@thdxr

Code-as-Action Dominance The shift from JSON-based tool calling to executable Python logic is no longer theoretical; it’s a benchmark-proven necessity. Hugging Face data shows code-action agents achieving a 40.1% score on GAIA, fundamentally outperforming brittle JSON schemas by reducing parsing hallucinations and improving token efficiency.

Orchestration Layer Maturity We are moving past the "vibe coding" era into a hard-engineered reality of self-healing systems. Tools like the Model Context Protocol (MCP) and gateways like Plex are stabilizing the agentic web, allowing for recursive context management and high-recall search-based reasoning that moves beyond simple prompt engineering.

The Modular Pivot Practitioners are increasingly decoupling the agent stack, favoring specialized expert routing and Monte Carlo Tree Search (MCTS) over monolithic model calls. This modular approach, combined with the rise of 30M parameter micro-agents and high-throughput local hardware like AMD's latest roadmaps, is making autonomous execution at the edge both viable and cost-effective.

Building for Persistence The ultimate goal has shifted from single-turn responses to persistent, self-correcting infrastructure. By implementing "hot-reloading" for agent skills and utilizing reasoning loops to solve complex mathematical conjectures, the community is building a nervous system for AI that acts, adapts, and survives production-grade demands.