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Merge branch 'main' into copilot/fix-duplicate-json-column-child-table
Co-authored-by: AndriySvyryd <6539701+AndriySvyryd@users.noreply.github.com>
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‎.agents/skills/analyzers/SKILL.md‎

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---
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name: analyzers
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description: 'Implementation details for EF Core Roslyn analyzers. Use when changing analyzers, fix providers, or diagnostic suppressors.'
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user-invocable: false
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---

‎.agents/skills/bulk-operations/SKILL.md‎

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---
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name: bulk-operations
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description: 'Implementation details for EF Core ExecuteUpdate/ExecuteDelete bulk operations. Use when changing UpdateExpression/DeleteExpression LINQ translation or the corresponding SQL AST nodes.'
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user-invocable: false
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---

‎.agents/skills/ci-analysis/SKILL.md‎

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‎.agents/skills/ci-analysis/references/azdo-helix-reference.md‎

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# Azure DevOps and Helix Reference
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## Build Definition IDs (Example: dotnet/efcore)
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Each repository has its own build definition IDs. Here are common ones for dotnet/efcore:
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| Definition ID | Name | Description |
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|---------------|------|-------------|
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| `17` | efcore-ci | Main PR validation build |
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**Note:** The script auto-discovers builds for a PR, so you rarely need to know definition IDs.
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## Azure DevOps Organizations
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**Public builds (default):**
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- Organization: `dnceng-public`
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- Project: `cbb18261-c48f-4abb-8651-8cdcb5474649`
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**Internal/private builds:**
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- Organization: `dnceng`
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- Project GUID: Varies by pipeline
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Override with:
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```powershell
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./scripts/Get-CIStatus.ps1 -BuildId 1276327 -Organization "dnceng" -Project "internal-project-guid"
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```
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## Common Pipeline Names (Example: dotnet/efcore)
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| Pipeline | Description |
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|----------|-------------|
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| `efcore-ci` | Main PR validation build |
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Other repos have different pipelines - the script discovers them automatically from the PR.
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## Useful Links
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- [Helix Portal](https://helix.dot.net/): View Helix jobs and work items (all repos)
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- [Helix API Documentation](https://helix.dot.net/swagger/): Swagger docs for Helix REST API
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- [Build Analysis](https://github.com/dotnet/arcade/blob/main/Documentation/Projects/Build%20Analysis/LandingPage.md): Known issues tracking (arcade infrastructure)
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- [dnceng-public AzDO](https://dev.azure.com/dnceng-public/public/_build): Public builds for all dotnet repos
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## Test Execution Types
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### Helix Tests
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Tests run on Helix distributed test infrastructure. The script extracts console log URLs and can fetch detailed failure info with `-ShowLogs`.
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### Local Tests (Non-Helix)
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Some repositories (e.g., dotnet/efcore and dotnet/sdk) run tests directly on the build agent. The script detects these and extracts Azure DevOps Test Run URLs.
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## Known Issue Labels
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- `Known Build Error` - Used by Build Analysis across all dotnet repositories
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- Search syntax: `repo:<owner>/<repo> is:issue is:open label:"Known Build Error" <test-name>`
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Example searches (use `search_issues` when GitHub MCP is available, `gh` CLI otherwise):
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```bash
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# Search in runtime
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gh issue list --repo dotnet/runtime --label "Known Build Error" --search "FileSystemWatcher"
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# Search in efcore
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gh issue list --repo dotnet/efcore --label "Known Build Error" --search "SaveChanges"
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```

