What is Swimm.io?
Swimm.io is a comprehensive platform designed to modernize complex codebases with unparalleled accuracy and efficiency. It uniquely combines deterministic static analysis, generative AI, and senior engineering expertise to deliver modernization you can trust, end-to-end. The platform addresses the hardest parts of modernization through three distinct offerings, each beginning with an Assessment that locks scope, risks, and success criteria before any work begins.
First, Swimm enables business logic extraction from frontend to backend, turning embedded business logic into reusable services that support healthy product evolution around a single source of truth. Second, it facilitates the transition from SDLC to ADLC by building a validated knowledge base that powers AI tools like Copilot, Cursor, Claude Code, internal agents, and MCP servers, ensuring they understand your codebase deeply. Third, Swimm handles technical modernization projects directly, managing complex migrations with clear scope, validation, and staged delivery from planning through execution.
The platform's proprietary engine maps dependencies, entry points, data flows, dead code, and cross-repo relationships, providing output you can trust before making changes. Anchored in static analysis, Swimm's AI agents apply verified patterns across the codebase, coordinating analysis and workflows around trusted system context. Senior engineers validate the output, adding the know-how that only lives in people’s heads and catching what automated tools miss. This eliminates the risk of "AI-best-effort" shipped.
Swimm's operating model prevents modernization failures by keeping work scoped, visible, and verifiable. It turns your code into a traceable, structured understanding of the system, built on proprietary deterministic analysis anchored across every repo in scope. The platform runs AI agents and senior engineers against that understanding, orchestrated, monitored, and simulator-backed. Every task is tracked, and every output is verifiable. The result is migrated code, extracted services, shipped APIs, or an AI-ready knowledge base, delivered with accuracy, completeness, and on time.
Use Cases
Key Features
deterministic static analysis generative AI integration business logic extraction SDLC to ADLC transition technical modernization projects dependency mapping scope and risk assessment staged deliveryWho is it for?
senior engineers, product teams, platform teams, AI tool developers, enterprise IT managers, modernization consultants
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