AI writes the code. The Living Blueprint keeps you in control of it — capture what your software is supposed to do once, generate from it, and prove every line matches before it ships.

Free report: complexity, vulnerabilities, licenses, architecture overview

THE DIFFERENCE

Most AI coding starts with a prompt.
We start with a spec.

Same speed. The difference is what the AI is building against.

Vibe codingprompt-first
Strataspec-native
You go straight from prompt to code
The prompt is the only record of what it should do
You read the code and hope it matches
You're the only one reviewing the AI
Missing requirements and security holes appear in production
You design the spec first — entities, rules, and flows
A typed spec defines what the system should do
Every requirement is checked against the code — pass or fail
An agent reviews each change against the spec
Gaps, drift, and security issues are caught before merge

SPEC-NATIVE

Spec-driven gets you a spec.
Spec-native keeps the code bound to it.

✓ in sync
SPEC
entity · Appointment
rule · 24h cancellation
endpoint · POST /appointments
CODE
table · appointments
fn · validateCancel()
route · createAppointment()

Change a requirement, the affected code is flagged. Change the code, the spec catches the drift.

01 · Discover

Create and edit specs through conversation.

Strata's discovery engine interviews you — pulling out the entities, rules, and workflows, plus the gaps you didn't think to mention — and writes them straight into the spec. You answer questions; it builds the source of truth.

9 discovery engines · gaps surfaced before a line of code

Strata · Discovery
new project
Reply to Discovery…
SPEC
strata19 — claude-code

02 · Build

Your AI writes the code. Strata audits every change.

The Strata plugin runs inside Claude Code — and Cursor, the CLI, any MCP client. As your AI writes, an auditor agent checks each change against the spec, catching missing requirements and unguarded endpoints before they land. No new editor. No after-the-fact surprises.

Claude CodeCursorCodexany MCP client

03 · Monitor

Your AI writes thousands of lines.
Here’s how you stay in control.

Strata watches every line your AI writes and rolls it up into one quality signal — so devs catch problems early and managers can see, at a glance, whether the code is actually good.

acme-apiCONVERGED
94/100
AI Quality
↑ 12 pts · last 30 commits
Completion

47/47

Convergence — every requirement actually implemented, not just claimed done.

Gaps

0 unbuilt

Requirements the AI never wrote code for.

Security

0 critical

Unguarded endpoints & security violations, caught structurally.

In sync

1 drift

Code that silently drifted from the spec since the last check.

Tested

46/47

Every requirement and guard backed by a real test.

Traceable

100%

Every line links back to the intent it serves — 0 orphaned.

Change impact

14 nodes

Everything the last AI change touches, before it ships.

Updated on every commit · deterministic, not an LLM’s guess

Dive deeper into every signal your AI produces.

Explore AI quality monitoring →

Why it changes how you build with AI

Persistent context across sessions

The spec doesn't reset when your AI session ends. Decisions, entities, and workflows stay in the graph — every new session starts with the full picture.

Smaller sharper prompts

Load only the relevant spec nodes instead of the entire codebase. Less hallucination, higher precision — the Blueprint narrows the AI's context to what actually matters.

Zero re-derivation overhead

The AI knows what's already built. No more re-analyzing your architecture on every session. The graph answers "what exists?" in under a second.

Auditable output, every commit

Every AI decision traces to a spec node. Nothing is invented. Every file, endpoint, and test links back to the intent that created it.

Stop guessing. Start verifying.

The Living Blueprint turns AI output into something you can own, audit, and ship with confidence.

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