u/DueExchange4504

Lately I feel like the conversation around AI coding has shifted from just "which model is best" to which agent + model combination actually works well in real day-to-day development

Curious what people here are genuinely using regularly now:

• Claude Code + Sonnet?
• Codex + GPT-5?
• Cursor with Claude/OpenAI?
• DeepSeek/Qwen/Minimax setups?

And beyond benchmarks, what actually holds up during real work?

Things I'm curious about:

• which setup feels the most reliable
• which one handles larger repos best
• what breaks the least during long sessions
• what gives the best balance between speed vs accuracy
• whether autonomous agents are actually useful long term or still mostly hype

I've noticed some models seem smart in isolation, but once you put them inside an agent workflow (tool calling, repo edits, terminal usage, context management, etc.) the experience changes a lot

Also feels like cost becomes a huge factor once you start using these tools heavily every day

Would love to hear honest experiences from people using these setups daily rather than just benchmark comparisons....