AI excels at generating code, but its probabilistic nature, attention dilution, and context window limits restrict the ability to remediate massive codebases with millions of lines.
But what if the AI had the facts? Deterministic data is the answer.
CAST goes line by line across the tech stack, distilling every object, explicit and implicit dependency. This deterministic metadata is then fed by the new AI director into AI agents such as Princeton’s SWE-agent, along with insights about the application’s deficiencies. The CAST-informed AI agent can then propose a new, remediated version of the deficient parts of the application.
Are you ready to rewrite the rules? Secure your spot on the waitlist now.
Read the announcement