AI Coding
Last updated on
February 18, 2026
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OpenCode is an open-source AI coding agent that brings intelligent development assistance directly to your terminal, IDE, or desktop. It supports over 75 LLM providers, including Claude, GPT, Gemini, and local models via Ollama, giving organizations full flexibility over their AI toolchain. Teams can use OpenCode to autonomously write, debug, and refactor code across entire repositories with agentic capabilities like file editing, command execution, and code search. For example, a development team can onboard a new engineer faster by letting OpenCode explain an unfamiliar codebase and suggest implementation plans before any code is written.
What is OpenCode used for?
1. Writing, debugging, and refactoring code directly from the terminal
2. Exploring and understanding unfamiliar codebases with AI-powered analysis
3. Automating multi-step development tasks like file editing, testing, and command execution
4. Running AI coding agents in CI/CD pipelines via GitHub Actions integration
Is OpenCode open source?
Yes, OpenCode is fully open source under the MIT license. The source code is available on GitHub with over 100,000 stars and active community contributions.
Is OpenCode free to use?
OpenCode itself is free and open source. You can use it with your own API keys from any supported LLM provider, or use OpenCode Zen for optimized model access. Costs depend on the underlying model provider you choose.
How does Shakudo enhance OpenCode capabilities?
Shakudo provides centralized model management, unified authentication, and governance controls for OpenCode deployments across teams. This eliminates per-developer API key management and ensures consistent, auditable AI usage across the organization.
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OpenCode on its own provides powerful AI-assisted coding, but deploying it across an engineering organization requires managing API keys for multiple LLM providers, configuring model access per team, and ensuring compliance with data privacy requirements.
On Shakudo, OpenCode runs inside the operating system for AI and data where authentication, model routing, and audit logging are already unified across tools. That means teams get centralized control over which models are used, automatic credential management, and seamless interoperability with other development and data tools, allowing engineers to focus on shipping code instead of environment configuration.
The result is faster developer onboarding and consistent AI tooling across the organization. Instead of each engineer managing their own provider keys and configurations, organizations can standardize on validated models and governance policies, while maintaining flexibility to swap providers or add local models as requirements evolve.
Core Shakudo Features
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Own Your AI
Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.
Faster Time-to-Value
Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts
Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.
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