Model Releases
// Applying Anthropic Primitives at Large Enterprises // Frontier models collapsed the cost of writing custom code. But they did not reduce …
// Applying Anthropic Primitives at Large Enterprises // Frontier models collapsed the cost of writing custom code. But they did not reduce the cost of reviewing and maintaining it. Each bespoke solut
// Applying Anthropic Primitives at Large Enterprises // Frontier models collapsed the cost of writing custom code. But they did not reduce the cost of reviewing and maintaining it. Each bespoke solution drifts from the next. This means that there is a huge tax that goes into understanding them because this means reading their codebase from scratch. The usual answers, an off the shelf product, a graph orchestration framework wired per use case, or a low code platform used as orchestrator, are custom every time and limited in scope. This position paper argues for the harness paradigm instead. One coding agent harness runs unmodified as the backbone, with identical code across every deployment. It builds on three recent findings. Harnesses suffice at the task level and outperform more elaborate architectures on enterprise work. Harness choice accounts for more variance in agent benchmark results than model choice does. Paper: https://arxiv.org/abs/2608.20622 Track more trending AI papers in our academy: https://academy.dair.ai/
Related
- Applying Anthropic Primitives at Large Enterprises: Harness Paradigm for Knowledge Work
- Own your harness. I really wish the Claude Code harness was open source. I often think about this, especially now that custom harnesses are …
- This is smart from Cline. They just launched ClinePass, which makes it easy to access the latest open-weight models like GLM 5.2, Kimi k2.7-…
- Another big reason to use combination of frontier models. Chain-of-thought monitoring is treated as a reliable safety layer for agents. This…
Source: DAIR.AI (X) | 2026-08-24