scaffolding

Introduces Capability Conditioned Scaffolding, a framework for LLM collaboration that adapts intervention based on user expertise domains to prevent Professional Domain Drift, with pilot evaluation on MMLU subsets.

A tweet highlighting key principles for building agent systems, emphasizing scaffolding, memory, and reusable tools, based on an article by Yohei Nakajima.

A developer achieved 9/10 pass rate on real Go tasks using a routed local setup built around Qwen3.6 35B and the little-coder scaffold, showing strong local performance when paired with the right tooling.

A developer tested the same Qwen3.5-9B Q4 model weights under two different scaffolds on the Aider Polyglot benchmark, finding that a scaffold adapted for small local models (little-coder) achieved 45.56% vs 19.11% for vanilla Aider — suggesting coding-agent benchmark results reflect scaffold-model fit as much as model capability.