Master OpenCode in 28 minutes

Master OpenCode in 28 minutes

How to Code Faster with Open Code

Introduction to Open Code

  • Most AI coding tools operate sequentially, handling one task at a time. The speaker introduces the concept of using Open Code to run multiple AI tasks in parallel, addressing the bottleneck of attention.
  • Keith, the presenter, shares his background as an entrepreneur and how he assists solopreneurs in shipping faster by leveraging AI systems.

Challenges with Traditional Coding Tools

  • Despite trying various coding tools (Cursor, OpenAI, etc.), none resolved the issue of multitasking effectively. The speaker faced difficulties managing multiple terminals for different AI models.
  • Multitasking became cumbersome; it was hard to track which tasks had failed or completed and monitor credit usage across different platforms.

Transitioning to Open Code

  • Switching to Open Code transformed the workflow by allowing simultaneous task execution while providing alerts on task completion and usage tracking.
  • Open Code functions as a task orchestration tool that enables running multiple sessions with different models concurrently.

Key Features of Open Code

  • The ability to run several tasks simultaneously is highlighted as a significant improvement over previous workflows where only one task could be handled at a time.
  • The tutorial will cover installation methods for both desktop and terminal versions of Open Code, connecting various AI providers, and advanced features like integrating with other tools.

Installation Process Overview

  • Users can download the desktop app from opencode.ai or install extensions for existing IDEs like Cursor or Windsurf for enhanced visibility and functionality.
  • For terminal installation, users are advised to use commands like curl, which automatically identifies the operating system for optimal installation options.

Running Open Code on Different Platforms

  • Users have flexibility in choosing between GUI-based installations via extensions or command-line interface installations based on personal preference.
  • A web version of Open Code allows access from different devices while keeping project source code on another machine.

Troubleshooting Tips

  • If issues arise during CLI installation, users can utilize warp.dev as an AI agent designed specifically for terminal operations.

Open Code: Getting Started and Key Features

Installation and Initial Setup

  • To begin using Open Code, copy your command into warp.dev. If you encounter issues, the AI agent can assist in resolving them to ensure proper installation.
  • After installation, simply type "open code" to access the terminal where Open Code operates.

Customizing Your Environment

  • Users can customize their settings by navigating to appearance options, allowing for dark mode selection and font/theme customization (e.g., Dracula, Tokyo Night).
  • Additional settings include enabling agents, permissions, error notifications, and sound effects upon task completion.

Planning vs. Building Features

  • Open Code offers three modes: build and plan. It is recommended to use plan mode first when considering new features to logically outline before building.
  • The platform provides various free models; however, paid models are suggested for more complex tasks due to better performance.

Model Selection Strategy

  • For planning tasks, Gemini is preferred over Claude due to recent restrictions on third-party support from Claude.
  • When ready to build after planning, users can choose between 5.2 or 5.2 codeex based on task complexity—codeex for advanced features and 5.2 for simpler tasks.

Token Management Techniques

  • Users should monitor token usage closely; different plans offer varying limits on token consumption.
  • A strategy for saving tokens includes splitting multiple feature requests into separate sessions rather than one continuous chat.

Connecting AI Models in Open Code

Connecting Providers

  • To connect different AI models within Open Code, users must select their provider (e.g., Google), enter their API key through a simple interface process.

Utilizing Alternative Models

  • The application allows connections with numerous providers including Anthropic and Google; it’s noted that some lesser-known models may outperform popular ones at lower costs.

Efficient API Key Retrieval

  • Using tools like Perplexity comment can streamline the process of finding API keys without extensive manual searching.

Security Reminder

  • A crucial reminder is given not to share API keys or passwords with AI systems directly; instead, create an API key manually for security purposes.

How to Connect AI Providers to Open Code

Setting Up the API Key

  • The process begins with setting up an API key, which should not be copied directly. Instead, it is recommended to manually copy and paste it into Open Code for security reasons.
  • This setup aims to save time by reducing unnecessary navigation through the interface. Once completed, users can connect their AI providers seamlessly.

