Agentic modernization, delivered. Accurate, complete, on time.

AI-Ready Codebase: Context You Can Trust

Built and validated for you. Not a one-size-fits-all platform.

An AI-ready codebase isn’t about buying more AI tools — it’s about giving the tools you already use validated context. Swimm delivers that as a service: a verified knowledge base for Copilot, Cursor, Claude Code, internal agents, and MCP servers. Swimm is a product-enabled service company. We combine deterministic analysis for accuracy, AI for scale, and SMEs to catch what tools miss.

The problem

The real bottleneck is context, not your model

You rolled out AI tools. The results still aren't there, and the tools aren't to blame.

AI assistants underperform on your real codebase. They're trained on the internet's code, not yours — and the gap shows up in every suggestion that misses your system's actual patterns.

Agents hallucinate on legacy logic. The parts of your codebase that most need automation are exactly the parts your agents understand least.

Adoption stalls because output can't be trusted. Once engineers catch an agent being confidently wrong, they stop trusting it — and stop using it.

The context problem, not the model, is the bottleneck. Better models don't fix a codebase your tools don't understand.

How it works

Three layers, one validated knowledge base

01 · Deterministic

Deterministic analysis establishes ground truth

Deterministic analysis maps your system as ground truth — dependencies, entry points, data flows, dead code, cross-repo relationships.

02 · AI

AI coordinates context at scale

Swimm AI agents apply verified patterns at scale across your codebase, anchored in that trusted context.

03 · SME

SMEs validate before it ships

SMEs validate the resulting knowledge base, adding what only they know and catching what automated analysis can't — delivered as a validated, MCP-queryable knowledge base, not a best-effort output.

MCP-queryable output

Deterministic → AI → SME

A staged engagement

Assessment

Scopes the plan and modernization fit.

Specification

Extracts the rules, flows, and behavior your agents need.

Modernization

Builds and validates the context layer itself, with visible progress throughout.

Enablement

Hands off playbooks and training so your team keeps the codebase AI-ready as it evolves.

What you get

A workspace, not a stack of files

Every deliverable lives in one place. Yours to keep, queryable by your tools.

Delivered change

Extracted services and APIs
Refactored web and mobile clients
API contracts and schemas
One source of truth for business logic

System understanding

Logic distribution map
Architecture and dependency maps
Dead-code and duplication analysis
Critical flow documentation
Queryable by MCP

Enablement assets

Parity test suite
Extraction playbooks
Team training
Queryable knowledge base

Agent answer — without validated context

> Where is the retry limit for failed payments enforced?

“It’s likely handled in PaymentService.java — possibly a constant named MAX_RETRIES. You may also want to check the config files.”

Guessed — file doesn't exist No source cited

Agent answer — with validated context

> Where is the retry limit for failed payments enforced?

“Retry limit is 3, enforced in billing/retry_policy.cbl, invoked from PAYPROC after each declined authorization. Changing it also affects the nightly reconciliation batch.”

Traceable to source SME-validated

Book a scoping call

Works with the tools you've already chosen

GitHub Copilot Cursor Claude Code Internal agents MCP servers

Methodology built and led by Swimm's founders — Oren, CEO · Gilad, CTO. Every deliverable ships with validation evidence.

Frequently asked questions

What makes a codebase AI-ready?

Validated, queryable context — rules, flows, and dependencies your agents can trust, not just more prompts or a bigger model. That’s a delivered engagement with Swimm, not a platform you license.

Do we need to buy new AI tools to get an AI-ready codebase?

No — Swimm makes the tools you’ve already chosen work better by giving them validated context. It’s an engagement, not another license.

How does Swimm validate the context AI tools consume?

Deterministic analysis builds the ground truth, and SMEs verify it before anything is handed off — nothing ships on an “AI-best-effort” basis.

Which coding agents and assistants benefit?

Copilot, Cursor, Claude Code, your internal agents, and MCP servers all draw on the same validated knowledge base.

Who maintains the AI-ready knowledge base after handoff?

Your team does, using the playbooks and training delivered in the Enablement stage — the knowledge base is built to stay current, not to go stale like documentation.

Give your AI tools context they can trust