Boost Your AI Coding with OpenCode + Oh My OpenCode: A Low‑Cost Agent Workflow

What is OpenCode?

OpenCode is an open‑source AI programming environment that runs directly in the terminal, essentially a command‑line version of Cursor.

Why OpenCode has gained popularity

Fully open‑source and highly compatible : It does not bind to any vendor and supports almost all major models (OpenAI, Claude, Gemini, and even local Ollama).

Native support for MCP (Model Context Protocol) : Allows developers to run complex full‑stack agent workflows in the terminal with minimal resource consumption.

Terminal‑native : Directly invokes system tools such as git, grep, and cat, offering higher execution efficiency than GUI tools.

In short, OpenCode is more than a chatbot; it acts as a “virtual engineer” that can operate your system.

Cost calculation (OpenCode + Copilot)

The tool itself is free, but the underlying models cost money. Claude Opus 4.5, while powerful, is expensive with a 200 K token window and a 3× consumption multiplier. GitHub Copilot members receive a monthly quota (e.g., 300 free calls), which can be strategically used for up to 100 full‑capacity Opus 4.5 runs per month.

Key is how you spend those 100 runs. Simple "Hello World" scripts waste the quota, whereas the ulw (Ultra‑Long Work) mode can fully utilize the 200 K context to generate complete project scaffolding, including architecture, front‑end, back‑end, database schema, and unit tests, effectively turning a few dollars into deep inference worth dozens of dollars.

Core plugin – Oh My OpenCode

Oh My OpenCode injects the essential Sisyphus agent orchestration system into OpenCode.

Todo Continuer mechanism : AI must not stop until the task is completed; it iterates through code, tests, debugging, and re‑coding automatically.

Special‑forces division : The Hephaestus agent (driven by Opus 4.5) writes core logic, while the Librarian agent (Sonnet) fetches the latest documentation.

Rejects "AI‑style" noise : Integrated LSP and AstGrep ensure code conforms to standards and automatically clean up AI‑generated filler comments.

Thus, Opus 4.5 not only writes quickly but also produces code with the rigor of a senior engineer.

Practical workflow

With a 200 K context window and Sisyphus scheduling, the workflow looks like this:

Pane 1 (backend):

opencode
> ulw: design user table schema, implement CRUD API, and write unit tests

Pane 2 (frontend):

opencode
> ulw: based on the component library, implement the user‑management list page

During execution, the ulw mode fully exploits the long context, while Sisyphus orchestrates multiple agents in parallel, resembling a small development team working together.

Best experience – automatic testing

The workflow enforces a strict "modify → test → fix → repeat" loop. AI does not simply hand over code; it repeatedly runs tests, fixes failures, and only proceeds when the test suite passes.

"Changes must run tests/lint"

"If a test fails, AI locates, fixes, and retries until it passes"

For Git commits, the author keeps a "human‑in‑the‑loop" approach: AI prepares commit messages and suggests granularity, while the developer confirms the final commit and push actions.

Installation – let AI do the heavy lifting

Instead of manually reading documentation, the author prompts an AI (e.g., Cursor or ChatGPT) with:

"Please read the OpenCode documentation and generate the macOS installation commands for OpenCode and the Oh My OpenCode plugin in one step."

Reference installation steps:

Install core tool : curl -fsSL https://opencode.ai/install | bash Install plugin (invoke Sisyphus) :

bunx oh-my-opencode install --no-tui --claude=yes

Configure authentication : Link your GitHub Copilot account as prompted.

Conclusion

The combination of OpenCode and Oh My OpenCode provides an engineered agent orchestration (Sisyphus) that amplifies the value of Claude Opus 4.5’s 200 K token window, enabling low‑cost, high‑efficiency AI‑assisted development.

If you have Copilot credits, trying this "Sisyphus‑style" relentless coding approach can dramatically increase the amount of work the AI can perform for the same price.

Project repositories:

OpenCode: https://github.com/anomalyco/opencode

Oh My OpenCode: https://github.com/code-yeongyu/oh-my-opencode