Deterministic codebase analysis
Maps dependencies, entry points, data flows, dead code, and cross-repo relationships so teams can work from a traceable picture of the codebase before changing it.
Swimm is a modernization and code-understanding platform for complex codebases. Static analysis, AI agents, and senior engineer review support migration, documentation, and knowledge transfer.
Swimm is a modernization and code-understanding platform for complex codebases. It combines deterministic static analysis, AI agents, and senior engineer review to map systems, extract business logic, and deliver tracked changes across modernization projects.
The site positions Swimm for large-scale migrations such as Java migration, monolith-to-microservices extraction, and .NET migration, as well as AI-ready knowledge bases and code documentation work. It supports assessment, specification, modernization, and enablement phases, with validation evidence at each step.
Maps dependencies, entry points, data flows, dead code, and cross-repo relationships so teams can work from a traceable picture of the codebase before changing it.
Uses validated patterns to apply modernization changes across many files, including migration of Java frameworks, monolith extraction steps, and documentation generation.
Brings senior engineers into the workflow to validate outputs, catch edge cases, and add domain knowledge that automated tools miss.
Stages work from assessment through specification, modernization, and enablement so the engagement produces both code changes and handoff assets.
Produces deliverables such as architecture maps, business-logic documentation, test plans, validation evidence, playbooks, and training materials.
Teams modernizing Java systems can use Swimm to inventory JDK and app-server dependencies, document critical flows, and migrate from legacy frameworks such as Struts, EJB, JSP, WebSphere, and WebLogic toward a target stack with parity validation.
Organizations breaking up a monolith can use Swimm to identify service boundaries, shared state, and extraction candidates, then move functionality into services one at a time while keeping the original system running.
Teams working on .NET modernization can use Swimm as a structured assessment and migration partner for legacy codebases that need clearer understanding before change work begins.
Engineering and analyst teams can use Swimm to generate documentation, visualize flows, and institutionalize knowledge in codebases where business logic is hard to locate or explain.
Swimm’s pricing is based on the number of lines of code you want to understand. The pricing page also says project-based pricing can be designed for system integrators.
Yes. The pricing page says Swimm can use an internal LLM instance, including Azure OpenAI Service or OpenAI Enterprise.
Yes. Swimm supports on-prem, cloud-based, and air-gapped deployments.
Yes. The pricing page states that proof-of-concept options are available.
Swimm says it is SOC 2 and ISO 27001 compliant, and that reports are available upon request.