Kimi K2.6 for Agents: Trillion-Param Open Weights, Tested
Moonshot's Kimi K2.6 is a 1T-parameter open-weight MoE model for agents. What it's good at, where the params help, and how to wire it into a loop.
SandBase Blog
Insights on AI agents, model routing, and building production-ready AI systems.
Best Open-Weight LLMs for AI Agents in 2026 (Compared)
A head-to-head guide to open-weight LLMs for agents in 2026: Kimi K2.6, DeepSeek V4, GLM-5.1, Qwen 3.6. Which to pick for tool-use, context, or cost.
Guardrails for Production AI Agents: A Practical Guide
Real guardrails for AI agents in production: input validation, action allow-lists, sandboxing, cost ceilings, and human-in-the-loop. Patterns you can ship.
Qwen 3.6 for Agents: Alibaba's Efficient Open Model
Qwen 3.6 is Alibaba's open-source LLM that punches above its size on SWE-bench. Why a smaller, efficient model is often the smarter agent default.
AI Agent Observability: Logging, Tracing & Debugging Guide
AI agent observability guide: instrument structured logs, distributed traces, tool spans, token cost, and replay data to debug production agents.
5 Agent Design Patterns for Robust, Cheap AI Systems
Five agent design patterns for reliable, low-cost AI systems: ReAct, Plan-and-Execute, Reflection, Router, and Tool-First, with trade-offs for each.
AutoGen vs CrewAI: Multi-Agent Showdown (2026)
AutoGen vs CrewAI tested on real multi-agent tasks. AutoGen wins on flexibility; CrewAI wins on speed-to-ship. Full architecture and cost comparison inside.
Why Autonomous AI Agents Need Secure Sandboxes
Autonomous AI agents that run code and shell commands need isolation. Why sandboxes are non-negotiable in production, the isolation levels, and how to choose.
Best AI Sandboxes for Agent Development in 2026
A comparison of AI sandboxes for agent development in 2026: E2B, Modal, Daytona, and self-hosted options. Cold-start latency, isolation, and pricing.