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web-code-agent

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Basic Information

Folda-Scan is a local, browser-based AI Q&A tool for exploring and querying software projects. It scans a developer's selected local project using the File System Access API, builds a semantic vector index in the browser, and enables natural language questions against the indexed code. The tool provides deep semantic matching to locate relevant files and snippets and can generate context-aware Markdown to feed external LLMs. It also helps create project configuration files such as Dockerfile and aims to reduce token costs and latency when invoking remote models. The README lists Next.js 14 as the core framework and JavaScript/TypeScript as the primary language. Installation requires Node.js and a modern browser that supports the File System Access API. All processing and indexing happen locally so source code never leaves the user's machine.

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App URL
https://github.com/oldjs/web-code-agent
Github Repository
https://github.com/oldjs/web-code-agent/blob/main/README.md

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App Details

Features
Runs entirely in the browser with local execution and strong privacy guarantees; code never leaves the user"s device. Natural language chat interface to ask questions about a codebase. Semantic vectorization engine that converts code and queries into embeddings for deep, intent-aware matching. Fast pinpointing of relevant files and code snippets even from vague queries. LLM collaboration accelerator that generates compact, context-aware Markdown to improve external model prompts. Reduces token usage and latency for remote LLM calls. Smart project config generation assistance such as Dockerfile templates. Built with Next.js 14 and leveraging the File System Access API. Quick onboarding and straightforward folder-selection workflow.
Use Cases
Folda-Scan helps developers and teams understand unfamiliar codebases quickly by turning a project into a searchable conversational knowledge base. It eliminates tedious manual context preparation for AI assistants by extracting and summarizing the most relevant code and generating concise context payloads, which lowers API costs and speeds up interactions with external LLMs. Local indexing preserves confidentiality and supports compliance by keeping source code on the developer"s machine. The tool accelerates onboarding, debugging, code review, and documentation tasks by surfacing pertinent snippets and file locations. It also helps produce common project configuration files, enabling faster setup and iteration without uploading repositories to third-party services.

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