How to Use Claude Code Agents: Workflow, Tools, and Safety
Learn how to use Claude Code agents with clear tasks, focused tools, permissions, subagents, hooks, and sandboxed execution.
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Large Language Model Use Cases for Coding Agents: 8 Practical Patterns
Explore large language models use cases that actually matter in coding-agent systems, from repo search to safe refactors, with context and sandbox best practices.
E2B Alternatives: Self-Hosted and Managed AI Agent Sandboxes (2026)
Looking for an E2B alternative? Compare self-hosted and managed AI agent sandboxes by isolation, control, scaling, persistence, and workflow fit.
How to Automate Tasks with AI: Context, Rules, and Agent Plans That Work
Learn how to automate tasks with AI using clear context, rules, agent plans, Novita AI models, and sandbox execution.
Source Code for AI: Open-Source Agents, Model Repos, and Sandboxed Runtimes
Looking for source code for AI? Learn where model repos, open-source code agents, and sandbox runtimes live, and how to build the stack with Novita Sandbox.
Neovim AI Plugins: MCP, Tool Use, and Sandbox Execution
Compare the best Neovim AI plugins for agentic coding, then pair model routing, MCP tools, and Novita Sandbox for safer execution.
Generative AI Use Cases in Customer Service: Context Rules for Coding Agents
Use customer service AI use cases to design better coding agents with tighter context, explicit rules, Novita LLM API, and Agent Sandbox.
Open Source Coding Agents: Best Tools and How to Build One
Compare open source coding agents, then build one with Novita's OpenAI-compatible model API and Agent Sandbox.
Claude Coding Agent Explained: How the Loop Works
See how Claude coding agents use a planner, tools, and a sandbox, then map the same coding-agent loop to Novita AI.
What Berkeley’s Agentic AI Summit 2026 Means for Developers Building AI Agents
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.
AI Agent Patterns: How to Plan, Use Tools, Execute Code, and Evaluate Results
Learn the core AI agent patterns for planning, tool use, code execution, and evaluation, with Novita LLM API and Agent Sandbox in the stack.
What Is an Agentic Workflow? How to Build One That Plans, Acts, and Evaluates
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.
How to Fix My Code with AI: A Practical Debugging Workflow
Learn how to fix code with AI using a reproducible debugging loop, sandboxed test runs, and Novita's OpenAI-compatible API.
Gemini Pro API Key Guide: Get a Gemini API Key, Endpoint, and Model ID
Need a Gemini Pro API key? Learn how to create a Gemini API key in Google AI Studio, find the current endpoint and model ID, and use OpenAI-compatible clients.