Code and Change Review Assistance for Customer Training and Usage Manuals: Multi-turn Dialogue and Prompt Engineering

This category’s data originates from the product help center of code review tools, the organizational structure of customer development teams

What this category's data looks like

This category’s data originates from the product help center of code review tools, the organizational structure of customer development teams, recorded code review training videos, and ticket systems. Updates occur once per customer order or per code review tool version update.

Daily documents include code review training slides, code review tool user manuals, training attendance sheets, and lists of code review question answers. Training slides mark applicable roles and version ranges. User manuals include numbered code review operation steps. Attendance sheets record information of participating developers. Answer lists organize frequent customer questions related to code review.

Data fields are adjusted synchronously with updates, with no fixed unified statistical caliber.

The multi-source update nature of category data requires regular filtering of older version code review tool document content from multi-turn dialogue contexts. This avoids passing outdated review rules to developers.

The diversity of document types requires prompts to distinguish usage scenarios for different documents. For example, when calling user manuals, focus on code review operation steps. When calling training slides, focus on permission allocation for review roles.

The existence of high-frequency time-consuming links requires preset prompt templates to cover two core scenarios: role permission explanations and operation step demonstrations. This reduces the probability of developers asking repeatedly.

The customer-specific nature of data requires strict isolation of dialogue contexts. This ensures code review training content from different customers is not mixed.

How to set configurations

Configuration ItemRecommended SettingRationale
chatId association ruleBind to current customer order IDEnsure isolation of code review training dialogue contexts for each customer, complying with data privacy requirements
messages context windowFirst 10 turns of dialogueMatch the typical turn length of code review training-style dialogues, avoiding overly long contexts interfering with core Q&A
variables variable injectionInject current code review tool version number, customer team role tagsAdapt to the update frequency and role field characteristics of category data, ensuring accurate reply content
Quick send button configurationPreset 3-5 high-frequency questions, such as "How to view review permissions" "Code submission review steps"Cover the two most time-consuming category scenarios: role permission explanations and operation step demonstrations
Historical dialogue storage limitCalibrated based on actual testingAdapt to the single-customer training cycle length of category data

Three common configuration mistakes

  • Issue: Cross-customer code review-related dialogue reference content is displayed in the interface. Cause: chatId is not bound to the customer order ID, leading to mixing of dialogue contexts for different customers' code review training sessions
  • Issue: Preset code review-related questions are not triggered after clicking the quick send button. Cause: No associated instructions for quick buttons are injected via variables, so the prompt cannot match the preset code review reply logic
  • Issue: Code review training document files cannot be uploaded when calling the dialogue API. Cause: Document-associated API upload configuration is not enabled in FastGPT v4.17.0, resulting in the interface not supporting file input

How to confirm the configuration is complete

  • Initiate a test dialogue, generate a chatId using different customer identifiers, check that no cross-customer content leakage occurs in code review-related dialogue contexts
  • Click the preset quick send buttons, confirm that the system quickly returns corresponding replies matching code review training documents
  • Refresh the page in a non-login scenario, check that the code review dialogue history stored in messages is retained normally
  • Call the dialogue API to upload a code review training slide file, confirm that the interface can normally receive and process the file content

The values provided here are common starting points, and should be evaluated against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.