Strong momentum around cost optimisation and workflow efficiency defines the mood. Reasonix and code-review-graph tackle token waste head-on, while Beever Atlas and Squad automate knowledge management and team coordination. The tooling is maturing fast.

Model Context Protocol (MCP) is an emerging standard for connecting AI models with external tools and data sources through structured interfaces. It's appearing everywhere because it standardises how AI agents access APIs, databases, and services. Beever Atlas and CyberStrikeAI both use MCP to extend their capabilities beyond basic chat.

Prefix caching stores repeated prompt beginnings to avoid recomputing identical tokens across requests. When our app sends similar prompts repeatedly, the model caches the shared prefix and only processes the new suffix, dramatically reducing compute costs and latency. Reasonix achieves 94% cache hits through byte-stable prompts that maintain consistent prefixes.