๐ช๐ต๐ฎ๐ ๐๐๐ฒ๐ท๐ถ๐ป'๐ ๐ฎ๐ฌ๐ฎ๐ฑ ๐ง๐ผ๐ผ๐น ๐๐ถ๐๐๐ ๐ฅ๐ถ๐ด๐ต๐๐น๐ ๐ฃ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ฒ๐ฑ
The era of the single AI tool is ending.
I studied two recent lists. One is a 2025 front-end developer guide from Juejin. The other is a Chinese AI tool recommendation list.
Both lists show a shift. People no longer look for one tool to rule them all. Instead, they build a stack of specific tools for specific tasks.
The English-language market focuses on these paid options:
- Cursor for IDE-native workflows.
- GitHub Copilot for general coding.
- V0.dev for UI generation.
The Chinese market focuses on these paid options:
- DeepSeek for model integration.
- Tongyi Lingma for Alibaba Cloud users.
- Kimi for long-context tasks.
- Zhipu GLM for enterprise needs.
Both sides are moving toward the same pattern. You pick the right tool for the right job. The cost for a single subscription usually stays around twenty dollars per month.
My advice to junior engineers has changed. A year ago, I told them to pick one tool and master it. Now, I tell them to prepare for a multi-tool stack.
Here is how you should build your stack:
- Budget for two paid tools in your first three months.
- Expect to swap one tool out after ninety days.
- Keep a free tool like Codeium or V0.dev for tasks that do not need a subscription.
Free tiers are now good enough to act as real backups. They are no longer just demos.
The most successful developers will not be those who find the perfect tool. They will be the ones who build the most efficient stack.
Source: https://dev.to/ninghonggang/what-juejins-2025-tool-lists-got-right-about-the-multi-tool-stack-3lgp
Optional learning community: https://t.me/GyaanSetuAi