microsoft · danegsta · Jan 30, 2026 · Jan 30, 2026 · Jan 31, 2026 · Jan 31, 2026
diff --git a/.github/workflows/build-test.yml b/.github/workflows/build-test.yml
@@ -44,7 +44,6 @@ jobs:
       uses: actions/setup-go@v5
       with:
         go-version-file: 'go.mod'
-        architecture: 'x64'
 
     - name: Setup prerequisites
       if: ${{ matrix.prereqsCommand != '' }}

diff --git a/AGENTS.md b/AGENTS.md
@@ -38,6 +38,9 @@ This codebase implements several custom Kubernetes types and controllers. Implem
 ### Avoid variable reuse (especially for errors)
 - If a function invokes multiple error-returning functions, use a different variable name for each error to avoid confusion.
 
+### Use sync.Mutex as pointers
+- In this codebase, `sync.Mutex` instances are used as pointers (`*sync.Mutex`). Create them with `&sync.Mutex{}` and pass them around as pointer values.
+
 ## Prefer extending existing interfaces over creating new ones
 - It's safe to extend existing interfaces when we need new functionality; we don't need to worry about breaking existing implementations because we control all of them. This also helps to keep the codebase simpler and more consistent.
 
@@ -58,6 +61,9 @@ Place new code in the correct location according to the project's structure:
 - Use `OpenFile()`, or (for temporary files) `OpenTempFile()` functions from github.com/microsoft/dcp/pkg/io package to open files. This function takes care of using appropriate file permissions in a cross-platform way.
 - Always close files after no longer needed, either by calling `Close()` from the method that opened the file (with `defer` statement), or when the lifetime context.Context of the file owner expires.
 
+## Test patterns
+- Avoid usage of time.Sleep in tests to enforce timing. Use test helpers and synchronization primitives to make the timing as deterministic as possible to avoid non-deterministic test failures.
+
 ## Code generation
 - Run `make generate` after making changes to API definitions (files under `api/v1` folder).
 - Run `make generate-grpc` after making changes to protobuf definitions (files with `.proto` extension).

diff --git a/Makefile b/Makefile
@@ -114,6 +114,7 @@ DELAY_TOOL ?= $(TOOL_BIN)/delay$(exe_suffix)
 LFWRITER_TOOL ?= $(TOOL_BIN)/lfwriter$(exe_suffix)
 PARROT_TOOL ?= $(TOOL_BIN)/parrot$(exe_suffix)
 PARROT_TOOL_CONTAINER_BINARY ?= $(TOOL_BIN)/parrot_c
+DEBUGGEE_TOOL ?= $(TOOL_BIN)/debuggee$(exe_suffix)
 GO_LICENSES ?= $(TOOL_BIN)/go-licenses$(exe_suffix)
 PROTOC ?= $(TOOL_BIN)/protoc/bin/protoc$(exe_suffix)
 
@@ -335,9 +336,9 @@ endif
 # mirrored there.
 
 ifeq (4.4,$(firstword $(sort $(MAKE_VERSION) 4.4)))
-TEST_PREREQS := generate-grpc .WAIT build-dcp build-dcptun-containerexe delay-tool lfwriter-tool parrot-tool parrot-tool-containerexe
+TEST_PREREQS := generate-grpc .WAIT build-dcp build-dcptun-containerexe delay-tool lfwriter-tool parrot-tool parrot-tool-containerexe debuggee-tool cache-delve
 else
-TEST_PREREQS := generate-grpc build-dcp build-dcptun-containerexe delay-tool lfwriter-tool parrot-tool parrot-tool-containerexe
+TEST_PREREQS := generate-grpc build-dcp build-dcptun-containerexe delay-tool lfwriter-tool parrot-tool parrot-tool-containerexe debuggee-tool cache-delve
 endif
 
 .PHONY: test-prereqs
@@ -362,7 +363,7 @@ test: test-prereqs ## Run all tests in the repository
 # NOTE: Keep scripts/test-ci.ps1 in sync with test-ci (see comment above TEST_PREREQS).
 .PHONY: test-ci
 test-ci: test-ci-prereqs ## Runs tests in a way appropriate for CI pipeline, with linting etc.
-	$(GO_BIN) test ./... $(TEST_OPTS)
+	$(GO_BIN) test -tags integration ./... $(TEST_OPTS)
 
