We migrated because our AI orchestrator became something that needed tests, trust boundaries, and deterministic behavior. ForgeFlow is a fully local, multi-agent TDD system — a planning agent (Claude) designs a spec document set, and a local 45GB LLM executes TDD cycles overnight on Apple Silicon. During our initial development iterations, n8n was the orchestrator. It felt like the right call. Visual workflow, no-code glue, easy HTTP nodes, built-in error routing. What's not to like? Turns out, quite a lot. What n8n Got Right To be fair, n8n earned its place early on. When we were validating the core loop — call LLM → apply files → run pytest → branch on result — the visual canvas was genuinely useful. You could see the entire decision tree at a glance. Non-engineers could follow it. Debugging a single node failure was fast. And for a prototype, that matters. We got to a working TDD loop in far fewer iterations than a pure Python approach would have required.…