diff --git a/README.md b/README.md
index f4a6a60..bb5b00c 100644
--- a/README.md
+++ b/README.md
@@ -120,6 +120,8 @@ The library also provides some environment variables, which may be useful:
   - `DG_JIT_PRINT_COMPILER_COMMAND`: `0` or `1`, print NVCC compilation command, `0` by default
 - Post optimization
   - `DG_JIT_DISABLE_FFMA_INTERLEAVE`: `0` or `1`, disable FFMA-interleaving optimization, `0` by default
+- Heuristic selection
+  - `DG_PRINT_AUTOTUNE`: `0` or `1`, print selected configs for each shape, `0` by default
 - Testing
   - `DG_NSYS_PROFILING`: `0` or `1`, Nsight-system compatible testing, `0` by default
 
diff --git a/deep_gemm/jit_kernels/tuner.py b/deep_gemm/jit_kernels/tuner.py
index 9a8b6f2..4fc9283 100644
--- a/deep_gemm/jit_kernels/tuner.py
+++ b/deep_gemm/jit_kernels/tuner.py
@@ -74,8 +74,7 @@ class JITTuner:
 
         # Cache the best runtime and return
         if int(os.getenv('DG_JIT_DEBUG', 0)) or int(os.getenv('DG_PRINT_AUTOTUNE', 0)):
-            print(
-                f'Best JIT kernel {name} with keys {keys} has tuned keys {best_keys} and time {best_time}')
+            print(f'Best JIT kernel {name} with keys {keys} has tuned keys {best_keys} and time {best_time}')
         self.tuned[signature] = (best_runtime, best_keys)
         return best_runtime, best_keys