Grit, a NY-based platform that uses machine learning and static analysis to eliminate technical debt, is launching with $7M in funding.
The round was led by Founders Fund and Abstract Ventures with participation from Quiet Capital, 8VC, A* Capital, AME Cloud Ventures, SV Angel, Operator Partners, CoFound Partners, and Uncorrelated Ventures, as well as angels Vercel’s Guillermo Rauch, Adobe’s Scott Belsky, and entrepreneur Sahil Bloom.
The company intends to use the funds to expand operations and its development efforts to support every major programming language.
Led by Morgante Pell, founder & CEO, Grit is developing tools tht can modify code at scale. It allows developers to express a high-level goal, such as splitting a monolith into microservices, upgrading from AngularJS to Angular 16, or converting a codebase from JavaScript to TypeScript, while delegating the implementation details to AI agents. When delegating tasks to Grit, developers can be flexible in how much detail they specify and provide. Large swathes of code can be modified automatically, while specific details around sensitive parts of the codebase are specified with greater precision with deterministic, declarative rules. This approach is enhanced with static analysis tooling that understands code at the same level as the compiler or interpreter.
Today, they are launching an open beta with support for JavaScript, TypeScript, Python, CSS, and Terraform.
