Description: A step-by-step guide to running local coding agents with Olama and OpenCode. Leon compares Claude Code’s heavy context usage with a lightweight OpenCode harness, demonstrates installing Olama and models, and shows a phase-based workflow to build, test, and debug a Next.js chat app with streaming responses.
– Token & tooling constraint: Claude Code can consume ~30,000 tokens in system prompts/tools, which overwhelms many local models; a minimal toolset is recommended.
– OpenCode + Olama setup: Install OpenCode via npm and Olama locally, then pull models (recommendations: JEMMA 4 E4B/A4B for lower VRAM, Kraina 3.6 for 24GB+).
– Practical workflow: Launch OpenCode with your model, use separate planning/build modes, split large plans into focused tasks, implement in phases, and add browser/Playwright skills to test and fix streaming output.
Quotes:
Claude Code burns nearly 30,000 tokens on system prompts and system tools before you’ve sent a single request.
OpenCode ran faster, it followed the instructions perfectly, and it actually built things.
Keep instructions small and focused — massive prompts overwhelm local agents.
Statistics
| Upload date: | 2026-06-04 |
|---|---|
| Likes: | 1094 |
| Comments: | 104 |
| Statistics updated: | 2026-06-28 |
Specification: OpenCode + Ollama: I Replaced Claude Code With This (Full Setup)
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