Insights
Technical analysis of AI agent frameworks, model capabilities, and workflow patterns for teams building production agentic systems.
Anthropic's Opus 4.7 hit 87.6% on SWE-bench Verified — 25 points above the previous frontier. Here's what effort controls, task budgets, and a 1M token context window actually mean for teams building multi-step agent workflows.
google/adk-python, llama-stack, codex-cli, and goose accumulated 24,000+ stars in April 2026. Every framework converged on graph-based execution, async dispatch, MCP tool discovery, and observability hooks — here's what that means for the abstraction layer above them.
Microsoft unified Semantic Kernel and AutoGen into a single production-stable SDK. Five orchestration patterns are now guaranteed stable, MCP tool discovery ships by default, and multi-provider routing cuts costs 40–60%. Here's a complete breakdown.
MCP moved from Anthropic's internal protocol to a Linux Foundation standard with AWS, Google, Microsoft, and OpenAI on the governing board. With 10,000+ public MCP servers and 1,445% enterprise multi-agent adoption growth, here's what changed and what to do next.
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