AI agents

Claude coding agents use a planner, tools, and a sandbox to write and fix code. Learn the loop and how to build the same pattern with Novita AI.

A builder-focused read on Berkeley’s Agentic AI Summit 2026: why agentic AI is moving into real systems, what themes matter, and how to build with Novita AI.

Learn the core AI agent patterns for planning, tool use, code execution, and evaluation, with Novita LLM API and Agent Sandbox in the stack.

An agentic workflow uses an LLM to plan, call tools, run code, and evaluate results. Learn the architecture, trade-offs, and a practical build path.

Set up the Gemini Pro API with a Google AI Studio key, current model ID, native REST endpoint, OpenAI-compatible client, and agent backend pattern.

Best AI sandbox solutions in 2026 compared: Novita Agent Sandbox, E2B, Daytona, and Modal — use-case matching table, evaluation criteria, and honest tradeoffs.

Coding agents combine an LLM planner, tool execution, and a sandboxed runtime to autonomously write, run, and fix code. Learn how the full loop works and how to build one.

Best AI agent sandbox in 2026: Novita Agent Sandbox leads with Firecracker microVM, BYOC in AWS/GCP VPC, and no subscription fee. Compare E2B, Daytona, Modal, and Vercel Sandbox.

How to evaluate AI agent sandboxes across cold start, isolation, GPU, BYOC, and pricing. Covers E2B, Daytona, and Novita Agent Sandbox with a concrete decision framework.

What is an AI agent sandbox? Learn how isolation, egress filtering, snapshotting, and container vs. microVM boundaries work — and when you need one.

AI sandbox solutions by category: managed cloud, self-hosted, embedded interpreter, full agent runtime — evaluation dimensions and use-case matching table.

Understand what makes an AI code execution sandbox secure: isolation models, egress controls, secrets handling, and the right questions to ask any provider.

AI agent sandbox FAQ covering isolation, egress, file access, state, secrets, audit logs, compliance, pricing, and safe code execution.