Automate AWS Lambda Runtime Upgrades with AWS Transform custom | Amazon Web Services

"Organizations carry a growing burden of technical debt - aging codebases, outdated runtimes, and legacy frameworks that slow innovation, increase security risk, and inflate maintenance costs. Addressing this debt requires tackling a wide range of code transformation challenges: version upgrades, runtime migrations, framework transitions, and language translations, all of which must be repeated across multiple codebases."

"AWS Transform custom addresses this gap - an intelligent AI agent that learns organization-specific code transformations, executes them consistently at scale, and improves from developer feedback, without requiring specialized automation expertise."

"When a Lambda runtime reaches end of life, functions lose access to security patches and technical support, leaving applications potentially exposed to known vulnerabilities and compliance risks. Performance degrades as optimizations in newer runtimes go unrealized, and technical debt compounds."

Organizations struggle with technical debt from aging codebases, outdated runtimes, and legacy frameworks that consume 20-30% of development effort and increase security risks. Manual code transformations including version upgrades, runtime migrations, and framework transitions are repeated across multiple codebases without effective scaling. AWS Transform custom addresses this challenge as an intelligent AI agent that learns organization-specific code transformations, executes them consistently across codebases, and improves through developer feedback without requiring specialized automation expertise. Lambda runtime deprecation presents a critical transformation challenge, as organizations must upgrade hundreds or thousands of functions before runtimes reach end-of-life to maintain security patches, technical support, and performance optimization.

Read at Amazon Web Services