diff --git a/sqlmesh/core/plan/evaluator.py b/sqlmesh/core/plan/evaluator.py
index abc7f2edc..13477c283 100644
--- a/sqlmesh/core/plan/evaluator.py
+++ b/sqlmesh/core/plan/evaluator.py
@@ -357,7 +357,7 @@ def _demote_snapshots(
         )
 
     def _restate(self, plan: EvaluatablePlan, snapshots_by_name: t.Dict[str, Snapshot]) -> None:
-        if not plan.restatements:
+        if not plan.restatements or plan.is_dev:
             return
 
         snapshot_intervals_to_restate = {
@@ -365,16 +365,15 @@ def _restate(self, plan: EvaluatablePlan, snapshots_by_name: t.Dict[str, Snapsho
             for name, intervals in plan.restatements.items()
         }
 
-        if plan.is_prod:
-            # Restating intervals on prod plans should mean that the intervals are cleared across
-            # all environments, not just the version currently in prod
-            # This ensures that work done in dev environments can still be promoted to prod
-            # by forcing dev environments to re-run intervals that changed in prod
-            #
-            # Without this rule, its possible that promoting a dev table to prod will introduce old data to prod
-            snapshot_intervals_to_restate.update(
-                self._restatement_intervals_across_all_environments(plan.restatements)
-            )
+        # Restating intervals on prod plans should mean that the intervals are cleared across
+        # all environments, not just the version currently in prod
+        # This ensures that work done in dev environments can still be promoted to prod
+        # by forcing dev environments to re-run intervals that changed in prod
+        #
+        # Without this rule, its possible that promoting a dev table to prod will introduce old data to prod
+        snapshot_intervals_to_restate.update(
+            self._restatement_intervals_across_all_environments(plan.restatements)
+        )
 
         self.state_sync.remove_intervals(
             snapshot_intervals=list(snapshot_intervals_to_restate),
diff --git a/sqlmesh/core/scheduler.py b/sqlmesh/core/scheduler.py
index ed7eee92d..260ef1b1b 100644
--- a/sqlmesh/core/scheduler.py
+++ b/sqlmesh/core/scheduler.py
@@ -293,6 +293,9 @@ def run(
         execution_time = execution_time or now()
 
         self.state_sync.refresh_snapshot_intervals(self.snapshots.values())
+        for s_id, interval in (restatements or {}).items():
+            self.snapshots[s_id].remove_interval(interval)
+
         if auto_restatement_enabled:
             auto_restated_intervals = apply_auto_restatements(self.snapshots, execution_time)
             self.state_sync.add_snapshots_intervals(auto_restated_intervals)
diff --git a/tests/core/test_integration.py b/tests/core/test_integration.py
index feaf08105..3964b3f97 100644
--- a/tests/core/test_integration.py
+++ b/tests/core/test_integration.py
@@ -359,6 +359,77 @@ def test_forward_only_model_regular_plan_preview_enabled(init_and_plan_context:
     assert dev_df["event_date"].tolist() == [pd.to_datetime("2023-01-07")]
 
 
+@time_machine.travel("2023-01-08 15:00:00 UTC")
+def test_forward_only_model_restate_full_history_in_dev(init_and_plan_context: t.Callable):
+    context, _ = init_and_plan_context("examples/sushi")
+
+    model_name = "memory.sushi.customer_max_revenue"
+    expressions = d.parse(
+        f"""
+        MODEL (
+            name {model_name},
+            kind INCREMENTAL_BY_UNIQUE_KEY (
+                unique_key customer_id,
+                forward_only true,
+            ),
+        );
+
+        SELECT
+          customer_id, MAX(revenue) AS max_revenue
+        FROM memory.sushi.customer_revenue_lifetime
+        GROUP BY 1;
+        """
+    )
+
+    model = load_sql_based_model(expressions)
+    assert model.forward_only
+    assert model.kind.full_history_restatement_only
+    context.upsert_model(model)
+
+    context.plan("prod", skip_tests=True, auto_apply=True)
+
+    model_kwargs = {
+        **model.dict(),
+        # Make a breaking change.
+        "query": model.query.order_by("customer_id"),  # type: ignore
+    }
+    context.upsert_model(SqlModel.parse_obj(model_kwargs))
+
+    # Apply the model change in dev
+    plan = context.plan_builder("dev", skip_tests=True).build()
+    assert not plan.missing_intervals
+    context.apply(plan)
+
+    snapshot = context.get_snapshot(model, raise_if_missing=True)
+    snapshot_table_name = snapshot.table_name(False)
+
+    # Manually insert a dummy value to check that the table is recreated during the restatement
+    context.engine_adapter.insert_append(
+        snapshot_table_name,
+        pd.DataFrame({"customer_id": [-1], "max_revenue": [100]}),
+    )
+    df = context.engine_adapter.fetchdf(
+        "SELECT COUNT(*) AS cnt FROM sushi__dev.customer_max_revenue WHERE customer_id = -1"
+    )
+    assert df["cnt"][0] == 1
+
+    # Apply a restatement plan in dev
+    plan = context.plan("dev", restate_models=[model.name], auto_apply=True)
+    assert len(plan.missing_intervals) == 1
+
+    # Check that the dummy value is not present
+    df = context.engine_adapter.fetchdf(
+        "SELECT COUNT(*) AS cnt FROM sushi__dev.customer_max_revenue WHERE customer_id = -1"
+    )
+    assert df["cnt"][0] == 0
+
+    # Check that the table is not empty
+    df = context.engine_adapter.fetchdf(
+        "SELECT COUNT(*) AS cnt FROM sushi__dev.customer_max_revenue"
+    )
+    assert df["cnt"][0] > 0
+
+
 @time_machine.travel("2023-01-08 15:00:00 UTC")
 def test_full_history_restatement_model_regular_plan_preview_enabled(
     init_and_plan_context: t.Callable,