Writing code is only half the job. The other half is proving that it behaves the way you think it...
Il testing rivela i failure scenarios, non la correctness del codice: con l'AI che genera veloce, ignorare edge cases aumenta il rischio di bug in produzione. Tech leader: prioritizzare aggressive testing dei casi critici, non coverage percentuale, prima del deploy.
Writing code is only half the job. The other half is proving that it behaves the way you think it does — especially when everything goes wrong.
What if your code looks perfect, passes every test you wrote, gets a green CI check...
and is still wrong?
That question becomes even more interesting now that AI can generate functions, APIs, tests, mocks, documentation, and sometimes entire features in minutes.
Software development is becoming faster.
A deep dive from the quality engineering crisis in the AI era to the question of what makes humans irreplaceable — the 60x…
AI is great at writing tests fast, and good at writing tests that look real but verify the wrong...
Why architecture and validation matter even more in the age of AI coding agents Everyone...
As AI coding assistants like Claude Code, Cursor, and GitHub Copilot become daily drivers in modern...
You Think Testing AI Means Testing the Process? Wrong A Testing Problem My...
Why the smartest tool in your stack still needs a skeptical human behind it I review a lot...
