I run all three daily — not against each other, but together. Here is what I learned.
The Setup
I built Bridge ACE, an open-source platform that coordinates multiple AI engines in real-time via WebSocket. Claude, Codex, Gemini, Grok, and Qwen — all working in the same session, on the same codebase, communicating autonomously.
This is not a benchmark. This is 3 months of daily production use.
Claude Code (Opus 4.6)
Best at: Architecture decisions, code review, complex multi-file refactors, understanding context across large codebases.
Weakness: Expensive. Token-hungry on large contexts. Sometimes over-engineers.
Real example: Claude restructured our entire WebSocket handler (2,400 lines) into 6 clean modules in one session. No other engine got the dependency graph right on the first try.
Codex CLI (GPT-5.4)
Best at: Fast task execution, file operations, shell commands, quick fixes.
Weakness: Loses context between sessions. Forgets multi-step plans. Needs frequent re-prompting.
Real example: Codex ran 8 security audits in one day — scanning repos, generating reports, filing findings. Perfect for parallelizable grind work.
Gemini CLI
Best at: Research, summarization, analyzing large documents, brainstorming.
Weakness: Code generation quality is below Claude and Codex. Sometimes hallucinates API signatures.
Real example: Gemini analyzed 102 math bounty problems and ranked them by solvability in under 10 minutes. Claude would have burned 50k tokens on the same task.
The Real Insight
The question is not which one is best. The question is: why are you using only one?
In Bridge ACE, Claude reviews what Codex writes. Gemini researches what Claude needs to decide. Codex executes what Claude plans. They compensate for each other.
A single agent hits its ceiling fast. A coordinated team does not.
How to Try It
git clone https://github.com/Luanace-lab/bridge-ide.git
cd bridge-ide && ./start_platform.sh
All three engines. One WebSocket. Real-time coordination.
I do not write code. I direct AI agents. Bridge ACE is the result.
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