code-validation-sandbox

Code validation applies language-aware syntax and runtime checks across Python, Node.js, and Rust code blocks. The sandbox detects errors, generates diagnostics with fixes, and produces actionable reports tailored to each language's tooling—Python AST checks, TypeScript tooling, and Rust cargo—so you catch issues before students encounter them.

Layer-aware validation adjusts validation depth across four teaching layers: Layer 1 (CRITICAL) catches syntax errors, Layer 2 (VERIFICATION) checks runtime behavior, Layer 3 (REUSABILITY) validates module patterns, and Layer 4 (INTEGRATION) ensures system interactions work. This graduated approach matches validation rigor to learning stage.

Yes. The sandbox performs language detection and applies language-specific validation strategies to Python, Node.js, and Rust blocks simultaneously. A single report generation pass detects syntax, runtime, and output issues across all three languages with fixes and rationale for each.

Yes. The sandbox requires a Docker-based environment and language-specific tooling—Python AST checks, TypeScript tooling, and Rust cargo—to execute and validate code samples safely. This containerized setup isolates execution and ensures consistent diagnostics across platforms.

The sandbox generates a pattern-driven diagnostic report containing syntax errors, runtime failures, and output mismatches. Each issue includes fix guidance, rationale, and next steps, enabling rapid iteration and clear feedback for educational code examples.

Run validation against chapters during content authoring or review to detect errors before publication. The inspector-like workflow supports rapid iteration, flagging issues early so students receive only tested, corrected code examples aligned to their learning layer.