diff --git a/Project.toml b/Project.toml
index 5dde3a427..ebc70b5ab 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "DynamicPPL"
 uuid = "366bfd00-2699-11ea-058f-f148b4cae6d8"
-version = "0.30.4"
+version = "0.30.5"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -14,6 +14,7 @@ Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 ConstructionBase = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
+InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
 LogDensityProblemsAD = "996a588d-648d-4e1f-a8f0-a84b347e47b1"
diff --git a/docs/src/api.md b/docs/src/api.md
index 638f6f3ee..d7531af0f 100644
--- a/docs/src/api.md
+++ b/docs/src/api.md
@@ -212,6 +212,19 @@ And some which might be useful to determine certain properties of the model base
 DynamicPPL.has_static_constraints
 ```
 
+For determining whether one might have type instabilities in the model, the following can be useful
+
+```@docs
+DynamicPPL.DebugUtils.model_warntype
+DynamicPPL.DebugUtils.model_typed
+```
+
+Interally, the type-checking methods make use of the following method for construction of the call with the argument types:
+
+```@docs
+DynamicPPL.DebugUtils.gen_evaluator_call_with_types
+```
+
 ## Advanced
 
 ### Variable names
diff --git a/src/debug_utils.jl b/src/debug_utils.jl
index a614508bf..dcd3fcc37 100644
--- a/src/debug_utils.jl
+++ b/src/debug_utils.jl
@@ -5,6 +5,7 @@ using ..DynamicPPL: broadcast_safe, AbstractContext, childcontext
 
 using Random: Random
 using Accessors: Accessors
+using InteractiveUtils: InteractiveUtils
 
 using DocStringExtensions
 using Distributions
@@ -678,4 +679,83 @@ function has_static_constraints(
     return all_the_same(transforms)
 end
 
+"""
+    gen_evaluator_call_with_types(model[, varinfo, context])
+
+Generate the evaluator call and the types of the arguments.
+
+# Arguments
+- `model::Model`: The model whose evaluator is of interest.
+- `varinfo::AbstractVarInfo`: The varinfo to use when evaluating the model. Default: `VarInfo(model)`.
+- `context::AbstractContext`: The context to use when evaluating the model. Default: [`DefaultContext`](@ref).
+
+# Returns
+A 2-tuple with the following elements:
+- `f`: This is either `model.f` or `Core.kwcall`, depending on whether
+    the model has keyword arguments.
+- `argtypes::Type{<:Tuple}`: The types of the arguments for the evaluator.
+"""
+function gen_evaluator_call_with_types(
+    model::Model,
+    varinfo::AbstractVarInfo=VarInfo(model),
+    context::AbstractContext=DefaultContext(),
+)
+    args, kwargs = DynamicPPL.make_evaluate_args_and_kwargs(model, varinfo, context)
+    return if isempty(kwargs)
+        (model.f, Base.typesof(args...))
+    else
+        (Core.kwcall, Tuple{typeof(kwargs),Core.Typeof(model.f),map(Core.Typeof, args)...})
+    end
+end
+
+"""
+    model_warntype(model[, varinfo, context]; optimize=true)
+
+Check the type stability of the model's evaluator, warning about any potential issues.
+
+This simply calls `@code_warntype` on the model's evaluator, filling in internal arguments where needed.
+
+# Arguments
+- `model::Model`: The model to check.
+- `varinfo::AbstractVarInfo`: The varinfo to use when evaluating the model. Default: `VarInfo(model)`.
+- `context::AbstractContext`: The context to use when evaluating the model. Default: [`DefaultContext`](@ref).
+
+# Keyword Arguments
+- `optimize::Bool`: Whether to generate optimized code. Default: `false`.
+"""
+function model_warntype(
+    model::Model,
+    varinfo::AbstractVarInfo=VarInfo(model),
+    context::AbstractContext=DefaultContext();
+    optimize::Bool=false,
+)
+    ftype, argtypes = gen_evaluator_call_with_types(model, varinfo, context)
+    return InteractiveUtils.code_warntype(ftype, argtypes; optimize=optimize)
+end
+
+"""
+    model_typed(model[, varinfo, context]; optimize=true)
+
+Return the type inference for the model's evaluator.
+
+This simply calls `@code_typed` on the model's evaluator, filling in internal arguments where needed.
+
+# Arguments
+- `model::Model`: The model to check.
+- `varinfo::AbstractVarInfo`: The varinfo to use when evaluating the model. Default: `VarInfo(model)`.
+- `context::AbstractContext`: The context to use when evaluating the model. Default: [`DefaultContext`](@ref).
+
+# Keyword Arguments
+- `optimize::Bool`: Whether to generate optimized code. Default: `true`.
+"""
+function model_typed(
+    model::Model,
+    varinfo::AbstractVarInfo=VarInfo(model),
+    context::AbstractContext=DefaultContext();
+    optimize::Bool=true,
+)
+    ftype, argtypes = gen_evaluator_call_with_types(model, varinfo, context)
+    return only(InteractiveUtils.code_typed(ftype, argtypes; optimize=optimize))
+end
+
 end
diff --git a/test/debug_utils.jl b/test/debug_utils.jl
index b1897aa9b..50bb5d4be 100644
--- a/test/debug_utils.jl
+++ b/test/debug_utils.jl
@@ -186,4 +186,18 @@
             @test check_model(model; error_on_failure=true)
         end
     end
+
+    @testset "model_warntype & model_codetyped" begin
+        @model demo_without_kwargs(x) = y ~ Normal(x, 1)
+        @model demo_with_kwargs(x; z=1) = y ~ Normal(x, z)
+
+        for model in [demo_without_kwargs(1.0), demo_with_kwargs(1.0)]
+            codeinfo, retype = DynamicPPL.DebugUtils.model_typed(model)
+            @test codeinfo isa Core.CodeInfo
+            @test retype <: Tuple
+
+            # Just make sure the following is runnable.
+            @test (DynamicPPL.DebugUtils.model_warntype(model); true)
+        end
+    end
 end
diff --git a/test/runtests.jl b/test/runtests.jl
index 099c96f78..a832a0f08 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -61,6 +61,8 @@ include("test_util.jl")
             include("pointwise_logdensities.jl")
 
             include("lkj.jl")
+
+            include("debug_utils.jl")
         end
 
         @testset "compat" begin