suitescript 2.1
10 Articles

NetSuite Custom Tool Scripts: Building MCP AI Connectors
Learn how to use NetSuite Custom Tool Scripts and the AI Connector Service to build Model Context Protocol (MCP) tools for LLMs with SuiteScript 2.1.

NetSuite SuiteCloud Developer Assistant Setup in VS Code
Learn how to configure the NetSuite SuiteCloud Developer Assistant in VS Code using the Cline plugin. Explore AI code generation for SuiteScript 2.1.

SuiteScript 1.0 to 2.1 Migration Guide for NetSuite
A technical guide to migrating legacy NetSuite SuiteScript 1.0 to SuiteScript 2.1. Learn about architectural differences, ES2019 syntax, and migration steps.

SuiteScript 2.1: Optional Chaining & ES2020 Features
Examine SuiteScript 2.1 support for ES2020 features like optional chaining and nullish coalescing. Review technical implementations and GraalVM engine updates.

SuiteScript 2.1 record.submitFields Governance & Limits
Analyze the governance costs and limits of record.submitFields in SuiteScript 2.1. Learn to optimize NetSuite scripts and reduce API usage units efficiently.

SuiteScript 2.1 HTTPS Promises: Map/Reduce Async Patterns
Learn how to use SuiteScript 2.1 HTTPS Promises and async/await in NetSuite Map/Reduce scripts. Understand governance limits and asynchronous best practices.

SuiteCloud Developer Assistant: NetSuite AI Coding Guide
Comprehensive guide to the SuiteCloud Developer Assistant in NetSuite 2026.1. Learn setup, usage, and limitations of this AI tool for SuiteScript and SDF.

SuiteScript 2.1: Modern JavaScript Features & Promises
Examine how SuiteScript 2.1 integrates modern JavaScript features like optional chaining, nullish coalescing, and native promises using async/await in NetSuite.

NetSuite N/LLM Module: SuiteScript GenAI API Guide
Technical guide to NetSuite N/LLM module. Learn SuiteScript methods like generateText, implement RAG, and understand API governance and usage quotas.

NetSuite N/LLM Module Guide: Methods, Limits & RAG
Explore the NetSuite N/LLM module for SuiteScript 2.1. Learn about text generation, embeddings, RAG implementation, and OCI integration with code examples.