10s, medium <60s, large <5min
- Node utilization: ideal is >80% active time across nodes. Low utilization = serialization bottleneck
- Single target domination: if one target is >50% of build time, investigate
- Analyzer time vs compile time: analyzers should be <30% of Csc task time. If higher, consider removing expensive analyzers
- RAR time: ResolveAssemblyReference >5s is concerning. >15s is pathological
Common Bottlenecks
1. ResolveAssemblyReference (RAR) Slowness
- Symptoms: RAR taking >5s per project
- Root causes: too many assembly references, network-based reference paths, large assembly search paths
- Fixes: reduce reference count, use
<DesignTimeBuild>false</DesignTimeBuild>for RAR-heavy analysis, set<ResolveAssemblyReferencesSilent>true</ResolveAssemblyReferencesSilent>for diagnostic - Advanced:
<DesignTimeBuild>and<ResolveAssemblyWarnOrErrorOnTargetArchitectureMismatch> - Key insight: RAR runs unconditionally even on incremental builds because users may have installed targeting packs or GACed assemblies (see dotnet/msbuild#2015). With .NET Core micro-assemblies, the reference count is often very high.
- Reduce transitive references: Set
<DisableTransitiveProjectReferences>true</DisableTransitiveProjectReferences>to avoid pulling in the full transitive closure (note: projects may need to add direct references for any types they consume). UseReferenceOutputAssembly="false"on ProjectReferences that are only needed at build time (not API surface). Trim unused PackageReferences.
2. Roslyn Analyzers and Source Generators
- Symptoms: Csc task takes much longer than expected for file count (>2× clean compile time)
- Diagnosis: Check the Task Performance Summary in the replayed log for Csc task time; grep for analyzer timing messages; compare Csc duration with and without analyzers (
/p:RunAnalyzers=false) - Fixes:
- Conditionally disable in dev:
<RunAnalyzers Condition="'$(ContinuousIntegrationBuild)' != 'true'">false</RunAnalyzers> - Per-configuration:
<RunAnalyzers Condition="'$(Configuration)' == 'Debug'">false</RunAnalyzers> - Code-style only:
<EnforceCodeStyleInBuild Condition="'$(ContinuousIntegrationBuild)' == 'true'">true</EnforceCodeStyleInBuild> - Remove genuinely redundant analyzers from inner loop
- Severity config in .editorconfig for less critical rules
- Conditionally disable in dev:
- Key principle: Preserve analyzer enforcement in CI. Never just "remove" analyzers — configure them conditionally.
- GlobalPackageReference: Analyzers added via
GlobalPackageReferenceinDirectory.Packages.propsapply to ALL projects. Consider if test projects need the same analyzer set as production code. - EnforceCodeStyleInBuild: When set to
trueinDirectory.Build.props, forces code-style analysis on every build. Should be conditional on CI environment (ContinuousIntegrationBuild) to avoid slowing dev inner loop.
3. Serialization Bottlenecks (Single-threaded targets)
- Symptoms: Performance summary shows most build time concentrated in a single project; diagnostic log shows idle nodes while one works
- Common culprits: targets without proper dependency declaration, single project on critical path
- Fixes: split large projects, optimize the critical path project, ensure proper
BuildInParallel
4. Excessive File I/O (Copy tasks)
- Symptoms: Copy task shows high aggregate time
- Root causes: copying thousands of files, copying across network drives, Copy task unintentionally running once per item (per-file) instead of as a single batch (see dotnet/msbuild#12884)
- Fixes: use hardlinks (
<CreateHardLinksForCopyFilesToOutputDirectoryIfPossible>true</CreateHardLinksForCopyFilesToOutputDirectoryIfPossible>), reduce CopyToOutputDirectory items, use<UseCommonOutputDirectory>true</UseCommonOutputDirectory>when appropriate, set<SkipCopyUnchangedFiles>true</SkipCopyUnchangedFiles>, consider--artifacts-path(.NET 8+) for centralized output layout - Dev Drive: On Windows, switching to a Dev Drive (ReFS with copy-on-write and reduced Defender scans) can significantly reduce file I/O overhead for Copy-heavy builds. Recommend for both dev machines and self-hosted CI agents.
