Build Perf Baseline

Build 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:

• build-perf-diagnostics — binlog-based bottleneck identification
• incremental-build — Inputs/Outputs and up-to-date checks
• build-parallelism — parallel and graph build tuning
• eval-performance — glob and import chain optimization

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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 | 30 seconds → incremental build is broken (see incremental-build skill)

• 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     |         |             |

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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

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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

  true

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 artifacts/ directory to cache/restore in CI
• Cleaner .gitignore: Just ignore artifacts/
• Multi-targeting safe: Each TFM gets its own subdirectory

Customizing

  $(MSBuildThisFileDirectory)output

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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

  
  true

  
  true

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

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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

Build-Order-Only References

When you need a project to build before yours but don't need its assembly output:

Prevent Transitive Flow

When a dependency is an internal implementation detail that shouldn't flow to consumers:

Disable Transitive Project References

For explicit-only dependency management (extreme measure for very large repos):

  true

Caution: This requires all dependencies to be listed explicitly. Only use in large repos where transitive closure is causing excessive rebuilds.

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Step 6: Static Graph Builds (/graph)

Static 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 /graph — may see significant parallelism gains | | Small solution ( outside of targets (not dynamically computed inside ` blocks).

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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:

1. Break large projects into smaller ones that can build in parallel
2. Remove unnecessary ProjectReferences (see Step 5)
3. Use ReferenceOutputAssembly="false" for build-order-only dependencies
4. Move shared code to a base library that builds first, then parallelize consumers

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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.

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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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: dotnet
• Source: dotnet/skills
• License: MIT

Install and usage instructions live in the source repository linked above.