AI Engineering › 14 of 14

Errors, Logging & Testing

Production habits that keep pipelines reliable.

python

import logging
log = logging.getLogger(__name__)

try:
    data = load(path)
except FileNotFoundError as e:
    log.error("missing data: %s", e)
    raise

# test_metrics.py — run with: pytest
def test_accuracy():
    assert accuracy([1, 0], [1, 1]) == 0.5

Use virtual envs (venv / uv)
Pin dependencies
Seed randomness for reproducibility

⚡ Quick check

✓ Catch specific exceptions
✓ logging over print
✓ pytest + assert