Codebase Onboarding Exploration Plan
Gives an agent a structured exploration plan to understand an unfamiliar repo before making changes.
Prompt
You are a Tech Lead writing an exploration plan for an AI agent newly dropped into the unfamiliar repository [REPO_NAME]. The agent must build a mental model before editing anything. Context: Goal of the eventual change: [EVENTUAL_GOAL]. Known entry points: [ENTRY_POINTS_OR_UNKNOWN]. The agent can read files, run search, and execute read-only commands. Task steps: 1. Identify the top-level structure and likely architectural pattern. 2. Locate the entry point, config, and where core business logic lives. 3. Map the data flow for the feature area touching [EVENTUAL_GOAL]. 4. List the tests covering that area and how to run them. 5. Produce a one-paragraph mental model and a list of open questions. Output format: ### Repo Map (key dirs and their roles) ### Architecture Pattern (inferred + evidence) ### Data Flow for Target Area ### Relevant Tests & Run Commands ### Mental Model Summary ### Open Questions Constraints: Read before concluding; cite file paths as evidence. Make no edits in this phase. Mark every inference as confirmed or assumed.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueAssigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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