DeepSeek Harness Multimodal Update: From rc.8 to v0.1.1-rc.2
DeepSeek Harness added native images, a vision model, Files API reuse, subagent bundles, and Windows PTY improvements from rc.8 through v0.1.1-rc.2.
Insights on AI agents, model routing, and building production-ready AI systems.
DeepSeek Harness added native images, a vision model, Files API reuse, subagent bundles, and Windows PTY improvements from rc.8 through v0.1.1-rc.2.
Claude Browser Use combines screenshots with page structure. A practical reliability model for choosing APIs, DOM automation, and visual computer use.
F5 expanded AI Gateway across models, agents, and tools. The useful architecture lesson is separating routing, policy, tool authority, and evidence.
MAI-Code-1.1-Flash is rolling into GitHub Copilot with image understanding. A rigorous workflow for turning screenshots into verified code fixes.
AIPOCH's recent releases highlight artifacts, branching, subagents, and usage traces. Those features reveal what scientific-agent reproducibility really requires.
A practical look at combining GitHub Copilot SDK with Microsoft Agent Framework: what the harness adds, where trust boundaries sit, and when to use it.
Google's playbook for scaling Agent Skills: standard structure, CI, with-vs-without evals, accuracy and efficiency, ownership, and safe export.
Compare Google Cloud API Gateway model routing, LiteLLM, and OpenRouter on model reach, routing control, fallbacks, data boundaries, cost, and operations.
Review Open Multi-Agent's dynamic task DAGs, mixed coding-agent backends, approvals, replay, security defaults, and when the complexity pays off.