Pointing to internet articles are slightly tricky today, due to the too many of them. I would break this into broadly two categories: 1. Chat Interface based - All General Purpose. All questions are good questions. However, each of these Chat GPT, Grok, Gemini, and Claude have personality. One more resonate more with someone than other. 2. Claude Code, Co pilot - Here you want to talk to the tool in fairly closed context based. These are called RAG Based. You can ask #1 about it. 3. LLM Direct - you already are deep into coding, and u want to leverage the power of LLMs, like Open AI, Opus, Sonnet, Grok etc.

Short answer, there is single path, key lies in asking open ended questions and Chat Interface provides very good path forward. They are very good in directing about itself or even other chat interface. Hope this helps

Honestly, the biggest challenge with AI tools isn't just picking one, it's explaining to management that they don't replace the need for deep architectural knowledge. Most managers think Copilot means 2x speed, but they forget about the "review debt" it creates. I’ve found that focusing on the ecosystem rather than just the syntax is the only way to stay ahead. I actually wrote a breakdown on why the Python ecosystem remains the backbone of this shift, which might be exactly what your manager needs to see to understand the bigger picture: https://codebit-daily.hashnode.dev/why-python-is-still-the-k...