diff --git a/docs/make.jl b/docs/make.jl
index d0c6161e8..e1f715550 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -28,7 +28,7 @@ makedocs(
     sitename    = "ModelPredictiveControl.jl",
     #format = Documenter.LaTeX(platform = "none"),
     doctest     = true,
-    plugins     = [links,CodeBlocks()],
+    plugins     = [links, CodeBlocks()],
     format      = Documenter.HTML(
         prettyurls = get(ENV, "CI", nothing) == "true",
         edit_link = "main"
diff --git a/docs/src/manual/installation.md b/docs/src/manual/installation.md
index 90dc0d819..4b2c57b07 100644
--- a/docs/src/manual/installation.md
+++ b/docs/src/manual/installation.md
@@ -2,6 +2,10 @@
 
 To install the `ModelPredictiveControl` package, run this command in the Julia REPL:
 
+```@codeblocks
+line_counter = :continue
+```
+
 ```julia
 using Pkg; Pkg.activate(); Pkg.add("ModelPredictiveControl")
 ```
diff --git a/docs/src/manual/linmpc.md b/docs/src/manual/linmpc.md
index 9a1a1c109..df2fe2a9b 100644
--- a/docs/src/manual/linmpc.md
+++ b/docs/src/manual/linmpc.md
@@ -47,6 +47,10 @@ the following linear model accurately describes the plant dynamics:
 We first need to construct a [`LinModel`](@ref) objet with [`setop!`](@ref) to handle the
 operating points:
 
+```@codeblocks
+line_counter = :continue
+```
+
 ```@example 1
 using ModelPredictiveControl, ControlSystemsBase
 G = [ tf(1.90, [18, 1]) tf(1.90, [18, 1]);
diff --git a/docs/src/manual/mtk.md b/docs/src/manual/mtk.md
index 90181d439..5c3c43897 100644
--- a/docs/src/manual/mtk.md
+++ b/docs/src/manual/mtk.md
@@ -24,6 +24,10 @@ the last section.
 
 We first construct and instantiate the pendulum model:
 
+```@codeblocks
+line_counter = :continue
+```
+
 ```@example 1
 using ModelPredictiveControl, ModelingToolkit
 using ModelingToolkit: D_nounits as D, t_nounits as t
diff --git a/docs/src/manual/nonlinmpc.md b/docs/src/manual/nonlinmpc.md
index dd6802edc..671f0d25a 100644
--- a/docs/src/manual/nonlinmpc.md
+++ b/docs/src/manual/nonlinmpc.md
@@ -40,6 +40,10 @@ the end of the pendulum in kg, all bundled in the parameter vector ``\mathbf{p}
 constructor assumes by default that the state function `f` is continuous in time, that is,
 an ordinary differential equation system (like here):
 
+```@codeblocks
+line_counter = :continue
+```
+
 ```@example man_nonlin
 using ModelPredictiveControl
 function f(x, u, _ , p)