Opening a Project in Open Code

  • Users are guided on how to open a project or create a new folder if starting from scratch. This step is crucial for organizing work within the application.
  • An example project discussed is a health data analyzer app that syncs user health data for analysis, highlighting practical applications of Open Code.

Bug Fixing and Feature Planning

  • A bug related to graph display is addressed by attaching a screenshot and requesting specific fixes through the platform's image attachment function. This demonstrates effective communication with AI models for troubleshooting.
  • The speaker also explores adding gamification features like streak tracking to enhance user engagement in the health analyzer app, showcasing innovative product development ideas using AI assistance.

Managing Multiple Sessions in Open Code

Running Concurrent Tasks

  • Users can run multiple sessions simultaneously within Open Code, allowing them to manage different aspects of their projects without waiting for one task to complete before starting another. This feature enhances productivity significantly.
  • Progress indicators show elapsed time and code changes (additions/deletions), providing real-time feedback on ongoing tasks and ensuring transparency in modifications made by the AI models used.

Notifications and Task Completion

  • Notification settings allow users to receive alerts about task completions; however, these can be turned off if they become too frequent or distracting during workflow management.
  • Upon completion of tasks, users verify whether issues have been resolved effectively—such as fixing UI problems—and assess suggestions provided by AI for further improvements like gamification elements such as badges and milestones.

Advanced Features of Open Code

Utilizing Commands Effectively

  • The introduction of slash commands allows users access to various functionalities within Open Code efficiently; one notable command is 'init,' which creates an agents.mmd file essential for optimizing future operations by reading folder structures and files accurately.
  • Regularly running commands like 'review' helps identify potential bugs or vulnerabilities in code while maintaining coding standards—this practice ensures high-quality code management over time as features are added or modified frequently.

Importance of Initialization

  • Initializing projects with agents.mmd reduces token usage when running projects later on, making it a valuable step for efficient resource management during development cycles.

How to Integrate Context 7 MCP in Open Code

Setting Up Context 7 MCP

  • The speaker discusses the integration of Context 7, an MCP designed to save tokens by reading API documentation and libraries more efficiently.
  • To utilize Context 7, the user must sign up for an API key and add it to their configuration file.
  • The speaker demonstrates how to locate the global open code.json configuration file quickly using warp.dev, avoiding manual navigation through directories.

Configuring API Key

  • After locating the configuration file, the speaker adds the generated API key from Context 7 into Sublime Text editor.
  • The process includes labeling and saving changes before restarting Open Code to ensure successful integration of Context 7.

Automating Usage of Context 7

  • The documentation suggests adding a rule in agents.md to always use Context 7 for library documentation requests.
  • This automation allows users to save tokens as it will call Context 7 without needing manual input each time.

Exploring Terminal App Functionality

Navigating with Command Line Interface

  • Transitioning from desktop app usage, the speaker explains how to open a directory in terminal using commands like CD.
  • Users can access Open Code by simply typing open code, which provides similar functionalities as the desktop version but with enhanced capabilities.

Enhanced Features in Terminal

  • Keyboard shortcuts such as Ctrl T (to control variants), Ctrl P (to switch models), and tabbing for agent selection are highlighted as powerful tools within terminal operations.
  • The terminal interface offers more options than the desktop app, allowing users greater flexibility and functionality when coding.

Managing Multiple Sessions and Skills

Running Multiple Sessions

  • Users can run multiple sessions simultaneously by utilizing split panes within the terminal application, enhancing productivity across projects.
  • Opening new tabs allows for managing different projects concurrently while maintaining multiple active sessions within each project.

Creating Reusable Skills

  • Skills are defined as reusable sets of instructions that streamline repetitive tasks; an example is creating a skill for Xcode refactor patterns.
  • A mistake is noted regarding naming conventions in files; ensuring correct naming is crucial for skills recognition within Open Code.

Utilizing Commands Effectively

Adding Custom Commands

  • Commands are introduced as options accessible via a slash button; users can create custom commands like "get commit and push" for efficiency.
  • Successful addition of commands enhances workflow by automating frequent actions, demonstrating how customization improves user experience.

