Claude Code VS Codex VS OpenCode
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Top Comments (10)
Using Codex GPT 5.5. in VS Code every day now writing pretty complex C++ -- excellent integration, flawless code generation and amazing reasoning abilities. I gave up on Anthropic.
Opencode is miles ahead due to the customization options, claude-code is great out of the box but it is a closed (limited) product. The only real competitor opencode has atm is Pi imho
I enjoy using OpenCode. I like the polished TUI and the native support for different models. The desktop app isn't too bad either.
I would have tested different harnesses with the same local model
OpenCode also has a plan mode, where it first goes through the repo and plans every change before implementing it. It works accessible with all models, by pressing TAB
@NeuralNine perhaps you didn't include Pi since vanilla Pi it is a bit raw for beginners, but, it also preserves tokens from initial context bloat. Nonetheless, for out-of-box tunable harnesses with solid core tools hash edit, write ,bash with outputsink, read with no subprocess overhead & extras like ast_*, ctx_* , lsp, debug, eval (persistent python for e.g.), subagents (yes, bloat, but useful for complex tasks) and solid Rust performance. Oh-my-pi is #1 for me.
is that posible to use opencode with chatgpt without using codex? no codex limits i mean using my chatgpt subscription....
Open code is best
talk about the future of machine learning , please .
What is that terminal/tui you use?
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Top Comments (10)
Using Codex GPT 5.5. in VS Code every day now writing pretty complex C++ -- excellent integration, flawless code generation and amazing reasoning abilities. I gave up on Anthropic.
Opencode is miles ahead due to the customization options, claude-code is great out of the box but it is a closed (limited) product. The only real competitor opencode has atm is Pi imho
I enjoy using OpenCode. I like the polished TUI and the native support for different models. The desktop app isn't too bad either.
I would have tested different harnesses with the same local model
OpenCode also has a plan mode, where it first goes through the repo and plans every change before implementing it. It works accessible with all models, by pressing TAB
@NeuralNine perhaps you didn't include Pi since vanilla Pi it is a bit raw for beginners, but, it also preserves tokens from initial context bloat. Nonetheless, for out-of-box tunable harnesses with solid core tools hash edit, write ,bash with outputsink, read with no subprocess overhead & extras like ast_*, ctx_* , lsp, debug, eval (persistent python for e.g.), subagents (yes, bloat, but useful for complex tasks) and solid Rust performance. Oh-my-pi is #1 for me.
is that posible to use opencode with chatgpt without using codex? no codex limits i mean using my chatgpt subscription....
Open code is best
talk about the future of machine learning , please .
What is that terminal/tui you use?