Alibaba Cloud AI Coding Assistant: Setup and Daily Use

To use the Alibaba Cloud AI coding assistant, first identify the current product and edition, follow its official installation instructions, then test a small change you can review. Alibaba Cloud’s product documentation↗ (opens in a new tab) calls the coding product Qoder CN, formerly TONGYI Lingma. That matters when old tutorials send you toward a different installer or sign-in path.

Keep your project’s requirements and progress outside the trial conversation. fenbs can hold that record while you manually carry a short context summary into this assistant, then retain the reviewed result when you switch tools.

How do you get started without following an old tutorial?

1. Open the vendor’s current product overview. Confirm whether you need Qoder CN, an organization-managed edition, or another product in the wider suite.
2. Check that your organization allows the service to receive the intended repository content. Confirm the deployment, data handling, and account arrangement before opening private code.
3. Follow the installation route for your exact edition and editor. Verify the publisher and source rather than installing an extension because its name resembles Lingma.
4. Sign in through the documented route or your organization’s administrator. Open a small approved repository, with no live credentials or customer records.
5. Ask for an explanation of one relevant function, then request a bounded change. Review the proposed difference and run the project’s existing checks before accepting it.

Do the first trial in a clean branch or other disposable working copy. That gives you a clear comparison with the starting state and a practical way to discard unrelated edits. Keep installation troubleshooting separate from your judgment of code quality: a broken local dependency can defeat any assistant.

Which product and setup instructions should you trust?

Alibaba Cloud’s suite overview↗ (opens in a new tab) explains the Lingma naming change and distinguishes the coding product from other members of the Qoder CN family. It also describes a China-based service stack. US teams should check the service and deployment with their organization before sharing private source code; the brand name alone does not answer that question.

The vendor’s setup and installation page↗ (opens in a new tab) specifically describes Enterprise Dedicated Edition. Its sign-in instructions include organization-provided details. Do not treat that page as proof that every account uses the same login address or installation package.

Both documentation pages point readers toward a newer documentation site. Use the vendor’s current links to verify your edition, supported editor, and sign-in process. If your account screen does not match the instructions, pause and ask the administrator or vendor instead of guessing with credentials.

This guide focuses on a reviewable daily workflow rather than a fixed set of menu labels. Editor support and account arrangements can change. Keep the exact setup link and your organization’s approved instructions with the project so the next developer can find the same starting point.

What should you ask it to do on the first task?

Choose a change with a clear expected result, such as correcting the empty-state message on a settings page. Avoid starting with authentication, billing, or a broad redesign. You want to learn whether the assistant understands the surrounding code and follows constraints on a task whose result you can inspect.

The product page describes code completion, chat, multi-file editing, and an agent mode that can use tools. Match the requested work to the amount of access you are ready to grant. Begin with explanation and a proposed plan before giving an unfamiliar setup permission to execute commands.

Explain how the settings empty state is rendered.
Goal: show an accurate message when the user has no saved preferences.
Keep the existing component structure and styling conventions.
Do not change authentication, dependencies, or unrelated files.
First name the relevant files and propose the smallest change.
After the change, report the checks you actually ran and any uncertainty.

Give the expected behavior in ordinary language, then point to the relevant files. An assistant can read a repository without knowing why a previous product decision matters. A short approved constraint often does more for the result than a large paste of unrelated project history.

How do you judge whether the change is useful?

Evaluate the finished work, including your review effort. Read the code difference, confirm that only the intended files changed, and check the behavior in the same environment used by the team. Ask the assistant to explain any new dependency, altered permission check, or change outside the requested scope.

• Correctness: does the change satisfy the stated example and an important failure case?
• Fit: does it reuse the project’s existing patterns rather than creating another way to solve the same problem?
• Evidence: which checks ran, what passed, and what could not be tested?
• Review cost: could a teammate understand and accept the change without reconstructing the conversation?

Keep the same task and acceptance criteria when comparing another assistant. Otherwise an easier task can make a weaker tool look better. The coding agent benchmarks guide covers broader evaluation, and the coding assistant guide covers choosing among tools.

Do not score a task as passed because the assistant says it is done. Preserve the test result and any manual observation separately. If the page looks right but keyboard behavior was not checked, the record should say so.

How do you keep private code and project decisions under control?

Use a repository approved for the trial and inspect what the assistant can read or execute. Remove secrets from examples and use test data. Confirm the applicable organizational policy before allowing terminal actions or connecting additional services; a narrow task rarely needs unrestricted access.

Keep product rules explicit. “This page must work without a mouse” is an operating constraint, while “the empty-state sentence is approved” is a specific decision. Saving those distinctions in fenbs project context gives the next supported assistant a useful starting point.

For access boundaries, use the coding agent security controls guide. For other everyday work patterns, see the AI at work hub. Neither replaces the vendor’s terms or your organization’s review of this particular service.

How to do this with fenbs

1. Create a free account and add the coding project. Keep its description focused on the goal and the repository’s working conventions.
2. Add the trial as a task with its intended behavior, allowed scope, and acceptance checks. Record the project decisions a person has already approved.
3. Manually copy an approved, non-sensitive task summary into Qoder CN. fenbs does not connect directly to Qoder CN, so keep this transfer explicit.
4. After review, update the task with what changed and what was actually tested. Save Where we left off, including the next action and any decision waiting on a person.

fenbs is free for one person, no credit card. It is not an editor extension, a code executor, or a substitute for source control. If you only need suggestions in one coding session, your editor and existing task notes may be sufficient; the shared record helps when the work continues across sessions and assistants.