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Incremental Build

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dotnet
incremental-build

Guide for optimizing MSBuild incremental builds. USE FOR: builds slower than expected on subsequent runs, 'nothing changed but it rebuilds anyway', diagnosing why targets re-execute unnecessarily, fixing broken no-op builds. Covers 8 common causes: missing Inputs/Outputs on custom targets, volatile properties in output paths (timestamps/GUIDs), file writes outside tracked Outputs, missing FileWrites registration, glob changes, Visual Studio Fast Up-to-Date Check (FUTDC) issues. Key diagnostic: look for 'Building target completely' vs 'Skipping target' in binlog. DO NOT USE FOR: first-time build slowness (use build-perf-baseline), parallelism issues (use build-parallelism), evaluation-phase slowness (use eval-performance), non-MSBuild build systems.

Overview

Publisherdotnet
Repositoryskills
Skill nameincremental-build
Stars
5.4K
Forks
416
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dotnet on GitHub. Read the source before you install it.

Installation

Install the Incremental Build AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dotnet/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/dotnet-msbuild/skills/incremental-build .claude/skills/incremental-build
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Incremental Build in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Incremental Build on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Incremental Build is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

How MSBuild Incremental Build Works

MSBuild's incremental build mechanism allows targets to be skipped when their outputs are already up to date, dramatically reducing build times on subsequent runs.

  • Targets with Inputs and Outputs attributes: MSBuild compares the timestamps of all files listed in Inputs against all files listed in Outputs. If every output file is newer than every input file, the target is skipped entirely.
  • Without Inputs/Outputs: The target runs every time the build is invoked. This is the default behavior and the most common cause of slow incremental builds.
  • Incremental attribute on targets: Targets can explicitly opt in or out of incremental behavior. Setting Incremental="false" forces the target to always run, even if Inputs and Outputs are specified.
  • Timestamp-based comparison: MSBuild uses file system timestamps (last write time) to determine staleness. It does not use content hashes. This means touching a file (updating its timestamp without changing content) will trigger a rebuild.
xml
<!-- This target is incremental: skipped if Output is newer than all Inputs -->
<Target Name="Transform"
        Inputs="@(TransformFiles)"
        Outputs="@(TransformFiles->'$(OutputPath)%(Filename).out')">
  <!-- work here -->
</Target>

<!-- This target always runs because it has no Inputs/Outputs -->
<Target Name="PrintMessage">
  <Message Text="This runs every build" />
</Target>

Why Incremental Builds Break (Top Causes)

  1. Missing Inputs/Outputs on custom targets — Without both attributes, the target always runs. This is the single most common cause of unnecessary rebuilds.

  2. Volatile properties in Outputs path — If the output path includes something that changes between builds (e.g., a timestamp, build number, or random GUID), MSBuild will never find the previous output and will always rebuild.

  3. File writes outside of tracked Outputs — If a target writes files that aren't listed in its Outputs, MSBuild doesn't know about them. The target may be skipped (because its declared outputs are up to date), but downstream targets may still be triggered.

  4. Missing FileWrites registration — Files created during the build but not registered in the FileWrites item group won't be cleaned by dotnet clean. Over time, stale files can confuse incremental checks.

  5. Glob changes — When you add or remove source files, the item set (e.g., @(Compile)) changes. Since these items feed into Inputs, the set of inputs changes and triggers a rebuild. This is expected behavior but can be surprising.

  6. Property changes — Properties that feed into Inputs or Outputs paths (e.g., $(Configuration), $(TargetFramework)) will cause rebuilds when changed. Switching between Debug and Release is a full rebuild by design.

  7. NuGet package updates — Changing a package version updates project.assets.json and potentially many resolved assembly paths. This changes the inputs to ResolveAssemblyReferences and CoreCompile, triggering a rebuild.

  8. Build server VBCSCompiler cache invalidation — The Roslyn compiler server (VBCSCompiler) caches compilation state. If the server is recycled (timeout, crash, or manual kill), the next build may be slower even though MSBuild's incremental checks pass, because the compiler must repopulate its in-memory caches.

Diagnosing "Why Did This Rebuild?"

Use binary logs (binlogs) to understand exactly why targets ran instead of being skipped.

Step-by-step using binlog

  1. Build twice with binlogs to capture the incremental build behavior:
    shell
    dotnet build /bl:first.binlog
    dotnet build /bl:second.binlog
    The first build establishes the baseline. The second build is the one you want to be incremental. Analyze second.binlog.

