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A duplicated YAML key made the whole config file unparseable. The loader caught it, warned about it 432 times, skipped the file and returned Ok — so the run used defaults nobody asked for. Then we fixed it one layer above where the error actually died.
The model was fine. GPT-5.6 Sol driven from goose's own engine did good work. Driven from Codex it gold-plated the quality gates until a ten-minute rebuild took over an hour, and it never once got to the end. Six days, zero completed runs, and a bill I cannot justify to anyone.
goose Local Edition is our fork of goose with a swarm engine and an execution-based scorer. The scorer boots the built application, drives it over HTTP and in a browser, and prices what a user would actually experience. On the current board our own fleet is last of seventeen at 0.0172 — here is why that number is the point.
A worker in my local-model swarm ran pytest against a file that did not exist, twice, and finished the task green. The pipe had eaten the exit code. Measured on bash and zsh, on pytest and cargo — including why turning pipefail on just moves the lie to the other side.
Our swarm workers kept re-reading files they had already read. Context compaction was summarising the tool output that held the file. Pasting the file into the summary does not fix it; returning the last turns verbatim does. Measured three ways on the same 27B.
Three weeks after the swarm shipped its first honest builds, the work stopped being about making small local models smarter and became about making them stop lying to me. Here is what 602 commits bought, what the desktop looks like now, and the three defects I found in my own honesty machinery while writing this post.
We built a harness that makes local coding agents produce real software, grades it by running it, and ran the same model as GGUF and MLX. Here's the harness, its modes and archetypes — and which build wins.
We forked Block's goose into a multi-agent swarm that decomposes a hard app spec into a task DAG, runs it across three small local models on LM Studio, and makes them verify their own work by actually running it. Over six days and 300-plus commits, the last real limit stopped being the swarm's coordination and became the small model's raw coding ability — and even that ceiling moved.