‎.agents/skills/ci-analysis/references/azure-cli.md‎

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# Deep Investigation with Azure CLI
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The AzDO MCP tools handle most pipeline queries directly. This reference covers the Azure CLI fallback for cases where MCP tools are unavailable or the endpoint isn't exposed (e.g., downloading artifacts, inspecting pipeline definitions).
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When the CI script and GitHub APIs aren't enough (e.g., investigating internal pipeline definitions or downloading build artifacts), use the Azure CLI with the `azure-devops` extension.
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> 💡 **Prefer `az pipelines` / `az devops` commands over raw REST API calls.** The CLI handles authentication, pagination, and JSON output formatting. Only fall back to manual `Invoke-RestMethod` calls when the CLI doesn't expose the endpoint you need (e.g., build timelines). The CLI's `--query` (JMESPath) and `-o table` flags are powerful for filtering without extra scripting.
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## Checking Authentication
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Before making AzDO API calls, verify the CLI is installed and authenticated:
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```powershell
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# Ensure az is on PATH (Windows may need a refresh after install)
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$env:Path = [System.Environment]::GetEnvironmentVariable("Path", "Machine") + ";" + [System.Environment]::GetEnvironmentVariable("Path", "User")
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# Check if az CLI is available
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az --version 2>$null | Select-Object -First 1
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# Check if logged in and get current account
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az account show --query "{name:name, user:user.name}" -o table 2>$null
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# If not logged in, prompt the user to authenticate:
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# az login # Interactive browser login
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# az login --use-device-code # Device code flow (for remote/headless)
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# Get an AAD access token for AzDO REST API calls (only needed for raw REST)
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$accessToken = (az account get-access-token --resource 499b84ac-1321-427f-aa17-267ca6975798 --query accessToken -o tsv)
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$headers = @{ "Authorization" = "Bearer $accessToken" }
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```
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> ⚠️ If `az` is not installed, use `winget install -e --id Microsoft.AzureCLI` (Windows). The `azure-devops` extension is also required — install or verify it with `az extension add --name azure-devops` (safe to run if already installed). Ask the user to authenticate if needed.
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> ⚠️ **Do NOT use `az devops configure --defaults`** — it sets user-wide defaults that may not match the organization/project needed for dotnet repositories. Always pass `--org` and `--project` (or `-p`) explicitly on each command.
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## Querying Pipeline Definitions and Builds
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```powershell
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$org = "https://dev.azure.com/dnceng"
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$project = "internal"
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# Find a pipeline definition by name
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az pipelines list --name "dotnet-unified-build" --org $org -p $project --query "[].{id:id, name:name, path:path}" -o table
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# Get pipeline definition details (shows YAML path, triggers, etc.)
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az pipelines show --id 1330 --org $org -p $project --query "{id:id, name:name, yamlPath:process.yamlFilename, repo:repository.name}" -o table
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# List recent builds for a pipeline (replace {TARGET_BRANCH} with the PR's base branch, e.g., main or release/9.0)
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az pipelines runs list --pipeline-ids 1330 --branch "refs/heads/{TARGET_BRANCH}" --top 5 --org $org -p $project --query "[].{id:id, result:result, finish:finishTime}" -o table
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# Get a specific build's details
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az pipelines runs show --id $buildId --org $org -p $project --query "{id:id, result:result, sourceBranch:sourceBranch}" -o table
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# List build artifacts
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az pipelines runs artifact list --run-id $buildId --org $org -p $project --query "[].{name:name, type:resource.type}" -o table
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# Download a build artifact
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az pipelines runs artifact download --run-id $buildId --artifact-name "TestBuild_linux_x64" --path "$env:TEMP\artifact" --org $org -p $project
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```
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## REST API Fallback
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Fall back to REST API only when the CLI doesn't expose what you need:
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```powershell
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# Get build timeline (stages, jobs, tasks with results and durations) — no CLI equivalent
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$accessToken = (az account get-access-token --resource 499b84ac-1321-427f-aa17-267ca6975798 --query accessToken -o tsv)
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$headers = @{ "Authorization" = "Bearer $accessToken" }
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$timelineUrl = "https://dev.azure.com/dnceng/internal/_apis/build/builds/$buildId/timeline?api-version=7.1"
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$timeline = (Invoke-RestMethod -Uri $timelineUrl -Headers $headers)
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$timeline.records | Where-Object { $_.result -eq "failed" -and $_.type -eq "Job" }
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```
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## Examining Pipeline YAML
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All dotnet repos that use arcade put their pipeline definitions under `eng/pipelines/` or in the root. Use `az pipelines show` to find the YAML file path, then fetch it:
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```powershell
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# Find the YAML path for a pipeline
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az pipelines show --id 1330 --org $org -p $project --query "{yamlPath:process.yamlFilename, repo:repository.name}" -o table
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# Fetch the YAML from the repo (example: dotnet/efcore's CI pipeline)
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# Read the pipeline YAML from the repo to understand build stages and conditions
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# e.g., azure-pipelines-public.yml in dotnet/efcore
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# For VMR unified builds, the YAML is in dotnet/dotnet:
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# eng/pipelines/unified-build.yml
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# Templates are usually in eng/pipelines/common/ or eng/pipelines/templates/
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```
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This is especially useful when:
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- A job name doesn't clearly indicate what it builds
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- You need to understand stage dependencies (why a job was canceled)
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- You want to find which template defines a specific step
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- Investigating whether a pipeline change caused new failures