 ## Development and test support targets
 
@@ -425,6 +426,18 @@ else
 	GOOS=linux $(GO_BIN) build -o $(PARROT_TOOL_CONTAINER_BINARY) github.com/microsoft/dcp/test/parrot
 endif
 
+# debuggee tool is used for DAP proxy integration testing.
+# CLEAR_GOARGS ensures it is built for the native architecture (required for Delve debugging).
+.PHONY: debuggee-tool
+debuggee-tool: $(DEBUGGEE_TOOL)
+$(DEBUGGEE_TOOL): $(wildcard ./test/debuggee/*.go) | $(TOOL_BIN)
+	$(CLEAR_GOARGS) $(GO_BIN) build -gcflags="all=-N -l" -o $(DEBUGGEE_TOOL) github.com/microsoft/dcp/test/debuggee
+
+# cache-delve ensures the Delve debugger is downloaded for DAP tests
+.PHONY: cache-delve
+cache-delve:
+	@$(CLEAR_GOARGS) $(GOTOOL_BIN) github.com/go-delve/delve/cmd/dlv version
+
 .PHONY: httpcontent-stream-repro
 httpcontent-stream-repro:
 	dotnet build test/HttpContentStreamRepro.Server/HttpContentStreamRepro.Server.csproj

diff --git a/NOTICE b/NOTICE
@@ -3440,6 +3440,216 @@ https://github.com/google/gnostic-models/blob/v0.7.0/LICENSE
 
 ----------------------------------------------------------
 
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+https://github.com/google/go-dap/blob/v0.12.0/LICENSE
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 github.com/google/pprof/profile v0.0.0-20260115054156-294ebfa9ad83 - Apache-2.0
 https://github.com/google/pprof/blob/294ebfa9ad83/LICENSE
 

diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@
 
 **Developer Control Plane (DCP)** is a local application runner for multi-service, polyglot applications. It integrates your code, emulators, and containers to give you a development environment with minimum remote dependencies and maximum ease of use.
 
-DCP exposes a Kubernetes-compatible API (using custom resource definitions) for describing and managing workloads. Object status change notifications allow clients to monitor the state of the application as the run progresses. 
+DCP exposes a Kubernetes-compatible API (using custom resource definitions) for describing and managing workloads. Object status change notifications allow clients to monitor the state of the application as the run progresses.
 
 DCP integrates with development tools such as [Microsoft Aspire](https://learn.microsoft.com/dotnet/aspire/), Visual Studio, and VS Code, enabling IDE-based execution and debugging of application components.
 
@@ -14,7 +14,7 @@ DCP integrates with development tools such as [Microsoft Aspire](https://learn.m
 - **IDE Integration**: Execute and debug application components directly from VS Code or Visual Studio
 - **Kubernetes-Compatible API**: Describe workloads using a language-agnostic API built on Kubernetes custom resource definitions
 - **Process & Container Lifecycle Management**: Automatically manage the lifecycle and cleanup of executed processes and containers
-- **Network management**: DCP has several facilities to help with service-to-service and service-to-container communication such as dynamic port allocation, injecting port information into services and containers via command-line arguments and environment variables, stable ports for clients of  multi-replica services, isolated container networks, and a tunnel for container-to-host communication 
+- **Network management**: DCP has several facilities to help with service-to-service and service-to-container communication such as dynamic port allocation, injecting port information into services and containers via command-line arguments and environment variables, stable ports for clients of multi-replica services, isolated container networks, and a tunnel for container-to-host communication
 
 DCP is implemented as a single binary (`dcp`) that can run in one of several modes depending on how it is invoked. The main modes of operation are:
 - `dcp start-apiserver` - runs the DCP API server that holds the workload model and exposes a Kubernetes-compatible API for managing workloads using the [Tilt API server library](https://github.com/tilt-dev/tilt-apiserver). The API server is Kubernetes-compatible but using custom resource definitions. This is the main entry point for DCP; users or other tools such as Aspire invoke DCP in this mode to launch the API server and controllers.