Modernize legacy telecom automation at scale with AWS Transform

This article demonstrates how to modernize legacy telecom automation scripts using AWS Transform custom, which converts legacy code like TCL/Expect to modern languages like Python 3.12 through agentic AI and reusable transformation definitions.

• Define transformation objectives in natural language to create reusable transformation definitions with SKILL.md and optional reference documentation
• Transform legacy codebases by applying definitions locally, validating output, and running build verification on your machine
• Scale by publishing validated definitions to a registry for organization-wide reuse, with each run capturing new patterns that improve future transformations
• Telco modernization playbook: scope use cases by domain, assess repository scale and prioritize by criticality, gather domain knowledge, build definitions iteratively, test for functional equivalence, and establish continuous improvement
• AWS Transform custom CLI (atx) enables interactive and non-interactive transformation workflows with automatic knowledge extraction and learning across repositories

AWS Transform custom enables telecommunications organizations to modernize decades of legacy automation scripts at scale without requiring deep expertise in obsolete languages, while maintaining parallel running, gradual cutover, and rollback capabilities for 99.999% availability systems.