𝗪𝗵𝘆 𝘁𝗵𝗲 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝟮𝟬𝟮𝟱 𝗔𝗜 𝗜𝗗𝗘 𝗥𝗮𝗻𝗸𝗶𝗻𝗴𝘀 𝗔𝗿𝗲 𝗪𝗿𝗼𝗻𝗴
AI IDE rankings are missing the mark.
I read two recent Chinese-language IDE rankings from Juejin. They both focus on the same eight or nine autocomplete tools. One list scores Tencent CodeBuddy at 9.6 and Sourcegraph Cody at 8.2. The second list is almost identical. Seven names appear in both lists with the exact same decimal scores.
This tells me the rankings are likely copy-pasted rather than written from scratch.
More importantly, these lists score a 2024 product category. They focus on autocomplete latency and basic enterprise features like SSO.
The real market has moved on.
If you look at GitHub trending recaps, the conversation is different. Engineers are not looking for autocomplete with chat anymore. They are looking for agent runtimes.
The current trends focus on: • Agent-S for GUI automation • Graphiti for memory graphs • Supermemory for persistent context • FastMCP for plugin frameworks • AGENTS.md for project context
Tools like Cursor and Claude Code dominate the mindshare of developers on Twitter, Reddit, and Hacker News. These tools allow agents to call memory layers and write to structured files. You will not find them in the recent Juejin rankings.
If you use these Chinese-language rankings to decide what to buy in 2026, you are reading the wrong document.
Those rankings are useful for tracking domestic products in the Asia-Pacific region. They help you understand enterprise procurement in that specific market.
However, they do not reflect where engineers spend their time and money today.
For the best tools, look at GitHub trending recaps and reviews of agentic workflows. The gap between old autocomplete tools and new agent runtimes is growing. Do not make tooling decisions based on lagging indicators.
Optional learning community: https://t.me/GyaanSetuAi