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Cursor · AI Coding Tutorial

Give Cursor Agent the right context without flooding it

Select the smallest useful files, symbols, docs and terminal evidence so Agent can reason about a task without being distracted by the whole repository.

Reviewed September 19, 2026Independent tutorialFeatures may vary
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Before you start

More context is not automatically better. The goal is to give enough evidence to understand the change while keeping irrelevant code and stale documentation out.

1. Start with the failing surface

Point to the error, file, component, symbol, screenshot or terminal output that shows the problem.

2. Add only direct dependencies

Include interfaces, types, tests or callers that constrain the behavior. Avoid attaching broad folders before you know they matter.

3. Use repository search deliberately

Ask Agent to locate definitions and references, then bring the few relevant files into active context rather than guessing based on filenames.

4. Tell it what is authoritative

Name the source of truth when docs, types and implementation disagree. Old design notes should not silently override current code.

5. Trim and restate when the task drifts

If the conversation becomes long or Agent starts using irrelevant context, restate the goal and reopen only the files needed for the next decision.

Try this prompt

Do not scan the entire repository yet. Start from this error and identify the minimum files needed to explain it. Tell me why each file matters, then inspect only those files before proposing a fix.

Common mistakes

Attaching the entire monorepo; mixing stale docs with live code; assuming the nearest filename is the dependency; letting a long chat accumulate unrelated decisions.

Finish check

Agent can explain the behavior and propose a bounded change using a small, auditable set of source files and evidence.

开始之前

上下文并不是越多越好。目标是提供足够证据让 Agent 理解修改,同时把无关代码和过期资料挡在外面。

1. 从真正出现问题的地方开始

先给错误信息、文件、组件、符号、截图或终端输出,让问题有一个明确起点。

2. 只补直接依赖

再加入真正约束行为的接口、类型、测试或调用方。还不知道是否有关时,不要一上来就附加大目录。

3. 有目的地使用仓库搜索

让 Agent 搜索定义和引用,再把少量相关文件带入活跃上下文,不要只凭文件名猜。

4. 明确哪个来源才是准则

当文档、类型和实现不一致时,告诉它哪个才是 source of truth。旧设计文档不能默默盖过当前代码。

5. 任务漂移时主动瘦身

对话变长、Agent 开始引用无关上下文时,重新说明目标,只打开下一步决策真正需要的文件。

可以直接套用的提示词

先不要扫描整个仓库。从这个错误开始,找出解释问题所需的最少文件,并说明每个文件为什么相关;只检查这些文件后再提出修复方案。

常见错误

把整个 monorepo 都塞进上下文;把过时文档和当前代码混在一起;只凭最近的文件名猜依赖;长对话不断累积与当前任务无关的决定。

完成检查

完成后,Agent 应该能基于一组很小且可审计的源文件和证据解释行为,并提出有边界的修改。

開始之前

上下文並不是越多越好。目標是提供足夠證據讓 Agent 理解修改,同時把無關代碼和過期資料擋在外面。

1. 從真正出現問題的地方開始

先給錯誤資訊、檔案、組件、符號、截圖或終端輸出,讓問題有一個明確起點。

2. 只補直接依賴

再加入真正約束行為的接口、類型、測試或調用方。還不知道是否有關時,不要一上來就附加大目錄。

3. 有目的地使用倉庫搜尋

讓 Agent 搜尋定義和引用,再把少量相關檔案帶入活躍上下文,不要只憑檔案名猜。

4. 明確哪個來源才是准則

當文檔、類型和實現不一致時,告訴它哪個才是 source of truth。舊設計文檔不能默默蓋過當前代碼。

5. 任務漂移時主動瘦身

對話變長、Agent 開始引用無關上下文時,重新說明目標,只打開下一步決策真正需要的檔案。

可以直接套用的提示詞

先不要掃描整個倉庫。從這個錯誤開始,找出解釋問題所需的最少檔案,並說明每個檔案為甚麼相關;只檢查這些檔案後再提出修復方案。

常見錯誤

把整個 monorepo 都塞進上下文;把過時文檔和當前代碼混在一起;只憑最近的檔案名猜依賴;長對話不斷累積與當前任務無關的決定。

完成檢查

完成後,Agent 應該能基於一組很小且可審計的來源檔案和證據解釋行為,並提出有邊界的修改。

Official references

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