‎.agents/skills/ci-analysis/references/binlog-comparison.md‎

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# Deep Investigation: Binlog Comparison
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When a test **passes on the target branch but fails on a PR**, comparing MSBuild binlogs from both runs reveals the exact difference in task parameters without guessing.
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## When to Use This Pattern
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- Test assertion compares "expected vs actual" build outputs (e.g., CSC args, reference lists)
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- A build succeeds on one branch but fails on another with different MSBuild behavior
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- You need to find which MSBuild property/item change caused a specific task to behave differently
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## The Pattern: Delegate to Subagents
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> ⚠️ **Do NOT download, load, and parse binlogs in the main conversation context.** This burns 10+ turns on mechanical work. Delegate to subagents instead.
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### Step 1: Identify the two work items to compare
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Use `Get-CIStatus.ps1` to find the failing Helix job + work item, then find a corresponding passing build (recent PR merged to the target branch, or a CI run on that branch).
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**Finding Helix job IDs from build artifacts (binlogs to find binlogs):**
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When the failing work item's Helix job ID isn't visible (e.g., canceled jobs, or finding a matching job from a passing build), the IDs are inside the build's `SendToHelix.binlog`:
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1. Download the build artifact with `az`:
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```
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az pipelines runs artifact list --run-id $buildId --org "https://dev.azure.com/dnceng-public" -p public --query "[].name" -o tsv
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az pipelines runs artifact download --run-id $buildId --artifact-name "TestBuild_linux_x64" --path "$env:TEMP\artifact" --org "https://dev.azure.com/dnceng-public" -p public
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```
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2. Load the `SendToHelix.binlog` and search for `Sent Helix Job` to find the GUIDs.
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3. Query each Helix job GUID with the CI script:
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```
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./scripts/Get-CIStatus.ps1 -HelixJob "{GUID}" -FindBinlogs
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```
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**For Helix work item binlogs (the common case):**
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The CI script shows binlog URLs directly when you query a specific work item:
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```
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./scripts/Get-CIStatus.ps1 -HelixJob "{JOB_ID}" -WorkItem "{WORK_ITEM}"
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# Output includes: 🔬 msbuild.binlog: https://helix...blob.core.windows.net/...
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```
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### Step 2: Dispatch parallel subagents for extraction
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Launch two `task` subagents (can run in parallel), each with a prompt like:
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```
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Download the msbuild.binlog from Helix job {JOB_ID} work item {WORK_ITEM}.
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Use the CI skill script to get the artifact URL:
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./scripts/Get-CIStatus.ps1 -HelixJob "{JOB_ID}" -WorkItem "{WORK_ITEM}"
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Download the binlog, load it, find the {TASK_NAME} task, and extract CommandLineArguments.
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Normalize paths (see table below) and sort args.
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Parse into individual args using regex: (?:"[^"]+"|/[^\s]+|[^\s]+)
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Report the total arg count prominently.
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```
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**Important:** When diffing, look for **extra or missing args** (different count), not value differences in existing args. A Debug/Release difference in `/define:` is expected noise — an extra `/analyzerconfig:` or `/reference:` arg is the real signal.
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### Step 3: Diff the results
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With two normalized arg lists, `Compare-Object` instantly reveals the difference.
