Qoder
Qoder
Qoder describes itself as an AI-powered code editor and agentic coding platform for Windows, macOS and Linux. The official site lists code completion, test generation, AI Agent, JetBrains Plugin and CLI. The documentation expands this into Agent/Ask modes, Browser Agent, Planning Agent, Code Review Agent, MCP, custom models, Repo Wiki, Knowledge Engine, Quest execution environments, terminal sandbox, skills, hooks, subagents, team billing and Teams OpenAPI analytics.
Quick answers
At a glance
- Overview
- An agentic AI coding platform with desktop IDE, JetBrains plugin, CLI, Quest workflows, repo knowledge and team analytics.
- Best fit
- Developers and engineering teams evaluating Chinese AI coding IDEs, Quest-style agent workflows and repository-aware coding assistants.
- Trust
- 4/4 sources verified, recently checked · 2026-05-17
- Coverage
- 100/100
Editorial verdict
Best for
Developers and engineering teams evaluating Chinese AI coding IDEs, Quest-style agent workflows and repository-aware coding assistants.
Avoid if
Avoid rolling it out to sensitive repositories before reviewing model routing, telemetry, team permissions, logs and credit controls.
Why it matters
Qoder is a distinct AI coding product, so it fits better in a dedicated AI Coding category than in generic LLM/API or productivity buckets.
Pricing
Free download; paid plans and credits are documented in Qoder pricing and billing docs
Payment
Free download, Qoder billing, Credits, Teams plan, Shared add-on credits
Commercial use
Commercial use should follow the current product, API, model license and billing terms.
Privacy
Review prompt, file, media upload, retention and training-use terms before sensitive workloads.
Use-case fit
Agentic coding and Quest workflows
StrongQuest docs cover agent mode, experts mode, execution environments, task management, terminal and sandbox behavior.
Repository knowledge and code review
StrongRepo Wiki, Knowledge Engine and Code Review Agent make it relevant for repository-scale work.
Team analytics
MediumTeams OpenAPI docs expose AI coding metrics, usage APIs, member APIs and API-key security guidance.
Global user checklist
Model names, quotas, release status, regional access and commercial terms can change quickly; recheck official sources before procurement or production use.
Pros
- - Clear English website and documentation
- - Covers IDE, plugin, CLI and remote agent workflows
- - Team analytics and OpenAPI paths exist for organizations
Cons
- - Pricing, credit consumption and team controls require account-level verification
- - Company/operator details are less explicit on the public English homepage than product features
Decision paths
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Sources
official · en · verified 2026-05-17
Confirms Qoder positioning, desktop downloads, JetBrains Plugin, CLI and agentic coding messaging.
docs · en · verified 2026-05-17
Lists product documentation across CLI, Quest, agents, Repo Wiki, MCP, pricing, billing and Teams OpenAPI.
pricing · en · verified 2026-05-17
Pricing documentation entry for plan and credit checks.
docs · en · verified 2026-05-17
Documents Quest-style agentic development workflows.