How to Run Open Code on Your iPhone

Setting Up the Environment

  • The speaker introduces an advanced feature that allows running open code on a mobile phone using Termius.
  • To run open code on an iPhone, a Mac must be set up as a server with open code running. The connection is established via SSH.
  • For remote access while away from home or office, additional setup for a split tunnel is required, which will be covered in a future video.

Configuring SSH Connection

  • Users need to enable remote login on their Mac by navigating to System Settings > Sharing and adding a user account for SSH access.
  • After downloading the Termius app on the iPhone, users can discover local devices and connect to their Mac by entering the username and password used for logging into the Mac.

Running Open Code

  • Once connected through Termius, users can type "open code" in the terminal to launch it successfully. This method only works when both devices are on the same Wi-Fi network.
Video description

Most AI coding tools limit you to one task, one terminal, one conversation at a time. After using Cursor, Claude Code, and every other tool out there, I found the real bottleneck: your attention. In this complete tutorial, I'll show you how I use Open Code to run multiple AI coding tasks in parallel, track usage across providers, and stop babysitting terminals—so you can ship faster without a team. 🎯 What You'll Learn: How to install Open Code (Desktop, Terminal & Web versions) Connecting multiple AI providers (OpenAI, Google, Anthropic, Perplexity & more) Running parallel coding sessions with different models simultaneously Strategic model selection to save tokens and money Advanced features: MCP servers, custom skills, and commands Live demo: Real workflow on a revenue-generating health app Bonus: Running Open Code on your iPhone 00:00 Introduction to AI Coding Tools 00:07 The Bottleneck of Attention 00:13 Introducing Open Code 00:31 Keith's Background and Experience 00:54 Challenges with Traditional Workflows 01:24 How Open Code Changed the Game 01:41 What is Open Code? 03:19 Step-by-Step Installation Guide 03:42 Installing Opencode as extensions 04:31 Installing Opencode in terminal 06:25 Using Open Code: Features and Tips 10:15 Connecting AI Providers 13:02 Live Demo: Open Code in Action 16:57 Advanced Features and Commands 18:50 Adding MCP's 24:10 Adding Skills 25:14 Adding commands 25:57 Using Open Code on Mobile 28:03 Conclusion and Community Invitation 🔧 My Model Strategy: Planning: Gemini 3 Pro Preview (high thinking effort) Execution: GPT 5.2 or 5.2 Codex depending on complexity Bug fixes: Lower models to save tokens Note: Avoiding Claude API due to third-party usage restrictions 💡 Key Features Covered: ✓ Multiple parallel AI coding sessions ✓ Real-time usage tracking across providers ✓ Task completion notifications ✓ Screenshot-based debugging ✓ Project initialization with agents.md ✓ Code review and refactoring commands ✓ Context7 MCP for token savings ✓ Custom skills and commands ⚠️ Important Notes: Claude announced they don't support third-party usage—I don't recommend using Claude with Open Code to avoid account bans Free models (GLM 4.7, MiniMax) can compete with paid options Strategic token management is crucial on $20/month plans 📱 Resources & Links: Open Code: https://opencode.ai Warp Terminal: https://app.warp.dev/referral/539GR4 Context7 MCP: https://context7.com Terminus App: https://termius.com/ 🎓 Want to Learn AI Coding? Join my free AI community where 2,500+ solopreneurs and builders are learning to ship faster with AI. Inside you'll find: My Vibe Coding course ($39-$300) n8n automation templates Live community support Real revenue breakdowns 👉 Join free: https://nas.io/rumjahn 📊 My Background: I'm Keith—former CEO who raised $20M and took a company public. Now I help solopreneurs build profitable businesses using AI tools. I've spent 1,000+ hours testing every AI coding tool and generate $894-$1,223/month across multiple income streams. 🔔 If this tutorial helped you code faster with AI, please like and subscribe! Drop a comment if you want to see the CloudFlare split tunnel tutorial for remote Open Code access. #OpenCode #AICoding #Solopreneur #AITools #CodingTutorial #ProductivityHacks