Think about this scenario: you're working on a complex application refactor, and after the initial stages of performing said refactor, you decide to run tests and see if the updates worked
Sandboxed Agents means we're going a level deeper in terms of where AI runs. Originally, it could be an Agent Harness like opencode or Codex running on your local terminal. Now,
As agentic runtimes continue to grow in both features/how they’re used and new agentic runtimes come out, how we interact with Agents, Models, and MCPs will alter. For example, if you’
Any time AI is spoken about, it's followed up with "and this is how much it's costing us". Cost management/optimization along with overall optimization of Agentic
