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Claude Code Permissions Explained: Safe Command Execution, Project Controls, Sandboxing, Hooks, and Developer Guardrails for Reliable AI Coding
Claude Code permissions define what the coding agent can read, edit, run, fetch, automate, and access during development, which makes them one of the most important control layers for safe AI-assisted software engineering. The central issue is that a coding agent does not only produce text. It can inspect files, propose edits, execute commands, interact with tools, use project instructions, call external services, and participate in workflows that affect real repositories. Th
2 minutes ago


OpenRouter Tool Calling: Function Schemas, Structured Responses, Provider Routing, and App Integration for Production AI Workflows
OpenRouter tool calling gives developers a practical way to connect AI models to external application functions while keeping a broadly OpenAI-compatible request pattern across many providers. The core value is portability, because an application can define tools once, send those tool definitions through OpenRouter, receive tool calls from supported models, execute the requested functions in its own backend, and return the results for the model to use in a final answer. This
12 hours ago


Claude Opus 4.7 Pricing Explained: API Costs, Claude Plan Access, 1M Context Limits, Prompt Caching, Batch Discounts, and Usage Trade-Offs
Claude Opus 4.7 is a premium model for difficult reasoning, complex coding, long-context analysis, agentic workflows, and high-stakes enterprise work, so its pricing should be evaluated through the full workflow rather than only through the headline token rate. The model keeps the same broad Opus-tier pricing pattern as its immediate predecessor, with input and output tokens priced differently, prompt caching available for repeated context, batch processing available for asyn
1 day ago
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