Qoder CN Series:February 2026 product updates

Improved request handling in AI chat (Ask) mode when tools are disabled.

Introduced the Qwen-Coder-Qoder model:

• A model customized for end-to-end programming in Qoder, built on Qwen-Coder with large-scale reinforcement learning for the Qoder Agent framework, tools, and scenarios. Outperforms Cursor Composer-1 in real-world task resolution, with 50% higher accuracy in Windows terminal commands.

Upgraded completion and NES to NEXT.

• Transitions from passive completion to proactive prediction. Supports automatic dependency imports.

• Supports manual triggering of NEXT code completion.

Full database support (@database).

• Reference databases as context in Qoder Ask/Agent mode.

• Generate and execute SQL in the Query Console.

AGENTS.md support: auto-detected and loaded from the project root.

File restriction via .aiignore.md.

Tools can now edit files outside the project.

Multiple product experience improvements.

Supports IntelliJ 2026.1 EAP+.

Fixed several known issues.

Major model upgrade: Qwen-Coder-Qoder

A model customized for end-to-end programming, built on Qwen-Coder with large-scale reinforcement learning for the Agent framework, tools, and scenarios. Achieves excellent task resolution rates in real-world evaluations, with 50% higher accuracy in Windows terminal commands.

Quest autonomous programming (public beta)

• Autonomous programming agent: Independently delivers end-to-end, high-quality results without continuous human intervention.

  • Requirement alignment: Clarifies tasks before execution through intent recognition, requirement clarification, and collaborative spec creation.

  • Long-running tasks: Runs continuously and supervises tasks to completion.

  • Autonomous quality assurance: Independently verifies and fixes deliverable quality.

  • Continual evolution: Actively evolves, remembers your style, and learns new technologies.

• More scenarios: Quest recognizes intent and routes to the best-fit capability.

  • Spec-driven development: Align on requirements and constraints, then execute and accept clear, traceable results.

  • From idea to product: Build websites and prototypes from scratch with top-tier visual models for high design quality and usability.

Agentic Chat: Multi-agent parallel execution, built-in planning agent, and custom extensions.

• Built-in planning agent: Collaborate on execution plans before complex tasks to reduce rework and improve code quality and controllability.

• Custom extensions: Build intelligent workflows with custom agents (subagents), Skills, and Commands.

• Multi-agent parallel sessions: Run multiple sessions in parallel to handle different tasks simultaneously.

Repo Wiki (public beta, Enterprise Dedicated Edition)

• Auto-generates structured project documentation and continuously tracks code and document changes.

• When querying knowledge, requesting code explanations, or adding features, combines project analysis with indexed context for accurate answers and documentation support, giving the agent deeper codebase understanding.

Session stream display: Details for some tool calls now collapsed by default.