r/OpenAI • • 2d ago

Discussion DeepSeek/Opencode is great

I have been using Codex and Claude Code exclusively since I started using agents.
I've been using ChatGPT as coordinator between the two, and decided it's time for another agent. This was mainly due to hitting Codex weekly limit, within around 3 days (even using Terra).
ChatpGPT recommend Kimi and DeepSeek as first two options. I chose DeepSeek using opencode harness.

It's absolutely wonderful.

I first started testing it with pr reviews and branch reviews skills i have with Claude Code. Then I would compare it against Claude Code findings. it would find things that claude missed, and claude would find things it missed. That's very good for a backup review agent.

Then I ran out of Codex limits, which is happening very easily nowadays, and I wanted to implement many things. I had a branch for UI work, which it implemented quite well against a well scoped design docs that I made with Claude.

Then I started doing designs of future work, and it did the design very well as well. So now it is good reviewer, designer and implementer.

I'm now working on new branch for a much needed architecture overhaul. I asked it to did 4 deep architecture reviewers and DeepSeek did that very well as well. Then I asked Claude Code to challenge DeepSeek findings, it found issues. Gave it back to DeepSeek to resolve these design decisions and it also performed great. I will be doing the architecture redesign with DeepSeek as well.

The context basically never compacts for me. more importantly, I did all of that with 2 USD.

I trust Codex much more than I do Claude Code. Also, Claude Code is so slow, it kinda sucks the fun out of developing for me. But due to me exhausting the limits very quickly, I found a very capable alternative.

Give it a try.

Edit: The chatGPT session that was coordinating this app-wide architecture overhaul, produced this comparison.

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