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OpenCode AI Coding Agents

OpenCode AI Coding Agents

The Future of Coding Lives in Your Terminal

Imagine having an AI pair programmer that doesn’t just suggest code completions but actually understands your entire project, plans features, and builds them conversationally—all from the comfort of your terminal. That’s exactly what OpenCode delivers. This isn’t another IDE plugin or web-based coding assistant; it’s a powerful Terminal User Interface (TUI) that brings the full capabilities of Claude and GPT models directly into your existing workflow.

OpenCode represents a paradigm shift in how we interact with AI coding assistants. Instead of context-switching between your editor and a chat interface, you get a dedicated terminal tool that deeply integrates with your codebase, understands your project structure, and works alongside you like a seasoned developer.

What Makes OpenCode Different

Unlike traditional coding assistants that work on isolated snippets, OpenCode operates at the project level. When you initialize it with the /init command, it doesn’t just scan your files—it builds a comprehensive understanding of your architecture, dependencies, and coding patterns.

The tool leverages both Anthropic’s Claude and OpenAI’s GPT models through their respective APIs, giving you flexibility in choosing the AI backend that best suits your needs. Whether you prefer Claude’s nuanced understanding of complex codebases or GPT’s rapid iteration capabilities, OpenCode has you covered.

Key Features at a Glance

  • Interactive TUI: A beautiful, responsive terminal interface that feels native to your development environment
  • Project-Aware Intelligence: Deep understanding of your entire codebase, not just individual files
  • Dual-Mode Operation: Switch between Plan and Build modes depending on your workflow
  • Conversational Coding: Natural language interactions that feel like pair programming
  • Multi-Model Support: Works with both Anthropic and OpenAI APIs

Getting Started with /init

The magic begins with a simple command: /init. This initialization process is where OpenCode distinguishes itself from simpler tools. Rather than treating your project as a collection of disconnected files, it performs an intelligent analysis:

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# Start OpenCode in your project directory
opencode

# Initialize the project context
/init

During initialization, OpenCode:

  • Maps your project structure and identifies key components
  • Analyzes dependencies and build configurations
  • Understands your coding style and patterns
  • Creates an indexed representation for fast context retrieval

This upfront investment pays dividends throughout your session, enabling the AI to provide contextually relevant suggestions that actually fit your project’s architecture.

A glowing neural network visualization with interconnected nodes representing code analysis, rendered in vibrant cyan and magenta against a dark background

Plan Mode: Think Before You Build

One of OpenCode’s most powerful features is its dual-mode approach. Plan Mode is where you collaborate with the AI to design solutions before writing a single line of code. This is invaluable for:

  • Architecting new features
  • Refactoring complex systems
  • Exploring different implementation approaches
  • Understanding the ripple effects of proposed changes

In Plan Mode, you can have conversations like:

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You: I need to add user authentication to this Express app
OpenCode: I see you're using Express 4.x with MongoDB. I'd recommend...
         1. Implementing JWT-based authentication
         2. Adding middleware for protected routes
         3. Creating user model with bcrypt password hashing
         
Would you like me to outline the file changes needed?

The AI considers your existing stack, identifies potential conflicts, and proposes solutions that integrate seamlessly with your current architecture.

Note: Plan Mode doesn’t modify any files—it’s purely for exploration and design. This gives you the freedom to experiment without risk.

Build Mode: From Conversation to Code

Once you’ve settled on an approach, Build Mode is where the rubber meets the road. Here, OpenCode transitions from advisor to implementer, actually generating and modifying code based on your conversations.

What makes Build Mode special is its awareness of the broader context. When you ask it to implement a feature, it:

  • Updates multiple files as needed
  • Maintains consistency across your codebase
  • Follows your established patterns and conventions
  • Handles imports, dependencies, and configurations

The conversational nature means you can iterate naturally:

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You: Add the authentication middleware we discussed

OpenCode: [Implements the middleware in auth.js]

You: Can you also update the user routes to use it?

OpenCode: [Modifies routes/users.js with protected routes]

You: The login endpoint should return user details too

OpenCode: [Updates the response structure]

Each interaction builds on the previous context, creating a fluid development experience that feels remarkably human.

Real-World Workflow Integration

OpenCode shines in real-world scenarios where you’re juggling multiple concerns simultaneously. Consider debugging a production issue:

  1. Investigate: Ask OpenCode to analyze error logs and identify potential causes
  2. Plan: Discuss possible fixes and their implications
  3. Build: Implement the solution with proper error handling
  4. Verify: Have OpenCode suggest test cases to prevent regression

The tool adapts to your workflow rather than forcing you to adapt to it. Whether you’re prototyping rapidly or carefully crafting production code, the conversational interface scales to your needs.

API Configuration

Getting started requires API keys from either Anthropic or OpenAI (or both). Configuration is straightforward:

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# Set your API key as an environment variable
export ANTHROPIC_API_KEY="your-key-here"
# or
export OPENAI_API_KEY="your-key-here"

# OpenCode will automatically detect and use available APIs

The tool intelligently manages API usage, caching context to minimize token consumption while maintaining responsiveness.

Best Practices and Tips

To get the most out of OpenCode, consider these strategies:

Start Broad, Then Narrow: Begin conversations with high-level goals, then drill into specifics. The AI’s project awareness means it can handle both strategic and tactical discussions.

Use Plan Mode Liberally: Even for seemingly simple changes, spending a moment in Plan Mode can reveal edge cases and integration points you might have missed.

Iterate Conversationally: Don’t try to specify everything upfront. Let the conversation flow naturally, refining as you go.

Leverage Context: Reference existing files and patterns. “Make this consistent with how we handle errors in user-service.js” works beautifully.

Warning: While OpenCode is powerful, always review generated code before committing. AI is a tool to augment your expertise, not replace it.

The Terminal-First Advantage

Why build a TUI instead of a GUI or IDE plugin? The terminal-first approach offers several compelling advantages:

  • Universal Compatibility: Works with any editor or IDE
  • Low Overhead: Minimal resource usage compared to electron apps
  • SSH-Friendly: Use it on remote servers just as easily as locally
  • Scriptable: Integrate into your existing shell workflows
  • Distraction-Free: No browser tabs or heavy UI elements

For developers who live in the terminal, OpenCode feels like a natural extension of their environment rather than a foreign tool.

Looking Ahead

OpenCode represents a new category of development tools—one that combines the power of large language models with deep project understanding and conversational interaction. As AI models continue to improve, tools like OpenCode will become increasingly central to how we build software.

The project is actively developed and available at opencode.ai, with regular updates adding new capabilities and model support. The community is growing, with developers sharing workflows and integration patterns.

If you like to see some examples using opencode with github and having opencode review issues and PR’s checkout my repo at github-bigsk1-opencode-doc


Wrapping Up

OpenCode isn’t trying to replace developers—it’s amplifying what we can accomplish. By bringing AI assistance directly into the terminal with full project context, it creates a development experience that feels collaborative rather than automated. The combination of Plan and Build modes, conversational interaction, and multi-model support makes it a versatile tool for everything from rapid prototyping to careful refactoring.

If you’re comfortable in the terminal and curious about AI-assisted development, OpenCode is worth exploring. Initialize it in your next project with /init and experience what conversational coding feels like when the AI truly understands your codebase. 🚀

This post is licensed under CC BY 4.0 by the author.