Building a Python Workflow That Catches Bugs Before Production

📰 Towards Data Science

Building a Python workflow to catch bugs before production using modern tooling

intermediate Published 4 Apr 2026

Action Steps

Set up a code development workflow using tools like linters and formatters
Use testing techniques to catch mistakes before code is run
Implement automated tasks to catch issues when saving code files or committing changes to GitHub
Run a series of tests to verify code behavior and performance
Use a toolchain to automate tasks and catch bugs before deployment to production

Who Needs to Know This

Software engineers and DevOps teams can benefit from this workflow to identify defects earlier in the software lifecycle, reducing bugs and improving code quality

Key Insight

💡 Using a combination of tools and testing techniques can help catch bugs earlier in the software lifecycle