Brothers, in this issue, we directly installed and tested DeepSeek Harness from scratch.
I'm not the kind of person who just clicks and takes a look and blows it off. I ran all the Web UI, remote access, multiple models, plug-ins, Agent mode, execution traces, Issue/PR analysis, and session branches. The most interesting thing is that I used DeepSeek V4 Pro and used the same set of prompt words to play the game that Claude Code made yesterday again, head-on.
Holy sh*t this is an absolute gold mine
I swapped opus 5 for deepseek v4-flash and it’s basically free and someone cracked a way to run its subagents as a self-improving loop inside codex [2-minute setup, here’s the play] 1. clone the repo: codex-self-imrpoving-loop 2. hand
DeepSeek V4 Pro and Gemini 3.7 Flash shipped just one day apart
But with DeepSeek's August 16 peak-hour price hike increasing cached inputs by 1,114%, which model actually wins per completed dollar? Meet the real 7-2-1 agentic bill breakdown.
What AI model is this? Grok-4.6, GPT-5.6, Opus 5, Gemini 3.7 Flash, Kimi K, or DeepSeek V4 Flash…
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