STORY · VERKTOY_
From models to agents: context and orchestration become the new performance factors
An overview of developments in the AI community shows that focus is gradually shifting from optimizing model weights to building better context pipelines and agent orchestration systems. Coding agents like Claude Code and GPT-5.3-codex show significant improvements through prompt-tuning and middleware optimization, and open-source frameworks like Hermes and Flue are developing rapidly.
WHY IT MATTERS
This signals a paradigm shift in how AI developers think about performance: it's no longer primarily about getting better base models, but about composing them more intelligently together with memory strategies and orchestration systems. At the same time, new challenges are emerging around pricing when agents consume massive amounts of tokens.
SOURCES
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