Search

More Filters

Show More
Add Listing
Go Back

prompt-tower

0
New
Coding & Development
Report

Report Abuse

Basic Information

Prompt Tower is a developer tool and VS Code extension that packages a codebase into AI-ready context so developers can paste comprehensive, structured prompts into any AI assistant. It lets users visually select files and folders, include directory structure and GitHub issues, and generate cleaned file contents prepared for large-context models. The extension shows live token counts, supports a .towerignore file for excluding irrelevant files, and provides configurable output templates. It is designed to work with high-context LLMs and agents including Gemini's 1M context, Cursor's agent, and Claude Code, and is available from the VS Code Marketplace. The README includes quick start steps, configuration options, and development instructions for contributors under the AGPL-3.0 license.

Links

Stars
275
Language
App URL
https://github.com/backnotprop/prompt-tower
Github Repository
https://github.com/backnotprop/prompt-tower/blob/main/README.md

Categorization

App Details

Features
Visual file selection with checkbox UI and live token counting so users can pick precisely what to include. Smart context packaging that preserves directory structure and emits structured file blocks for pasteable prompts. .towerignore support to exclude tests, generated files, or other noise. GitHub issues and comments integration so AI sees both code and tracked problems. Token intelligence to warn about model limits and optimize selections. Configurable output templates including XML or Markdown, global ignore patterns, and token warning settings. Cross-environment usability described for VS Code, Cursor, Windsurf, and Google IDX. Demo animation and Marketplace listing illustrate behavior. Development scripts and a DEVELOPMENT.md are provided for contributors.
Use Cases
Prompt Tower reduces manual work and lost context by letting teams turn an entire repository or selected parts into a single, AI-ready payload in seconds. Developers can assemble precise context for feature development, debugging, and massive refactors so assistants understand architecture and dependencies rather than returning generic advice. Live token counts and ignore rules prevent surprises when targeting different model windows. Integrating issues and comments helps AI diagnose real problems. Use cases in the README include building features with Cursor agents, debugging with Claude Code by including logs and related files, and leveraging Gemini"s large context for large-scale refactors. The extension aims to speed up workflows and improve the relevance of AI-generated code suggestions.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1230)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (766)
Productivity Tools (679)
Writing & Editing (666)

Similar Listings

listing image

agentmark

0 (0 review)
listing image

biscuit

0 (0 review)
listing image

localforge

0 (0 review)
listing image

npi

0 (0 review)
listing image

npi

0 (0 review)

Featured Listings

Tags

Please fill the required fields*