Amazon Web Services (AWS) introduced two artificial intelligence (AI)-powered capabilities to help startups build applications faster and move existing systems to the cloud with less technical overhead.
The new tools, AWS Startup Advisor and AI-assisted migration capabilities, are designed to reduce setup time, cut engineering complexity, and help founders make faster decisions on infrastructure, costs, and scaling. The features are available through startups.aws and integrated into developer environments including Kiro, Claude Code, Cursor, and VS Code.
More than 350,000 startups already run on AWS platform, and it continues to see demand for tools that simplify early-stage building and cloud migration.
“AI has fundamentally changed what’s possible for all of them (founders),” said Jason Bennett, VP and global head of Startups and Venture Capital at AWS, in a blog post. “A great idea no longer requires a computer science degree to get off the ground, and the time between prototype and revenue has never been shorter. We’ve spent the last three years evangelizing AI as a transformative force for startups, and increasingly we’re looking to apply AI to the founder experience itself, so builders can spend less time figuring out the “how” and more time building the “what.”
AWS Startup Advisor acts as an AI-based “solutions architect” that learns a startup’s stack, stage, and spending patterns to recommend infrastructure choices, security baselines, and cost controls. It can also monitor AWS Activate credits, alert founders about overspending, and suggest services based on whether a company is in the prototype stage or scaling toward enterprise customers.
The system draws on patterns from billions of interactions across AWS workloads and is positioned as a tool that can guide both technical and nontechnical founders through cloud setup, billing, IAM configuration, and architecture decisions.
The second capability focuses on migration. AWS said startups can now move infrastructure, applications, and AI models to AWS in days instead of weeks or months using AI-assisted planning and execution tools.
The migration system can generate service mappings, architecture diagrams, Terraform templates, cost estimates, and step-by-step runbooks. It supports migrations from Google Cloud Platform (GCP) infrastructure, Kubernetes workloads to Amazon EKS, ECS, or Fargate, PostgreSQL and MySQL databases to Amazon RDS or Aurora, Google Cloud Storage to Amazon S3, and AI workloads from providers such as Anthropic, Google Gemini, and OpenAI to Amazon Bedrock.
The tools are designed to reduce friction for startups that already plan to migrate but struggle with complexity and cost uncertainty.