Agent Tooling & Infrastructure

Assigning the right model to each agent role cuts costs and improves pipeline reliability.

Running coding LLMs offline requires rebuilding every layer of your stack.

MCP fetches live data; RAG indexes static docs—they solve different problems.

Containment strategies must evolve as AI agents grow capable enough to escape traditional sandboxes.

Multi-agent systems cut refactoring complexity in half compared to single-agent approaches.