How to Test AI-Generated Code: A Practical Regression Workflow
Test AI-generated code with a runnable Python bug fix, nine regression tests, deliberate bad repairs and a review checklist that protects existing behaviour.
Practical guides to AI tools, prompts and workflows: what actually works, tested and written for people who use these tools daily.

Test AI-generated code with a runnable Python bug fix, nine regression tests, deliberate bad repairs and a review checklist that protects existing behaviour.

Give Codex clear repository rules, check instruction scope and protect existing behaviour with specific task prompts, review criteria and regression tests.

Check AI citations against their actual sources, record what each passage proves and run a tested local Python checker for missing quotations and review gaps.

Collect a relevant Android crash trace, remove private data and use AI to form a diagnosis you can verify with reproduction steps and a small test.

Practise English with AI and Urdu support using a 20-minute routine, reusable prompts, worked corrections and checks that show what you can do yourself.

An AI connected to Figma turned my Android camera app documents into 34 primary screens, 114 supporting flows and two offline HTML prototypes. The useful part was the table listing what it could not verify.

Explore 40 practical skills across AI, development, cybersecurity, design, marketing and business, with projects, learning paths and realistic career guidance.

Build a runnable paper-trading bot in Python with deterministic risk checks, tests, API-key safety, idempotent order design and honest AI limits.

Build and test a secure MCP server with Python SDK v2. Learn stdio, Streamable HTTP, Claude Desktop setup, debugging and tool-security controls.

Learn how AI Overviews and AI Mode change SEO, which Google requirements still matter, what GEO myths to ignore, and how to measure AI-search visibility.