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**GLM-5.2** emerges as a leading open-weight coding model rivaling **Opus 4.8** and **GPT-5.5** in software engineering tasks, emphasizing the strategic importance of open models for provider competition, on-prem deployment, and fine-tuning rights. Experts like **Patrick Toulme** and **Thomas Wolf** highlight its frontier capabilities and structural impact on the AI ecosystem. The usability of GLM-5.2 heavily depends on serving infrastructure and agent harnesses, with tools like **sglang cookbooks** and **deepagents code** enhancing evaluation and deployment. In agent engineering, the focus shifts to orchestration patterns such as **agent fan-out** and **loop engineering**, with **Hermes Agent v0.17.0** advancing as a robust open agent stack supported by community-driven deployments. Additionally, **Cloudflare** is becoming a significant player in agent infrastructure.
Leer el original en AINews / smol.ai →