5. Evaluation Overhead
- Symptoms: build starts slow before any compilation
- Root causes: complex Directory.Build.props, wildcard globs scanning large directories, NuGetSdkResolver overhead (adds 180-400ms per project evaluation even when restored — see dotnet/msbuild#4025)
- Fixes: reduce Directory.Build.props complexity, use
<EnableDefaultItems>false</EnableDefaultItems>for legacy projects with explicit file lists, avoid NuGet-based SDK resolvers if possible - See:
eval-performanceskill for detailed guidance
6. NuGet Restore in Build
- Symptoms: restore runs every build even when unnecessary
- Fixes:
- Separate restore from build:
dotnet restorethendotnet build --no-restore - Enable static graph evaluation:
<RestoreUseStaticGraphEvaluation>true</RestoreUseStaticGraphEvaluation>in Directory.Build.props — can save significant time in large builds (results are workload-dependent)
- Separate restore from build:
7. Large Project Count and Graph Shape
- Symptoms: many small projects, each takes minimal time but overhead adds up; deep dependency chains serialize the build
- Consider: project consolidation, or use
/graphmode for better scheduling - Graph shape matters: a wide dependency graph (few levels, many parallel branches) builds faster than a deep one (many levels, serialized). Refactoring from deep to wide can yield significant improvements in both clean and incremental build times.
- Actions: look for unnecessary project dependencies, consider splitting a bottleneck project into two, or merging small leaf projects
Using Binlog Replay for Performance Analysis
Step-by-step workflow using text log replay:
- Replay with performance summary:
dotnet msbuild build.binlog -noconlog -fl -flp:v=diag;logfile=full.log;performancesummary - Read target/task performance summaries (at the end of
full.log):
This shows all targets and tasks sorted by cumulative time — equivalent to finding expensive targets/tasks.grep "Target Performance Summary\|Task Performance Summary" -A 50 full.log - Find per-project build times:
grep "done building project\|Project Performance Summary" full.log - Check parallelism (multi-node scheduling):
grep -i "node.*assigned\|RequiresLeadingNewline\|Building with" full.log | head -30 - Check analyzer overhead:
grep -i "Total analyzer execution time\|analyzer.*elapsed\|CompilerAnalyzerDriver" full.log - Drill into a specific slow target:
grep 'Target "CoreCompile"\|Target "ResolveAssemblyReferences"' full.log
Quick Wins Checklist
- Use
/maxcpucount(or-m) for parallel builds - Separate restore from build (
dotnet restorethendotnet build --no-restore) - Enable static graph restore (
<RestoreUseStaticGraphEvaluation>true</RestoreUseStaticGraphEvaluation>) - Enable hardlinks for Copy (
<CreateHardLinksForCopyFilesToOutputDirectoryIfPossible>true</CreateHardLinksForCopyFilesToOutputDirectoryIfPossible>) - Disable analyzers conditionally in dev inner loop:
<RunAnalyzers Condition="'$(ContinuousIntegrationBuild)' != 'true'">false</RunAnalyzers> - Enable reference assemblies (
<ProduceReferenceAssembly>true</ProduceReferenceAssembly>) - Check for broken incremental builds (see
incremental-buildskill) - Check for bin/obj clashes (see
check-bin-obj-clashskill) - Use graph build (
/graph) for multi-project solutions - Use
--artifacts-path(.NET 8+) for centralized output layout - Enable Dev Drive (ReFS) on Windows dev machines and self-hosted CI
Impact Categorization
When reporting findings, categorize by impact to help prioritize fixes:
- 🔴 HIGH IMPACT (do first): Items consuming >10% of total build time, or a single target >50% of build time
- 🟡 MEDIUM IMPACT: Items consuming 2-10% of build time
- 🟢 QUICK WINS: Easy changes with modest impact (e.g., property flags in Directory.Build.props)