Built a local 3-agent coding system (Architect/Executor/Reviewer) with qwen3-coder:30b + Ollama + OpenCode – here's what actually works and what doesn't

A Reddit post from r/ollama documenting a locally-run, privacy-preserving multi-agent coding system called "agent-forge," built around three specialized roles — Architect (planning), Executor (code generation), and Reviewer — all powered by qwen3-coder:30b via Ollama and OpenCode. The core insight is that separating planning from execution reduces hallucinated implementations, since a single agent asked to both plan and build tends to skip steps or invent details — enforcing the Architect to output only a plan makes the constraint concrete. Running the model locally through Ollama ensures no prompt data leaves the machine , and the post candidly covers both what works well and where the system still falls short in real-world use.

I built a local-first AI security scanner - 4 Agents, consensus scoring, free forever with Ollama
Cline with Ollama on a RTX4090 (24GRAM) and i9 with 64 GRAM
Agents in Ollama and Langflow
Ollama Open-Source Agent Self-Reflection Harness
Has anyone actually gotten a reliable local AI system running?
Can't get a good coding setup on Macbook Pro M3 Max 36GB

Source: r/ollama | 2026-04-15

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