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

Agentic Development Context Layer: From SDLC to ADLC

We build it, validate it, and hand it off — a delivered knowledge base, not a subscription.

Swimm builds your agentic development context layer as a service: the validated knowledge base your AI tools need to understand your codebase — Copilot, Cursor, Claude Code, internal agents, MCP servers. Delivered by a team, not downloaded as a tool. 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

Your AI tools are only as good as what they know

Your AI tools are only as good as what they know about your codebase — and right now, that's not much.

AI coding tools guess on your codebase. Without real context, Copilot and Cursor pattern-match against generic code, not your system.

Agents hallucinate on legacy logic. The older and more tangled the code, the more confidently your AI tools get it wrong.

Tribal knowledge lives in people's heads. The context your agents need was never written down — it left with whoever understood the system.

The SDLC→ADLC shift stalls without trusted context. You can roll out every agentic tool on the market and still not move the needle, because the bottleneck is context, not tooling.

How it works

Three layers, working together

01 · Deterministic

Deterministic analysis establishes ground truth

Deterministic analysis grounds the context layer in your actual system — dependencies, entry points, data flows, dead code, and cross-repo relationships.

02 · AI

AI coordinates context at scale

AI agents coordinate around that trusted system context, applying verified patterns at scale.

03 · SME

SMEs validate before it ships

SMEs add the know-how that only lives in people's heads and validate everything before it's handed off — no "AI-best-effort" context layer ships.

MCP-queryable output

Deterministic → AI → SME

A staged engagement

Assessment

Scopes the plan and the modernization fit.

Specification

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

Modernization

Builds and validates the knowledge base itself, with visible progress throughout.

Enablement

Hands off the playbooks and training your team needs to keep the context layer current as your codebase 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

Book a scoping call

Works with the tools you've already chosen

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

Frequently asked questions

Is the agentic development context layer software we install?

No — Swimm delivers a validated knowledge base as a scoped engagement, not software you install or license. Our team does the mapping, extraction, and validation; you get the finished context layer.

Which AI tools can use the context layer Swimm builds?

Copilot, Cursor, Claude Code, your internal agents, and MCP servers — the context layer is built to be queryable by whatever tools your team already relies on.

How is the context layer validated for accuracy?

It’s anchored in deterministic analysis of your actual codebase, then verified by SMEs who add the knowledge automated tools can’t see. Nothing ships on an “AI-best-effort” basis.

How does a context layer differ from documentation?

Documentation is prose that drifts out of date. The context layer is extracted rules, flows, and system behavior your agents can act on directly — structured, validated, and queryable, not just readable.

What happens to the context layer as our codebase evolves?

That’s the Enablement stage: playbooks and training that let your team keep the knowledge base current as the system changes, so it doesn’t go stale the way documentation does.

From SDLC to ADLC — with context your agents can trust