Alibaba's Qoder puts an AI agent workbench in everyone's hands

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Alibaba's Qoder puts an AI agent workbench in everyone's hands

The agents are no longer just for developers. On a morning when the tools race is heating up across the board, Alibaba rebuilt its flagship Qoder into a workbench for non-coders, and Japan's Kioxia signaled that memory — not just compute — is the next bottleneck in the AI buildout.

Alibaba has rebuilt Qoder around natural language, turning its AI coding agent into a workbench anyone can drive — no code required. The new version drops the assumption that you start from source, instead letting users describe a goal in plain language and have the agent assemble the work: development, prototyping, data processing, tying together repos, project-management tools, cloud services and internal systems via more than 40 connectors, 70 plugins and 20,000-plus skills. Behind it, Auto scheduling picks among built-in frontier models — including Qwen3.8-Max — a best fit for effect, speed and cost, while a separate "general mode" targets people who never touch code.

The redesign is aimed squarely at widening the funnel. Long-horizon work gets structure through dedicated Plan and Goal flows plus side-tasks that don't interrupt the main thread, and interaction has gone multimodal: a desktop companion and real-time voice let you start, adjust or take over a task mid-run and leave voice memos along the way. Since its global debut in August 2025 the family — IDE, CLI, JetBrains plugin, mobile, the QoderWake digital employee and Cloud Agents — has drawn more than 6 million users and over 100,000 enterprise customers. The pitch, in other words, is that agentic software becomes something your non-technical colleagues use too.


Kioxia is building a third chip plant in Japan to feed AI's insatiable appetite for memory. The NAND maker said it will construct a new fab in northern Japan's Iwate prefecture alongside manufacturing partner SanDisk, targeting 332-layer NAND output aimed squarely at AI data-center demand. It is a direct response to a global storage crunch that is pushing up the cost of electronics as training and inference workloads chew through memory.

The move is a reminder that the AI buildout is a memory story as much as a compute one. Compute spending has dominated every headline this week, but flash storage is a quieter choke point — every frontier model needs terabytes around it. This is the third Iwate plant, and it lands as the largest memory makers race to expand capacity. Watch for the others to answer with fabs of their own before the year is out.

What to watch: whether Alibaba's consumer push moves Qoder from developer tool to internal-team default, and how fast Kioxia's rivals announce matching memory expansions.

Do you see agent workbenches like Qoder replacing separate developer and no-code tools — or just bolting on top of them?

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