Primary: binlog MCP (preferred)

Use the binlog MCP server (Microsoft.AITools.BinlogMcp, exposed under the binlog MCP namespace) to analyze the second binlog:

  1. Use the overview tool to check overall build status and duration
  2. Use the search tool to find targets that executed vs were skipped — search for "Building target completely", "Building target incrementally", "Skipping target"
  3. Use the search tool to find "is newer than output" messages that reveal which input file triggered a rebuild
  4. Use target-related tools (target_reasons, project_targets) to inspect why specific targets ran
  5. Use the expensive_targets tool to find targets that consumed the most time in the second build — these are your optimization targets

Fallback: text-log replay (when MCP is unavailable)

  1. Replay the second binlog to a diagnostic text log:

    shell
    dotnet msbuild second.binlog -noconlog -fl -flp:v=diag;logfile=second-full.log;performancesummary

    Then search for targets that actually executed:

    bash
    grep 'Building target\|Target.*was not skipped' second-full.log

    In a perfectly incremental build, most targets should be skipped.

  2. Inspect non-skipped targets by looking for their execution messages in the diagnostic log. Check for "out of date" messages that indicate why a target ran.

  3. Look for key messages in the binlog:

    • "Building target 'X' completely" — means MSBuild found no outputs or all outputs are missing; this is a full target execution.
    • "Building target 'X' incrementally" — means some (but not all) outputs are out of date.
    • "Skipping target 'X' because all output files are up-to-date" — target was correctly skipped.
  4. Search for "is newer than output" messages to find the specific input file that triggered the rebuild:

    bash
    grep "is newer than output" second-full.log

    This reveals exactly which input file's timestamp caused MSBuild to consider the target out of date.

Additional diagnostic techniques

  • Compare first.binlog and second.binlog side by side in the MSBuild Structured Log Viewer to see what changed.
  • Use grep 'Target Performance Summary' -A 30 second-full.log to see which targets consumed the most time in the second build — these are your optimization targets.
  • Check for targets with zero-duration that still ran — they may have unnecessary dependencies causing them to execute.

FileWrites and Clean Build

The FileWrites item group is MSBuild's mechanism for tracking files generated during the build. It powers dotnet clean and helps maintain correct incremental behavior.

  • FileWrites item: Register any file your custom targets create so that dotnet clean knows to remove them. Without this, generated files accumulate across builds and may confuse incremental checks.
  • FileWritesShareable item: Use this for files that are shared across multiple projects (e.g., shared generated code). These files are tracked but not deleted if other projects still reference them.
  • If not registered: Files accumulate in the output and intermediate directories. dotnet clean won't remove them, and they may cause stale data issues or confuse up-to-date checks.

Pattern for registering generated files

Add generated files to FileWrites inside the target that creates them:

xml
<Target Name="MyGenerator" Inputs="..." Outputs="$(IntermediateOutputPath)generated.cs">
  <!-- Generate the file -->
  <WriteLinesToFile File="$(IntermediateOutputPath)generated.cs" Lines="@(GeneratedLines)" />

  <!-- Register for clean -->
  <ItemGroup>
    <FileWrites Include="$(IntermediateOutputPath)generated.cs" />
  </ItemGroup>
</Target>

Visual Studio Fast Up-to-Date Check

Visual Studio has its own up-to-date check (Fast Up-to-Date Check, or FUTDC) that is separate from MSBuild's Inputs/Outputs mechanism. Understanding the difference is critical for diagnosing "it rebuilds in VS but not on the command line" issues.

  • VS FUTDC is faster because it runs in-process and checks a known set of items without invoking MSBuild at all. It compares timestamps of well-known item types (Compile, Content, EmbeddedResource, etc.) against the project's primary output.
  • It can be wrong if your project uses custom build actions, custom targets that generate files, or non-standard item types that FUTDC doesn't know about.
  • Disable FUTDC to force Visual Studio to use MSBuild's full incremental check:
    xml
    <PropertyGroup>
      <DisableFastUpToDateCheck>true</DisableFastUpToDateCheck>
    </PropertyGroup>
  • Diagnose FUTDC decisions by viewing the Output window in VS: go to Tools → Options → Projects and Solutions → SDK-Style Projects and set Up-to-date Checks logging level to Verbose or above. FUTDC will log exactly which file it considers out of date.
  • Common VS FUTDC issues:
    • Custom build actions not registered with the FUTDC system
    • CopyToOutputDirectory items that are newer than the last build
    • Items added dynamically by targets that FUTDC doesn't evaluate
    • Content or None items with CopyToOutputDirectory="PreserveNewest" that have been modified

Making Custom Targets Incremental

The following is a complete example of a well-structured incremental custom target:

xml
<Target Name="GenerateConfig"
        Inputs="$(MSBuildProjectFile);@(ConfigInput)"
        Outputs="$(IntermediateOutputPath)config.generated.cs"
        BeforeTargets="CoreCompile">
  <!-- Generate file only if inputs changed -->
  <WriteLinesToFile File="$(IntermediateOutputPath)config.generated.cs" Lines="..." />
  <ItemGroup>
    <FileWrites Include="$(IntermediateOutputPath)config.generated.cs" />
    <Compile Include="$(IntermediateOutputPath)config.generated.cs" />
  </ItemGroup>
</Target>

