Guides & How-tos

Manus AI runs tasks inside secure cloud sandboxes with isolated, temporary filesystems that automatically recycle after inactivity. Without a persistence plan, sandbox resets cause permanent data loss. This guide details Manus storage limits, compares sandbox environments with persistent cloud drive integrations, and outlines best practices for connecting Manus to Fastio workspaces to secure task artifacts for collaboration.

A Manus file handoff workflow is the automated pipeline that retrieves files from a completed agent task sandbox and distributes them to human team members or clients. By integrating the Manus API and webhook system with Fast.io workspaces, developers can automate the secure transfer of reports, code, and other deliverables. This guide covers how to set up the connection, listen for task events, and manage collaborative notes.

While 84% of developers use AI coding tools, only 29% trust their accuracy, creating a critical trust gap. This guide explains how to install and configure the Cline agent in VS Code, manage API keys, and secure terminal permissions. We also show how to connect Cline to a persistent Fastio workspace to store, version, and share agent-generated files across your team.

Summarizing files with Manus AI involves feeding document datasets into the agent's context and using its action loop to extract key metrics and summaries. This guide explains how to prevent context window overflow when processing large file archives by using a Fastio workspace to chunk documents, manage version history, and synthesize intermediate summaries.

Connecting your files to a persistent workspace allows you to run Retrieval-Augmented Generation (RAG) queries directly. This setup guide explains how to ask questions with manus ai rag using the Model Context Protocol (MCP) and Fastio. Learn how to configure a custom MCP server, index documents automatically, and retrieve cited answers from your files.

Connecting Manus AI to MCP storage enables the autonomous agent to securely read, write, and persist files within a designated team workspace over standard Model Context Protocol. Learn how to connect Manus to MCP storage to bridge the gap between temporary execution environments and durable cloud filesystems.

Cline and Windsurf offer two distinct approaches to agentic code generation. Cline operates as a bring-your-own-key VS Code extension, while Windsurf is a standalone proprietary IDE. This comparative guide details their architectural differences, rules migration paths, and integration with persistent team workspaces.

According to the Stack Overflow 2025 Developer Survey, 81 percent of developers have concerns about data privacy and security when using AI agents. This comparison details the core differences between Cline vs GitHub Copilot, focusing on autocomplete suggestions versus agentic workflows, model choice, permission models, and security boundaries.

Choosing between Cline and Devin requires balancing open-source local execution against autonomous, cloud-managed software engineering. Cline operates directly inside the local VS Code editor using a developer's own API keys or local models, ensuring full data privacy. Devin runs in dedicated cloud sandboxes as a proprietary subscription service, managing complex operations autonomously but sending codebase context off-site.

According to the JetBrains AI Pulse Survey, 18% of developers report using Cursor at work, while GitHub Copilot maintains a 29% adoption rate. This 11-point gap highlights a major transition in the software industry: while plugin-based AI assistants still dominate raw volume, AI-native IDEs and custom autonomous agents like Cline are rapidly capturing the professional developer market.

Our hands-on Cline review explores how this open-source coding agent manages API costs, token efficiency, and prompt caching. We compare Claude 3.5 Sonnet and DeepSeek Coder V2 and explain how to persist agent workspaces.

The Cline coding agent has recorded over 4.5 million installs on the Visual Studio Code Marketplace, showing a shift toward editor-integrated development. This guide examines Cline's ReAct loop, its modular system prompt structure, context compilation logic, and diff editing. It also details how to integrate Cline with Fastio workspaces for shared team workflows, persistent storage, and handoff protocols.

Devin AI, developed by Cognition, is an autonomous AI software engineer that operates inside a secure remote sandbox. By planning, executing, and debugging complex software development tasks end-to-end, Devin marks a departure from basic coding assistants. This overview covers Devin's architecture, playbook integration, and support for the Model Context Protocol.

An MCP server for Clay automation connects AI models securely to Clay's data enrichment capabilities. By exposing your enrichment waterfalls as tools, you can run complex account research and outreach directly from your AI agent's chat interface.

Manus AI excels at autonomous desktop automation and sandbox code execution, but its 10 GB account storage quota and 48-hour API retention limit require a stable external data layer. This architecture guide evaluates local drive and cloud sandbox storage alternatives, demonstrating how developers deploy Fastio workspace storage to bridge raw scraping pipelines, Manus tasks, and training backends.