Description CodeGen Sandbox is a safety oriented toolkit for teams using AI generated code in development workflows. AI coding tools can accelerate engineering, but generated code can include unsafe operations, hidden assumptions, insecure dependencies, weak error handling, or untested logic. This module provides a controlled workflow for reviewing generated code, running sample execution in a sandbox style environment, checking file changes, applying lightweight policy rules, and preparing code for human review. It can support AI assisted coding, internal developer tools, code generation agents, script generation workflows, and rapid prototyping environments. A typical workflow is to receive generated code, place it into a controlled directory, run static checks or predefined tests, inspect file operations, review dependency usage, and then decide whether to promote it into the main codebase. The module is not a replacement for professional code review, security testing, or CI/CD. It should be used as an extra safety layer before generated code reaches production repositories. It pairs well with SecretGuard Scanner, LicenseScan Auditor, ContainerOps Pack, and WorkflowOrchestrator AI. Product attributes Canonical product name: CodeGen Sandbox Module type: Safe code generation and execution review toolkit Primary category: AI developer tools Secondary categories: Code safety, sandbox workflow, AI coding review, generated code validation Suggested list price: £599.00 Intended users: Developers, AI coding teams, platform engineers, technical founders, security reviewers Applicable lifecycle stage: AI assisted development, generated code review, rapid prototyping, script validation Typical inputs: Generated code snippets, scripts, dependency files, execution commands, review policies Typical outputs: Code review notes, execution logs, safety flags, dependency warnings, promotion recommendations Delivery format: ZIP package automatically delivered by email after purchase Expected package contents: Source files, sandbox workflow examples, review policy templates, documentation, tests, sample scripts Runtime environment: Python based local development environment Integration mode: AI coding workflow, local review tool, pre commit support layer, generated script validation stage Recommended skill level: Intermediate Commercial rights: Full commercial use is permitted Modification rights: Modification, custom review policy design, internal adaptation, and proprietary integration are permitted Open source policy: Public open sourcing is prohibited Redistribution policy: Resale, redistribution, sublicensing, or repackaging as a standalone module is prohibited Production readiness note: Requires security review, dependency scanning, CI integration, human code review, and project specific policy configuration Validation standard: The module is considered valid when sample generated code can be checked, executed in controlled mode, logged, and flagged as documented
