生信人的大模型购车指南（不要迷信Claude code/Codex）
Merged summary
TL;DR - A practical opinion piece argues that affordable Chinese coding assistants are sufficient for routine bioinformatics, while Claude Code and Codex are most valuable for complex, large-scale engineering. The key is matching model capabilities, cost, reliability, and privacy to the workflow.
- WorkBuddy, TRAE, Qoder, and KimiWork are recommended for common tasks such as RNA-seq, single-cell analysis, dependency troubleshooting, and visualization.
- Claude Code is favored for large legacy repositories, cross-file refactoring, and debugging complex Nextflow or Snakemake pipelines.
- Codex is positioned for parallel GitHub tasks, cross-language modernization, test generation, and rapid algorithm prototyping.
- Prompting, pipeline design, statistical judgment, reproducibility, and data-governance requirements matter more than small benchmark differences.
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生信人的大模型购车指南（不要迷信Claude code/Codex）
TL;DR - A practical opinion piece argues that affordable Chinese coding assistants are sufficient for routine bioinformatics, while Claude Code and Codex are most valuable for complex, large-scale engineering. The key is matching model capabilities, cost, reliability, and privacy to the workflow.
- WorkBuddy, TRAE, Qoder, and KimiWork are recommended for common tasks such as RNA-seq, single-cell analysis, dependency troubleshooting, and visualization.
- Claude Code is favored for large legacy repositories, cross-file refactoring, and debugging complex Nextflow or Snakemake pipelines.
- Codex is positioned for parallel GitHub tasks, cross-language modernization, test generation, and rapid algorithm prototyping.
- Prompting, pipeline design, statistical judgment, reproducibility, and data-governance requirements matter more than small benchmark differences.