Key points in this example:

  • Inputs includes $(MSBuildProjectFile): This ensures the target reruns if the project file itself changes (e.g., a property that affects generation is modified).
  • Inputs includes @(ConfigInput): The actual source files that drive generation.
  • Outputs uses $(IntermediateOutputPath): Generated files go in the obj/ directory, which is managed by MSBuild and cleaned automatically.
  • BeforeTargets="CoreCompile": The generated file is available before the compiler runs.
  • FileWrites registration: Ensures dotnet clean removes the generated file.
  • Compile inclusion: Adds the generated file to the compilation without requiring it to exist at evaluation time.

Common mistakes to avoid

xml
<!-- BAD: No Inputs/Outputs — runs every build -->
<Target Name="BadTarget" BeforeTargets="CoreCompile">
  <Exec Command="generate-code.exe" />
</Target>

<!-- BAD: Volatile output path — never finds previous output -->
<Target Name="BadTarget2"
        Inputs="@(Compile)"
        Outputs="$(OutputPath)gen_$([System.DateTime]::Now.Ticks).cs">
  <Exec Command="generate-code.exe" />
</Target>

<!-- GOOD: Stable paths, registered outputs -->
<Target Name="GoodTarget"
        Inputs="@(Compile)"
        Outputs="$(IntermediateOutputPath)generated.cs"
        BeforeTargets="CoreCompile">
  <Exec Command="generate-code.exe -o $(IntermediateOutputPath)generated.cs" />
  <ItemGroup>
    <FileWrites Include="$(IntermediateOutputPath)generated.cs" />
    <Compile Include="$(IntermediateOutputPath)generated.cs" />
  </ItemGroup>
</Target>

Performance Summary and Preprocess

MSBuild provides built-in tools to understand what's running and why.

  • /clp:PerformanceSummary — Appends a summary at the end of the build showing time spent in each target and task. Use this to quickly identify the most expensive operations:

    shell
    dotnet build /clp:PerformanceSummary

    This shows a table of targets sorted by cumulative time, making it easy to spot targets that shouldn't be running in an incremental build.

  • /pp:preprocess.xml — Generates a single XML file with all imports inlined, showing the fully evaluated project. This is invaluable for understanding what targets, properties, and items are defined and where they come from:

    shell
    dotnet msbuild /pp:preprocess.xml

    Search the preprocessed output to find where Inputs and Outputs are defined for any target, or to understand the full chain of imports.

  • Use both together to understand what's running (PerformanceSummary) and what's imported (/pp), then cross-reference with binlog analysis for a complete picture.

Common Fixes

  • Always add Inputs and Outputs to custom targets — This is the single most impactful change for incremental build performance. Without both attributes, the target runs every time.
  • Use $(IntermediateOutputPath) for generated files — Files in obj/ are tracked by MSBuild's clean infrastructure and won't leak between configurations.
  • Register generated files in FileWrites — Ensures dotnet clean removes them and prevents stale file accumulation.
  • Avoid volatile data in build — Don't embed timestamps, random values, or build counters in file paths or generated content unless you have a deliberate strategy for managing staleness. If you must use volatile data, isolate it to a single file with minimal downstream impact.
  • Use Returns instead of Outputs when you need to pass items without creating incremental build dependencyOutputs serves double duty: it defines the incremental check AND the items returned from the target. If you only need to pass items to calling targets without affecting incrementality, use Returns instead:
    xml
    <!-- Outputs: affects incremental check AND return value -->
    <Target Name="GetFiles" Outputs="@(DiscoveredFiles)">...</Target>
    
    <!-- Returns: only affects return value, no incremental check -->
    <Target Name="GetFiles" Returns="@(DiscoveredFiles)">...</Target>

Frequently asked questions

What does the Incremental Build AI skill do?

Guide for optimizing MSBuild incremental builds. USE FOR: builds slower than expected on subsequent runs, 'nothing changed but it rebuilds anyway', diagnosing why targets re-execute unnecessarily, fixing broken no-op builds. Covers 8 common causes: missing Inputs/Outputs on custom targets, volatile properties in output paths (timestamps/GUIDs), file writes outside tracked Outputs, missing FileWrites registration, glob changes, Visual Studio Fast Up-to-Date Check (FUTDC) issues. Key diagnostic: look for 'Building target completely' vs 'Skipping target' in binlog. DO NOT USE FOR: first-time b...

Why use Incremental Build on TypingMind?

Because you install it once and use it with any model. Incremental Build is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Incremental Build in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/incremental-build. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Incremental Build?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Incremental Build?

As many as you like. As long as a model supports skills, you can use Incremental Build with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Incremental Build AI skill free?

Yes. It is published on GitHub by dotnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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