v0 Prompts & Tools
Relevant source files
The following files were used as context for generating this wiki page:
The v0 Prompts & Tools ecosystem represents the foundational infrastructure for agentic AI assistants designed for advanced software engineering tasks. It combines high-level "System Prompts" that define agent identity and behavior with a robust suite of "Tools" that allow agents to interact with file systems, execute code, and manage complex workflows. The system is designed to facilitate autonomous pair-programming, enabling agents to navigate codebases, implement features, and perform verification with minimal user intervention.
Key project environments like Antigravity, Qoder, and Same.dev utilize these prompts to establish specialized operating modes such as Planning, Execution, and Verification. This architecture ensures that agents can handle non-trivial tasks by breaking them down into verifiable units while maintaining strict adherence to project-specific conventions.
Sources: Google/Antigravity/planning-mode.txt, Qoder/Quest Design.txt, Same.dev/Prompt.txt
Agentic Operating Modes
Agents operate through distinct behavioral modes to ensure a logical flow from requirement gathering to deployment.
Planning Mode
Planning is the initial phase where the agent researches the codebase, understands requirements, and designs a technical approach. In this mode, agents are instructed to create an implementation_plan.md to document proposed changes and seek user approval before proceeding to implementation.
Sources: Google/Antigravity/planning-mode.txt
Execution Mode
Once a plan is approved, the agent transitions to Execution. This involves writing code, creating new files, or modifying existing ones using provided file editing tools. Agents are expected to return to Planning if they discover unexpected complexity during this phase.
Sources: Google/Antigravity/planning-mode.txt, Qoder/Quest Action.txt
Verification Mode
The final phase focuses on testing and validating changes. Agents run automated tests, linting, and type-checking commands to ensure correctness. A walkthrough.md is often created to summarize changes and provide proof of work.
Sources: Google/Antigravity/planning-mode.txt, Cursor Prompts/Agent CLI Prompt 2025-08-07.txt
Tooling Infrastructure
The system provides a standardized JSON-based tool schema that allows agents to perform actions in the developer's environment.
File System Operations
Tools like read_file, create_file, and search_replace are the primary means of codebase interaction. These tools often enforce safety constraints, such as limiting the number of lines modified per call (e.g., a 600-line limit for new files).
Sources: Qoder/Quest Design.txt, v0 Prompts and Tools/Tools.json
Search and Discovery
Agents utilize several search strategies to understand context:
- Symbol Search: Used for finding specific identifiers like class names or methods.
- Semantic Search: Used for finding functionality based on natural language descriptions.
- Grep Search: Used for regex-based pattern matching across the workspace.
Sources: Qoder/Quest Design.txt, Cursor Prompts/Agent CLI Prompt 2025-08-07.txt
Workspace and Context Management
The following table summarizes the primary tools used for managing workspace state and task progression:
| Tool Name | Purpose | Key Parameters |
|---|---|---|
task_boundary | Defines the start or update of a major task block in the UI. | TaskName, TaskSummary, Mode |
list_dir | Explores the directory structure of the project. | path, recursive |
run_in_terminal | Executes shell commands (npm, git, tests). | command, cwd |
search_memory | Retrieves project-specific knowledge or learned lessons. | query, category |
notify_user | The primary channel for agent-to-human communication during active tasks. | message, PathsToReview |
Sources: Google/Antigravity/planning-mode.txt, Qoder/Quest Design.txt, v0 Prompts and Tools/Tools.json
Architecture and Data Flow
The agent operates as a loop, processing user requests through information gathering, planning, and execution.
The diagram above shows the standard lifecycle of an agent task, emphasizing the requirement for user approval during the planning phase.
Sources: Google/Antigravity/planning-mode.txt, Qoder/Quest Action.txt
Parallel Tool Execution
Efficiency is prioritized through parallelization. Agents are instructed to batch independent read-only operations (like reading multiple files or running multiple grep searches) into a single turn to reduce latency.
While read operations are parallelized, terminal commands and file edits are strictly serialized to avoid race conditions and maintain system stability.
Sources: Qoder/Quest Design.txt, Same.dev/Prompt.txt
Technical Constraints and Guidelines
To ensure code quality and system safety, the v0 ecosystem defines several strict operational rules:
- Absolute Paths: All tool calls requiring file paths must use absolute paths to ensure clarity across different operating systems (Windows/Darwin).
- Uniqueness in Edits: When using
search_replace, theoriginal_textmust be uniquely identifiable within the file to prevent accidental global corruption. - Validation Loop: Agents must call validation tools (e.g.,
get_problemsor build commands) after every code change. Implementation is not considered complete until the environment returns a "green" status. - Security Boundaries: Agents are prohibited from accessing files outside the active workspace or exfiltrating sensitive data unless explicitly configured for specialized tasks (e.g., fetching web documentation).
Sources: Google/Antigravity/planning-mode.txt, Qoder/Quest Design.txt, Cursor Prompts/Agent CLI Prompt 2025-08-07.txt
Summary
v0 Prompts & Tools provides a high-fidelity framework for AI-driven software development. By enforcing structured task management through planning artifacts and providing a comprehensive toolset for codebase manipulation, the system allows agents to function as reliable autonomous collaborators. The strict adherence to verification gates and parallelized discovery ensures that the resulting code is both technically sound and efficiently produced.
Sources: Google/Antigravity/planning-mode.txt, Same.dev/Prompt.txt