Most disappointing AI output comes from underspecified prompts, not weak models. Here are the patterns that reliably turn vague requests into consistent, usable results.
Python is easy to write badly and pleasant to write well. These are the habits — comprehensions, context managers, type hints, virtual environments — that make the difference.
Most CI/CD advice covers tools. The hard part is trust: a pipeline that is slow, flaky or unclear gets routed around, and then it is protecting nothing.
Most teams inherit a branching model rather than choosing one. Here is how the main options differ, what each assumes about your release process, and how to pick deliberately.