tools
Swimm
Swimm analyzes codebases, extracts business logic, and supports documentation, AI context, and large-scale modernization projects.

In inglese
Swimm combines deterministic code analysis, AI agents, and subject-matter experts to map dependencies, data flows, business rules, and critical system behavior. It supports legacy and mainframe code, documentation, API extraction, migrations, and AI-ready knowledge bases.
It is aimed at modernization teams, developers, product analysts, CIOs, and enterprises with complex codebases. Pricing is based on lines of code or fixed-price modernization stages; the site does not publish tier prices and directs prospective customers to contact Swimm.
Features
- Maps dependencies, entry points, data flows, dead code, and cross-repository relationships
- Extracts business logic and creates specifications from legacy and mainframe code
- Generates architecture maps, dependency diagrams, documentation, and critical-flow explanations
- Creates AI-ready knowledge bases for Copilot, Cursor, Claude Code, agents, and MCP servers
- Generates documentation from pull requests and can flag outdated documentation in CI
- Supports cloud, on-premise, and air-gapped deployments
- Supports customer-managed LLMs and deployment without AI
- Offers modernization stages covering assessment, specification, execution, and enablement
Use cases
- Map a legacy application before a modernization or migration project
- Extract business rules from COBOL, JCL, PL/I, and other codebases
- Generate specifications for product and business analyst teams
- Create validated context for internal AI coding tools and agents
- Keep developer documentation aligned with code changes in CI
- Plan and execute migrations from monoliths to services or newer platforms
Pros
Cons
Latest updates
- Swimm 2.0: the understanding platform for AI modernization (Swimm 2.0)
Swimm introduced Swimm 2.0, an understanding platform for AI modernization.
Capabilities
- Chat about your code — “Immediately answer ad hoc questions that developers get stuck on, even in the absence of existing documentation.” source
- Knows the whole codebase — “Our proprietary engine maps dependencies, entry points, data flows, dead code, and cross-repo relationships.” source
- Self-hosted — “On-premise deployment Including air-gapped environments” source
- Search over your data — “System understanding Architecture and dependency maps, dead-code analysis, documented critical flows, extracted business logic. Queryable by MCP.” source
Pricing
- Prices checked
- 2026-09-25