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## Common Binlog Search Patterns
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When investigating binlogs, these search query patterns are most useful:
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- Search for a property: `analysislevel`
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- Search within a target: `under($target AddGlobalAnalyzerConfigForPackage_MicrosoftCodeAnalysisNetAnalyzers)`
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- Find all properties matching a pattern: `GlobalAnalyzerConfig`
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## Path Normalization
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Helix work items run on different machines with different paths. Normalize before comparing:
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| Pattern | Replacement | Example |
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|---------|-------------|---------|
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| `/datadisks/disk1/work/[A-F0-9]{8}` | `{W}` | Helix work directory (Linux) |
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| `C:\h\w\[A-F0-9]{8}` | `{W}` | Helix work directory (Windows) |
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| `Program-[a-f0-9]{64}` | `Program-{H}` | Runfile content hash |
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| `dotnetSdkTests\.[a-zA-Z0-9]+` | `dotnetSdkTests.{T}` | Temp test directory |
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### After normalizing paths, focus on structural differences
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> ⚠️ **Ignore value-only differences in existing args** (e.g., Debug vs Release in `/define:`, different hash paths). These are expected configuration differences. Focus on **extra or missing args** — a different arg count indicates a real build behavior change.
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## Example: CscArguments Investigation
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A merge PR (release/10.0.3xx → main) had 208 CSC args vs 207 on main. The diff:
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```
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FAIL-ONLY: /analyzerconfig:{W}/p/d/sdk/11.0.100-ci/Sdks/Microsoft.NET.Sdk/analyzers/build/config/analysislevel_11_default.globalconfig
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```
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### What the binlog properties showed
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Both builds had identical property resolution:
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- `EffectiveAnalysisLevel = 11.0`
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- `_GlobalAnalyzerConfigFileName = analysislevel_11_default.globalconfig`
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- `_GlobalAnalyzerConfigFile = .../config/analysislevel_11_default.globalconfig`
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### The actual root cause
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The `AddGlobalAnalyzerConfigForPackage` target has an `Exists()` condition:
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```xml
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<ItemGroup Condition="Exists('$(_GlobalAnalyzerConfigFile_...)')">
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<EditorConfigFiles Include="$(_GlobalAnalyzerConfigFile_...)" />
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</ItemGroup>
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```
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The merge's SDK layout **shipped** `analysislevel_11_default.globalconfig` on disk (from a newer roslyn-analyzers that flowed from 10.0.3xx), while main's SDK didn't have that file yet. Same property values, different files on disk = different build behavior.
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### Lesson learned
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Same MSBuild property resolution + different files on disk = different build behavior. Always check what's actually in the SDK layout, not just what the targets compute.
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## Anti-Patterns
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> ❌ **Don't manually split/parse CSC command lines in the main conversation.** CSC args have quoted paths, spaces, and complex structure. Regex parsing in PowerShell is fragile and burns turns on trial-and-error. Use a subagent.
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> ❌ **Don't assume the MSBuild property diff explains the behavior diff.** Two branches can compute identical property values but produce different outputs because of different files on disk, different NuGet packages, or different task assemblies. Compare the actual task invocation.
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> ❌ **Don't load large binlogs and browse them interactively in main context.** Use targeted searches rather than browsing interactively. Get in, get the data, get out.

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